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Reciprocity: Different behavioural strategies, cognitive mechanisms and psychological processes

Abstract

Reciprocity is probably one of the most debated theories in evolutionary research. After more than 40 years of research, some scientists conclude that reciprocity is an almost uniquely human trait mainly because it is cognitively demanding. Others, however, conclude that reciprocity is widespread and of great importance to many species. Yet, it is unclear how these species reciprocate, given its apparent cognitive complexity. Therefore, our aim was to unravel the psychological processes underlying reciprocity. By bringing together findings from studies investigating different aspects of reciprocity, we show that reciprocity is a rich concept with different behavioural strategies and cognitive mechanisms that require very different psychological processes. We reviewed evidence from three textbook examples, i.e. the Norway rat, common vampire bat and brown capuchin monkey, and show that the species use different strategies and mechanisms to reciprocate. We continue by examining the psychological processes of reciprocity. We show that the cognitive load varies between different forms of reciprocity. Several factors can lower the memory demands of reciprocity such as distinctiveness of encounters, memory of details and network size. Furthermore, there are different information operation systems in place, which also vary in their cognitive load due to assessing the number of encounters and the quality and quantity of help. We conclude that many species possess the psychological processes to show some form of reciprocity. Hence, reciprocity might be a widespread phenomenon that varies in terms of strategies and mechanisms.

Introduction

The theory of natural selection predicts that only those behaviours evolve that increase the actor’s own survival and reproductive success (Darwin, 1859). Paradoxically, many species provide benefits to others, for instance, by providing care, food, information and support to con- and heterospecifics (Dugatkin, 1997). Cooperation is such a widespread phenomenon that we find evidence across the animal kingdom, ranging from bacteria (Crespi, 2001) to humans (Fehr & Fischbacher, 2003). The paradox of the evolution of cooperation was resolved for interactions between related individuals, i.e. by helping kin, shared genes are more likely to be transmitted to the next generations, which is in the interest of the helper (Hamilton, 1964). Still, the kin selection theory cannot explain the frequent occurrence of cooperation among unrelated individuals. Trivers (1971) offered a solution: reciprocal cooperation, i.e. helping those that were cooperative before. While several theoretical models have shown that cooperation can evolve via reciprocity (reviewed in Nowak, 2012), the theory has faced considerable resistance (e.g. Clutton-Brock, 2009; Connor, 2010; Hammerstein, 2003; Russell & Wright, 2009; Sánchez-Amaro & Amici, 2015; Stevens, Cushman, & Hauser, 2005; Stevens & Hauser, 2004, 2005; West, Griffin, & Gardner, 2007).

It is a central problem of the theory of reciprocity, and explaining cooperation more generally (especially among non-kin), that the extent to which behavioural exchanges are based on reciprocity is unknown. This problem is tightly linked to the cognitive underpinnings of reciprocity. Researchers, who assume reciprocity to be highly cognitively demanding, came to the conclusion that reciprocity is virtually absent in non-human animals (Amici et al., 2014; Clements & Stephens, 1995; Hauser, McAuliffe, & Blake, 2009; Pelé, Dufour, Thierry, & Call, 2009; Pelé, Thierry, Call, & Dufour, 2010; Sánchez-Amaro & Amici, 2015; Stephens, McLinn, & Stevens, 2002; Stevens et al., 2005; Stevens & Hauser, 2004). In contrast, researchers who assume that reciprocity varies in its cognitive load came to the opposite conclusion that reciprocity is widespread (Brosnan & de Waal, 2002; Brosnan, Salwiczek, & Bshary, 2010; Carter, 2014; Freidin, Carballo, & Bentosela, 2017; Melis & Semmann, 2010; Raihani & Bshary, 2011; Schino & Aureli, 2009, 2010b; Taborsky, Frommen, & Riehl, 2016). Here, we argue that the debate can be enriched and potentially resolved by identifying and discussing the concrete psychological processes of all different forms of reciprocity by using and incorporating findings from different lines of research. Although several authors have discussed the various mechanisms that may underlie reciprocal exchanges between individuals (e.g. Brosnan & de Waal, 2002; Schino & Aureli, 2010b), as far as we know, no attempt has been made to systematically relate those mechanisms to the psychological processes underlying them. Our aim in this article is to bring attention to this issue as a necessary step towards the ultimate goal of elucidating the psychological processes underlying different forms of reciprocity. Accordingly, our article is organised as follows: First, we summarise different behavioural strategies and cognitive mechanisms enabling reciprocity. Second, we apply this framework to three textbook examples of reciprocity, i.e. the Norway rat (Rattus norvegicus), the common vampire bat (Desmodus rotundus) and the brown capuchin monkey (Cebus apella). Third, we discuss the crucial behavioural, cognitive and emotional components enabling different forms of reciprocity. These psychological processes will allow us to draw clear predictions under which conditions reciprocity is likely to evolve. Finally, we provide concrete examples for prospective studies to better understand the evolutionary and psychological origins of reciprocity.

Different forms of reciprocity

Trivers (1971) defined reciprocity as one individual selectively providing helpful acts with another individual that will provide benefits in return. Hereby, helpful acts are costly to the actor and beneficial only to the recipient. There are various examples of evidence for individuals that exchange help conditional on the partner’s previous helping level across the animal kingdom (reviewed in Díaz-Muñoz, DuVal, Krakauer, & Lacey, 2014; Dugatkin, 1997; Hemelrijk & Luteijn, 1998; Jaeggi & Gurven, 2013; Schino, 2007; Schino & Aureli, 2008, 2010c; Taborsky, 1994; Taborsky et al., 2016). Evidence ranges from bacteria (Inglis, West, & Buckling, 2014) to humans (Bowles & Gintis, 2011). However, such conditional help has not always been termed reciprocity because some authors suggest restricting the term to situations in which individuals are able to cognitively compute cost-benefit analyses (reviewed in Carter, 2014).

We think restricting the term reciprocity to complex computations, i.e. keeping track and weighing costs and benefits when helping other, is problematic for at least three reasons. First, humans, who are often regarded as the only species capable of reciprocity, rarely reciprocate favours by calculating costs and benefits (Bowles & Gintis, 2011, pp. 186-194; Carter, 2014). Furthermore, when defining reciprocity, Trivers did not restrict the term to animals that are capable of calculating such cost-benefit analyses. In fact, he suggested that emotions might be guiding human reciprocity (Trivers, 1971). He proposed that (1) sympathy might be the motivator to help, (2) gratitude the measure of helpfulness, (3) guilt the reason to not cheat and (4) trust the mechanism of partner choice. Restricting the term reciprocity to complex calculations would hence also restrict human reciprocity to only a few situations, i.e. mainly business relationships, which does not resemble the everyday usage of the term (cf. Cambridge Dictionary). Second, restricting the term to complex calculations prevents us from understanding the general explanatory power of the theory of reciprocity. Many animals cooperate conditionally with kin and non-kin (see above). However, these results have been largely neglected because the focus of the current debate lies on explaining why reciprocity is rare or cannot exist (e.g. André & Nolfi, 2016; Hammerstein, 2003; Russell & Wright, 2009). Third, restricting reciprocity to few instances prevents us also from understanding its evolutionary origins. Studying conditional cooperation in various species may eventually inform us about important questions, such as how many times reciprocity evolved, under which condition it evolved and how it is maintained.

For these reasons, we define reciprocal interactions as “individuals exchanging goods and services that are contingent on each other”, according to Trivers’ original definition (Trivers, 1971). This definition makes no assumptions about the underlying mechanisms. Instead, this definition allows us to investigate different mechanisms enabling individuals to reciprocate (please see our glossary in the Online Supplementary Material, S1, for different forms of reciprocity). Importantly, different lines of research have focussed on different aspects of reciprocity, which have not yet been aligned, although they can greatly inform each other, as we outline below.

One line of research has focussed mostly on describing conditional strategies in the framework of reciprocity (e.g. Axelrod & Hamilton, 1981; Taborsky et al., 2016; West, El Mouden, & Gardner, 2011). A strategy is a behavioural decision rule that is dependent, in the case of reciprocity, on the partner’s behaviour (cf. Bshary & Bergmüller, 2008; Laland, 2004). There are at least three forms of reciprocal strategies if by-products are excluded, like pseudo-reciprocity, i.e. an automated response to help without the possibility of cheating (Connor, 1986). First, in direct reciprocity, individuals help only those that helped them previously, i.e. “I help you because you helped me” (Trivers, 1971). Second, indirect reciprocity relies on public information where individuals help individuals that were observed to be helpful towards others, i.e. “I help you because you helped someone else” (Alexander, 1987). Third, generalised reciprocity is based on a general increase in the motivation to help due to a random experience of help, i.e. “I help you because I was helped by someone” (Boyd & Richerson, 1989). While these behavioural strategies describe useful means that can be tested empirically and theoretically, they give us little insight into how such rules are achieved.

Another line of research has focussed mostly on mechanisms that may enable reciprocity (e.g. Brosnan & de Waal, 2002; Schino & Aureli, 2010b). A mechanism describes the basal cause of a behaviour or a strategy, which can be cognitive in the case of reciprocity (Bateson & Laland, 2013; Tinbergen, 1963). At least four mechanisms have been described, if again by-products are excluded, like symmetry-based reciprocity, i.e. a response based on symmetrical traits rather than experienced help (de Waal & Luttrell, 1988; but see Campennì & Schino, 2016). First, probably the least cognitively demanding form of reciprocity is hard-wired reciprocity (Schino & Aureli, 2017). This is a fixed response to provide help immediately upon the receipt of help. It is most likely confined to distinct settings that do not involve a time delay, partner choice or the flexible use of different commodities. Thus, this mechanism is different from all other mechanisms that are flexible and require some form of encoding and processing information. Second, attitudinal reciprocity requires a cognitive decision with a minimum of information. Here an attitude, i.e. a tag based on the last encounter, is associated with a cooperation partner (Brosnan & de Waal, 2002; de Waal & Brosnan, 2006). This mechanism does not require the memory of the exact levels of help. Instead a general tag, such as “the partner was nice” is sufficient. An important feature of attitudinal reciprocity is that received help will be reciprocated in the next cooperative situation, i.e. short-term reciprocity (Jaeggi, de Groot, Stevens, & van Schaik, 2013). Third, emotion-based reciprocity acts on longer time spans. For that, individuals help selectively those partners with which they associate positive emotions, for example when being socially bonded (Schino & Aureli, 2009). Because emotional bonds develop as a consequence of help received, the donated help is likely to be returned. This mechanism leads to balanced relationships in which given and received favours are correlated over long time frames, i.e. long-term reciprocity. Finally, calculated reciprocity is probably the most cognitively demanding mechanism because individuals calculate how much they need to help another individual based on the memory of the amount of help received by this individual (Brosnan & de Waal, 2002; de Waal & Brosnan, 2006). Similar to attitudinal reciprocity, calculated reciprocity leads to short-term reciprocity in which provided help is dependent on previously received help.

These different forms of reciprocity illustrate that there is probably not ‘one form’ of reciprocity (Table 1; see also the glossary Online Supplementary Material, S1). Yet, many studies did not differentiate between them; consequently, we thus lack knowledge on the use of different strategies and mechanisms in many species.

Table 1 Overview of different reciprocity types

Three textbook examples of reciprocity

Next, we examine evidence of different forms of reciprocity in the light of their behavioural strategies and cognitive mechanisms in three textbook examples, i.e. Norway rats, common vampire bats and brown capuchin monkeys (summarised in the Online Supplemental Material, Table S2). We chose these examples as they provide the most comprehensive data sets of reciprocity in comparison to other species. At the same time, these studies have also attracted criticism and doubts have been raised whether the species’ ability to reciprocate might be accounted by alternative explanations (e.g. Davies, Krebs, & West, 2012; McAuliffe & Thornton, 2015; Paolucci, Conte, & Di Tosto, 2006; Stevens & Hauser, 2005; Zentall, 2015). In recent years, however, initial findings in these species have been validated, refined and extended by using various paradigms and by testing the raised concerns (see below). Thereby, these three species have become the best investigated study systems of reciprocity to date. Therefore, we think they provide a useful starting point of investigating the evolutionary and psychological origins of reciprocity.

Norway rat

Wild Norway rats live in large multi-female, multi-male colonies, which may be composed of more than 150 individuals (Davis, 1953). They frequently interact with related and unrelated colony members and form dominance hierarchies (Calhoun, 1979). They engage in various social behaviours like alarm calls, food sharing, huddling, social grooming and social play (reviewed in Schweinfurth, under review).

Norway rats have been repeatedly shown to reciprocate help in different paradigms (reviewed in Schweinfurth in press). The most commonly used paradigm is the food-exchange setup. Here one rat, i.e. the cooperating partner, provides food via a movable platform to the focal rat (cf. Rutte & Taborsky, 2007). After a delay of up to six days, the roles are exchanged and the focal rat can provide food to its previous partner (e.g. Stieger, Schweinfurth, & Taborsky, 2017). To ensure that food donations by the focal rats are based on the previous help by a partner, focal rats are always also tested with a defecting partner that did not provide food to them. Several controls have been conducted to ensure that, for instance, differential food intake, activity, copying, or other factors cannot explain their helping levels (for a discussion, see Dolivo, Rutte, & Taborsky, 2016; Schweinfurth & Taborsky, 2018b).

Rats help each other reciprocally according to at least two behavioural strategies. First, they help each other according to direct reciprocity. Female and male rats donate food to others reciprocally by providing more food to cooperating than defecting partners (Li & Wood, 2017; Rutte & Taborsky, 2008; Schneeberger, Dietz, & Taborsky, 2012; Schweinfurth, Aeschbacher, Santi, & Taborsky, 2019; Schweinfurth & Taborsky, 2016, 2017, 2018c; Simones, 2007; Viana, Gordo, Sucena, & Moita, 2010). In addition, female rats apply direct reciprocity when grooming each other (Schweinfurth, Stieger, & Taborsky, 2017). Such reciprocal allogrooming has significant fitness benefits, as reciprocal groomers live longer and suffer less mammary tumours in the lab (Yee, Cavigelli, Delgado, & McClintock, 2008). Finally, female rats also exchange allogrooming for food and vice versa (Schweinfurth & Taborsky, 2018b; Stieger et al., 2017). Besides direct reciprocity, female, but not male, rats engage in generalised reciprocity (Rutte & Taborsky, 2007, 2008; Schweinfurth et al., 2019). In a direct comparison, however, female rats donate over 20% more food to a partner with whom they have interacted, showing that direct reciprocity generates higher levels of cooperation than generalised reciprocity (Rutte & Taborsky, 2008).

What is the mechanism underlying reciprocity in Norway rats? First, hard-wired reciprocity cannot explain reciprocity among Norway rats because they tailor their help to the partner’s helping quality (Dolivo & Taborsky, 2015) and the partner’s need (Márquez, Rennie, Costa, & Moita, 2015; Schneeberger et al., 2012; Schneeberger, Röder, & Taborsky, submitted; Schweinfurth & Taborsky, 2018a). Furthermore, rats reciprocate help by using different actions (Schweinfurth & Taborsky, 2017) and different commodities (Schweinfurth & Taborsky, 2018b; Stieger et al., 2017), making a fixed response unlikely. Second, emotion-based reciprocity is also unlikely to explain reciprocity in Norway rats. They seem not to form social bonds even after being housed together for more than one and a half years (Schweinfurth, Neuenschwander, et al., 2017). They do not accumulate social information with their partners, but rather use the last experience (Schweinfurth & Taborsky, under review; Stieger et al., 2017). Third, there is no evidence for calculated reciprocity either. The amounts of received and immediate given help are not matched in male and female rats (Schweinfurth et al., 2019; Schweinfurth & Taborsky, under review). This is in line with their numerical ability being limited to six items, which is below the amount of grooming bouts they are known to reciprocate (cf. Davis & Bradford, 1986; Schweinfurth, Stieger, et al., 2017).

Reciprocity in Norway rats is probably best explained by attitudinal reciprocity (reviewed in Schweinfurth, in press). Rats form attitudes that are based on the last encounter with a partner (Schweinfurth & Taborsky, under review). Importantly, using the last encounters for reciprocity is not a result of memory interference as rats have been shown to memorise several partners (Kettler, Schweinfurth, & Taborsky, under review), several food preferences (Galef, Lee, & Whiskin, 2005) and several unique events (Panoz-Brown et al., 2016) despite a long time delay with potentially disruptive experiences. Importantly, attitudes are linked to received cooperation and not just the product of ‘feeling good’, as a study showed in which rats refused to reciprocate food donations that they received in the presence of, but not by, another rat (Schmid, Schneeberger, & Taborsky, 2017). Attitudes can be generalised to other partners because female rats show not only direct but also generalised reciprocity (Rutte & Taborsky, 2008). In addition, attitudes are not binary responses, like a cooperator or defector tag, but can be modulated by different values of help. For instance, rats groom a partner more often that has provided food to them than vice versa, suggesting that one food item is valued more than one allogrooming bout (Schweinfurth & Taborsky, 2018b). In addition, rats are more likely to provide oat flakes to a partner that provided them with banana pieces, i.e. highly preferred food, than with carrot pieces, i.e. less preferred food (Dolivo & Taborsky, 2015).

Common vampire bat

Vampire bats, which include three species, feed exclusively on the blood of other mammals (Dalquest, 1955). Common vampire bats live in small groups of eight to twelve individuals (Wilkinson, 1984). Such groups roost together in large colonies, ranging from a few individuals to over 2,000, whereby females often move between different roosts (Wilkinson, 1988). Groups usually consist of one male and its female harem or male bachelor groups (Wilkinson, 1985b, 1985a). Vampire bats are the only bats that regurgitate food to donate it to others (Carter & Wilkinson, 2013a). Besides food donations, vampire bats show high levels of allogrooming compared to other bats (Carter & Leffer, 2015). In addition, they adopt and nurse offspring of other colony members (Carter & Wilkinson, 2013a; Wilkinson, Carter, Bohn, & Adams, 2016).

Common vampire bats regurgitate blood to donate it to others. Early studies used numerous observations of these bats in their natural habitat and found that given and received help is correlated and reciprocated (Denault & McFarlane, 1995; Wilkinson, 1984). Recently, these findings have been replicated (Carter & Wilkinson, 2013c) and extended by several controlled experiments with captive bats (reviewed in Carter & Wilkinson, 2013b). In several experiments, individual focal bats were removed from their colony and fasted for one day. After the hungry focal individual was returned to its group, all food donations to this individual were recorded. The focal individuals received blood mostly from partners, which they had provided food before (Carter & Wilkinson, 2013c).

They mainly donate blood with conspecifics with which they roost together frequently but that do not necessarily belong to their group (Carter & Wilkinson, 2013b). Food donations are more common between females, which form stable social bonds, but males have also been shown to regurgitate blood for others in the laboratory (Carter & Wilkinson, 2013b). Such donations are highly valuable to recipients because vampire bats die within two to three days without a blood meal (Freitas, Welker, Millan, & Pinheiro, 2003; McNab, 1973). They reciprocate blood with both kin and non-kin, whereby donations are better explained by reciprocity than by relatedness (Carter & Wilkinson, 2013c). Extending the network to non-kin has been shown to be beneficial for the bats because when their main association partner was temporarily removed, those that had more associations with unrelated roost mates received more food donations (Carter, Farine, & Wilkinson, 2017; Carter & Wilkinson, 2015b). Besides exchanging blood, the bats also exchange allogrooming for food according to direct reciprocity (Carter & Wilkinson, 2013c; Wilkinson, 1986). In contrast, they seem not to use generalised reciprocity (Carter & Wilkinson, 2013c).

What is the mechanism underlying reciprocity in common vampire bats? First, hard-wired reciprocity cannot explain reciprocity since the bats exchange different services, like allogrooming with food (Carter & Wilkinson, 2013c). In addition, reciprocity is limited to few closely bonded individuals (Carter et al., 2017), which makes automatic responses to received help unlikely. Second, attitudes based on recent encounters seem to be unable to generate reciprocity because reciprocity can only be detected over long time frames or when socially bonded bats are observed in captivity (reviewed in Carter & Wilkinson, 2013b; Wilkinson et al., 2016). Third, calculated reciprocity is an unlikely explanation for their reciprocity. Like Norway rats, common vampire bats do not match the actual amount of received and given help (Carter & Wilkinson, 2013c), which makes reciprocity based on calculations unlikely. However, little is known about their cognitive capabilities that could elucidate the underlying cognitive processes that they use (for the only studies of examining cognitive skills, see Ratcliffe, Fenton, & Galef, 2003; Vrtilek, Carter, Patriquin, Page, & Ratcliffe, 2018).

Reciprocity in vampire bats is probably best explained by emotion-based reciprocity. Rather than considering the last encounters as Norway rats do, the bats reciprocate help over long time spans (see above). They form enduring social bonds with kin and non-kin, which can last over more than ten years (Carter et al., 2017; Carter & Wilkinson, 2013c, 2015b; Wilkinson, 1985b, 1985a, 1986). Importantly, their food-sharing network closely mirrors their social-bonding network (Carter & Wilkinson, 2013c). This suggests that social bonds play a crucial role in their decisions to help conspecifics. In line with this, the amounts of donated blood and grooming are linked to oxytocin levels, which suggests an emotional component in the decision to reciprocate (Carter & Wilkinson, 2015a).

Brown capuchin monkey

Brown capuchin monkeys, also called tufted or black-capped capuchin monkeys, live in colonies of up to 30 individuals (Carosi, Linn, & Visalberghi, 2005). They show a distinct linear hierarchy in both sexes (Janson, 1985). Further, their breeding system can be described as either one-male, multi-female or multi-male, multi-female (Carosi et al., 2005). These monkeys show various social behaviours, such as alarm calls, collaborative hunting, food sharing, social grooming and social play (Fragaszy, Visalberghi, & Fegan, 2009; Izawa, 1980).

Brown capuchin monkeys are probably the best-known example for reciprocity. Reciprocity has been demonstrated repeatedly by using various methods under controlled captive conditions. For instance, they donate food to others by handing over or dropping food close to a partner in an adjacent compartment, who will return the favour in the same way (de Waal, 2000; see de Waal, 1997, for a detailed ethogram of the donations). To ensure that food donations are a product of received help and partner directed, several control conditions have been conducted with partners of differing relationship quality or partners being absent (reviewed in de Waal & Brosnan, 2006). In addition to these active and passive food transfers, the monkeys also reciprocate food donations by using various less intuitive testing apparatuses, i.e. bar pulling, joysticks, lever boxes and token exchanges (Hattori, Kuroshima, & Fujita, 2005; Mendres & de Waal, 2000; Parrish, Brosnan, & Beran, 2015; Suchak & de Waal, 2012).

All the tests described above investigated direct reciprocity. In addition, capuchin monkeys show generalised reciprocity (Leimgruber et al., 2014). As far as we are aware, there has been no published report of indirect reciprocity in brown capuchin monkeys. However, they pay attention to third-party interactions and are inclined to accept exchange offers from humans that were observed to frequently reject such exchange requests from other monkeys (Anderson, Kuroshima, Takimoto, & Fujita, 2013). This might suggest indirect reciprocity, but further studies are needed that directly test this possibility.

What is the mechanism underlying reciprocity in brown capuchin monkeys? In contrast to Norway rats and common vampire bats, the mechanism of reciprocity among these monkeys is less obvious. The only mechanism that can be almost certainly excluded is hard-wired reciprocity. When the monkeys help each other, they consider the quality of received help (de Waal, 2000) and the quality of their relationship (Sabbatini, De Bortoli Vizioli, Visalberghi, & Schino, 2012). This makes a fixed response unlikely. Furthermore, calculated reciprocity seems unlikely but possible because two studies found that the amount of received and given help was correlated, which suggests memory and score keeping of previous helpful events to some degree (e.g. de Waal, 1997, 2000). In fact, capuchin monkeys have been shown to add items to a pool of non-visible items, suggesting that they can keep track of multiple food donations, which is needed for calculations (Beran, Evans, Leidghty, Harris, & Rice, 2008). However, not all studies found such a correlation between received and given help (Brosnan, Freeman, & de Waal, 2006; Sabbatini et al., 2012; Suchak & de Waal, 2012). Finally, studies set out to test for calculated reciprocity found no evidence (Amici et al., 2014; Pelé et al., 2010). It should be noted, however, that the monkeys in these studies did not pass the task-understanding condition. Therefore, additional studies on calculated reciprocity are needed.

There is less ambiguous evidence for the two remaining mechanisms underlying reciprocity. There is good evidence for attitudinal reciprocity (reviewed in Brosnan & de Waal, 2002; de Waal & Brosnan, 2006). In contrast to common vampire bats and in accordance with Norway rats, brown capuchin monkeys show short-term reciprocity (see above). Furthermore, they reciprocate help with familiar and unfamiliar partners (Suchak & de Waal, 2012), which suggests short-term attitudes rather than long-term bonds being the reason to help. However, there is also good evidence for emotion-based reciprocity. In a direct comparison, the monkeys were more likely to allow access to their food to a socially bonded individual than to an individual that provided food to them before (Sabbatini et al., 2012). This study suggests that the monkeys probably cooperate over long time frames and an emotional bond can become more important that attitudinal reciprocity in a partner choice situation. This is in line with observations from the wild that showed evidence for long-term reciprocity (di Bitetti, 1997; Izawa, 1980; Schino, di Giuseppe, & Visalberghi, 2009a; Schino, Di Giuseppe, & Visalberghi, 2009b; Tiddi, Aureli, Polizzi di Sorrentino, Janson, & Schino, 2011; Tiddi, Aureli, & Schino, 2012).

Hence, reciprocity in brown capuchin monkeys is probably a result of attitudinal reciprocity and emotion-based reciprocity. While attitudinal reciprocity cannot explain the selective helping of bonded individuals, emotion-based reciprocity cannot explain the repeatedly observed short-term reciprocity. Still, the results must not be contradictory, and both may explain some aspects of cooperation in these monkeys. For instance, Sabbatini et al. (2012) found that the same monkeys show short-term reciprocity in dyads, but long-term reciprocity in trios. This is an interesting finding because it suggests that individuals can possess multiple mechanisms to achieve reciprocity. The same may apply to other species, although this has not been studied extensively other than in humans.

Humans use different mechanisms to achieve different forms of reciprocity. People employ a calculated reciprocity approach with unfamiliar (Andreoni & Miller, 1993; Gachter & Falk, 2002) or business partners (Anderson, Hakansson, & Johanson, 1994; Steidlmeier, 1999). If, however, it gets difficult to memorise several events with a partner, people focus on the attitude towards partners based on the last encounter (Milinski & Wedekind, 1998). In contrast, we rarely use short-term reciprocity when interacting with friends; instead, we rely on emotional bonds based on long-term reciprocity (reviewed in Massen, Sterck, & de Vos, 2010; Silk, 2003). Overall, we help friends more than strangers (Gächter, Kessler, & Königstein, 2011) because we trust them (Buchan, Croson, & Dawes, 2002; Majolo et al., 2013) and expect them to return favours (Deutsch, 1975; Walker, 1995). Interestingly, donations towards strangers can be increased by applying oxytocin, which is associated with emotional bonds (Zak, Stanton, & Ahmadi, 2007). In addition, the more often strangers interact, the more trust is built up and the more they are treated like friends (Gächter et al., 2011). This suggests that we use multiple mechanisms that can transform into each other rather than being static.

Psychological processes of reciprocity

We have shown above that different species show different strategies that are enabled by different mechanisms. The psychological processes of calculated reciprocity have been discussed at length (e.g. Hauser, McAuliffe, & Blake, 2009; Ramseyer, Pelé, Dufour, Chauvin, & Thierry, 2006; Russell & Wright, 2009; Sánchez-Amaro & Amici, 2015; Stevens, Cushman, & Hauser, 2005; Stevens & Gilby, 2004; Stevens & Hauser, 2004, 2005). Stevens and colleagues (2004, 2005) identified numerous possible cognitive challenges involved in reciprocity in order to direct the right amount of help to the correct partner. These challenges may include cheater detection, cheater punishment, cost-benefit computations, inhibitory control, individual recognition, memory capacity, memory decay, memory interference, numerical quantification, reputation recollection, temporal discounting, theory of mind and time estimation. In contrast, the psychological processes of other mechanisms have received uneven attention, even though several authors have pointed out that reciprocity is not necessarily cognitively demanding (e.g. Brosnan & de Waal, 2002; Schino & Aureli, 2009). In fact the overemphasis on calculated reciprocity is probably the reason why it is commonly assumed that reciprocity requires high cognitive demands and thus is unlikely to occur in non-human animals (see also Schino & Aureli, 2010a). Although this is the case of calculated reciprocity, it does not apply to reciprocity in general. Furthermore, different mechanisms have been largely neglected in studies investigating different strategies and vice versa, which is unfortunate because they can greatly complement and inform each other. Hence in this part, we aim to integrate the different approaches in one framework and highlight the psychological processes underlying different reciprocity forms (summarised in Table 2). To understand the psychological processes of reciprocal decisions, it is important to note that the most basal components of such decisions are memory, i.e. the encoding and retrieving of information, and operations, i.e. processing the information to provide help.

Table 2 Psychological processes associated with different reciprocity types

Memory

If receiving and giving help takes place at the same time, e.g. simultaneous exchanges (MacDonald, Stewart, Stopka, & Yamaguchi, 2000), or is a result of each other, e.g. immediate exchanges (Kiers et al., 2011), no information needs to be stored and memory is not essential. This is, for instance, the case for hard-wired reciprocity and shows that memory is not a prerequisite for reciprocity per se. In contrast, if there is a delay between received and given help, memory is involved. All reciprocity forms besides hard-wired reciprocity, are likely to involve a time delay and thus require some form of memory. The longer the delay, the longer information needs to be stored and the more likely such information is modified or forgotten (Lind, Enquist, & Ghirlanda, 2015).

Memory has been suggested to constrain reciprocity in many species (reviewed in Stevens et al., 2005; Stevens & Hauser, 2004). For instance, the capacity to memorise several partners and their cooperativeness over long intervals can be a cognitive burden (Stevens, Volstorf, Schooler, & Rieskamp, 2011). Indeed, in a calculated reciprocity system, many details of several encounters need to be associated to specific individuals in order to make an informed decision to help. Such information is likely subject to memory decay due to delay or distractions (e.g. Milinski & Wedekind, 1998). In addition, interference, i.e. new information interferes with older information, must be reduced.

In contrast to calculated reciprocity, attitudinal reciprocity is tightly linked to this interference effect. Here, information is always replaced by newer information, or in other words, the most recent encounter is memorised better than previous encounters, i.e. recency effect (Raffel, 1936). Attitudes can be acquired by classical conditioning. If an individual helps a partner that reciprocates help, this partner might be encoded as a conditioned stimulus because it provides rewarding help. It is currently unclear how many partners in association with the respective attitude can be remembered. For example, pigeons (Columba livia) have been shown to memorise 800–1,200 associations, while baboons (Papio papio) could memorise at least 3,500–5,000 associations after intensive and extended training (Fagot & Cook, 2006). These results suggest that attitudinal reciprocity, which relies on simple associations between a partner and an attitude, might lie within the cognitive skillset of many animals even if several partners need to be encoded. Potentially, both calculated and attitudinal reciprocity might require even fewer memory demands when interactions require only the memory of the level of cooperation (generalised reciprocity), instead of the partner’s identity associated with their level of cooperation (direct and indirect reciprocity).

Furthermore, in emotion-based reciprocity, memory demands are even less likely to constrain reciprocity. First, the amount of information that needs to be stored about specific cooperation events can be drastically reduced, if individuals base their decisions on emotions associated with a partner because no information about specific encounters is needed (Schino & Aureli, 2017). In fact, the emotional bond with a partner might become an incentive cue. Bonds are based on repeated cooperation and thus individuals might associate received help with the bond strength. Eventually, helping closely bonded partners might be perceived as more rewarding than helping loosely bonded partners, which is a similar effect to food tasting better when hungry, i.e. incentive learning (reviewed in Berridge, 2001). Second, emotions have been shown to enhance memory (Dolan, 2002; Kensinger, 2004). For example, chimpanzees (Pan troglodytes) are better at remembering pictures that show emotional scenes, such as fighting, compared to neutral scenes, such as resting (Kano, Tanaka, & Tomonaga, 2008). In addition, American crows (Corvus brachyrhynchos) can remember dangerous people after a single fearful encounter for more than two and a half years (Marzluff, Walls, Cornell, Withey, & Craig, 2010). Finally, common ravens (Corvus corax) distinguish non-affiliated from affiliated conspecifics, with which they have had a positive emotional bond, even after 3 years of separation (Boeckle & Bugnyar, 2012). There have been some pioneering studies investigating the interplay of cooperation and emotions. For instance, chimpanzees that receive allogrooming or food show an increase in urinary oxytocin (Crockford et al., 2013; Wittig et al., 2014). Oxytocin is a hormone that has been frequently linked to positive emotions and increases generosity and reciprocity also in humans (Kosfeld, Heinrichs, Zak, Fischbacher, & Fehr, 2005; Zak et al., 2007). Recent findings suggest, however, that the increase in cooperativeness due to oxytocin may depend on the individual’s baseline levels and social contexts (Bartz, Zaki, Bolger, & Ochsner, 2011; Crockford, Deschner, Ziegler, & Wittig, 2014; Romero, Onishi, & Hasegawa, 2016). Still, if help is associated with emotions, the memory of such encounters might be enhanced. This may explain why many species can reciprocate help over extended periods of time without memory constraints (Freidin et al., 2017; Jaeggi et al., 2013). It may also explain why common ravens, for instance, are capable of remembering short prosocial encounters with humans for more than a month (Müller, Massen, Bugnyar, & Osvath, 2017). In addition to emotions, other factors are known to increase or decrease memory, which we discuss below.

Memory and distinctiveness

Helpful acts may be easier to memorise when they involve emotional (see above), dramatic, rare or surprising situations rather than routine situations. For example, we are better able to recall the dinner menu we had last year in an exquisite restaurant compared to what we cooked one week ago. Likewise, individuals may better remember that they received support in a rare fight than hearing yet another alarm call.

To the best of our knowledge, distinctiveness has not yet been investigated in helping tasks, albeit evidence has been demonstrated in other tasks. Pigeons, for instance, are less likely to learn stimuli that are similar to each other and forget them more quickly compared to distinctively different stimuli (Kraemer, 1984). Similarly, apes and Norway rats memorise more easily distinct compared to indistinct stimuli (e.g. Beran, 2011; Lewis, Call, & Berntsen, 2017; Reed & Richards, 1996).

Distinctiveness of encounters is likely to be of great importance for reciprocity forms that depend on exact information of last encounters, such as calculated and attitudinal reciprocity. In contrast emotion-based reciprocity is not dependent on single encounters and therefore, distinctiveness is less likely to be a pre-requisite of this form. Rather, several cooperative events are accumulated into an emotional score on which the decision to help is based. Such encounters may involve customary activities, such as allogrooming, that strengthen the social bond (cf. Henzi & Barrett, 1999). Likewise, distinctiveness is probably of greater importance to direct and indirect reciprocity as more information needs to be memorised in comparison to generalised reciprocity.

Memory and level of details

The level of details required for helping decisions may influence reciprocity. The more details are needed to make an informed decision to help others (e.g. who, what, when, to whom, when and how much/how often), the more information needs to be stored, which is likely to be constrained by memory capacity decay and interference. Furthermore, the more details need to be encoded, the more likely episodic memory is involved (Baddeley, 2001; Crystal, 2010; Tulving, 1972). This is a special form of memory that has been extensively studied in jays and rats and suggested only for few other species (Dere, Kart-Teke, Huston, & De Souza Silva, 2006). Rats might use episodic memory when reciprocating help (cf. Crystal, 2018). Rats can remember several partners over at least 4 days and remember the specific cooperating experience in combination with the partner’s identity (Kettler, Schweinfurth, & Taborsky, under review). However, future studies are needed to investigate the role of episodic memory in reciprocity among Norway rats.

As discussed in the previous sections, only calculated reciprocity relies on complex details of cooperative events and thus seems to require episodic memory. In attitudinal and emotion-based reciprocity, it seems more likely that help is encoded in scenes. Memory of such scenes requires a minimum of details of one or several events and no mental time travel (Rubin & Umanath, 2015). This form of memory has been shown to be involved in decisions of apes and zebra finches (Taeniopygia guttata) (Larose & Dubois, 2011; Lewis et al., 2017). The details of scenes can be further reduced to a simple association between an individual and a rewarding act, cooperation, which is needed for direct and indirect reciprocity. Here, only the valence of an encounter or a partner, i.e. more or less positive, is encoded. Almost all species studied have been shown to learn such associations (Olmstead & Kuhlmeier, 2015a) and thus may qualify for some forms of reciprocity. Probably the most extreme example that illustrates how few memorised details can lead to reciprocity is when attitudinal reciprocity underlies generalised reciprocity. In this situation, the partner’s identity is unimportant and decisions to help can be solely based on the valence of the most recent encounter.

Memory and network size

Reciprocity is dependent on the network size (Hizak, Dmitrovic, & Cubrilo, 2018). While it seems easy to remember what one partner did over a given period, keeping track of several partners seems more challenging. Indeed in lab experiments, people show an increasing error rate, the more partners need to be remembered, leading to an error rate of over 20% when trying to keep track of only ten partners over several rounds (Stevens et al., 2011). This is an important finding, given that theoretical models demonstrated that reciprocity is unlikely to evolve, if individuals show error rates of only 2% in small groups of four individuals (Bowles & Gintis, 2011, pp. 65-66).

At the same time, these findings suggest that either memory for several partners can be increased or that reciprocity can be explained by mechanisms other than calculated reciprocity. Otherwise, we could not explain why reciprocity evolved in humans because early hominid hunter-gatherer groups already encompassed more than 30 people (Marlowe, 2005). In addition, contemporary humans have a social network size of around 150 individuals (Hill & Dunbar, 2003), which would make reciprocity basically impossible according to the above described estimations. There are at least three possibilities that may enable reciprocity in large groups.

First, memory demands can be lowered to allow cooperation with several partners (reviewed in Moreira et al., 2013). For example, humans in such lab-based games develop alternative strategies, where they only remember rare or distinct partners, for example remembering the only cheater in a pool of cooperators (Volstorf, Rieskamp, & Stevens, 2011). Second, instead of memorising exact helping levels, individuals may choose to cooperate with partners that helped them and refuse to interact with partners that did not help them, i.e. partner choice. Importantly, the bigger groups are, the more likely such partner choice evolves (Kurvers, Krause, Croft, Wilson, & Wolf, 2014). This would eventually lead to emotion-based reciprocity, where individuals choose to cooperate with partners with whom they associate positive emotions, which reduces the effective group size. Third, it is also possible that individuals switch between strategies dependent on their network size, i.e. using estimated scores when networks are large (generalised reciprocity) and more exact measurements when networks are small (direct reciprocity).

Most likely individuals memorise different partners using an Object File System (Kahneman, Treisman, & Gibbs, 1992). This cognitive system enables individuals to represent the exact numerical value of up to four entities or encounters. Individuals can represent more than just four entities, here however, the numerical value is approximated, rather than exact, i.e. Analogue Magnitude System (Kahneman et al., 1992). In reciprocal interactions, it is needed to encode several interactions or partners. The exact values of received and given help are not needed in emotion-based and attitudinal reciprocity, which can enable reciprocity with more than four partners. Hard-wired reciprocity, in contrast, most likely applies only to dyadic encounters. Given that calculated reciprocity requires the most information about recent encounters compared to all other mechanisms of reciprocity, it is most likely confined to fewer partners.

The memory capacity problem increases if individuals engage in indirect reciprocity. For instance, an individual that lives with ten partners needs to remember the behaviour of ten interactions in order to show direct reciprocity. However, to show indirect reciprocity, the individual needs to remember 45 interactions. Thereby, it might be important to encode not only whether the observed individual cooperated or defected, i.e. image strategy (Nowak & Sigmund, 1998), but also whether the interaction partner had cooperated or defected in a previous encounter (Sugden, 1986), resulting in at least 90 interactions. This shows that third-party evaluations can be challenging in terms of memory load and has been suggested to be a driver of brain size in primates (Dunbar, 1992; but see Healy & Rowe, 2007). Still, there is evidence that cleaner fish (Labroides dimidiatus) behave more cooperatively in the presence of bystanders (Pinto, Oates, & Grutter, 2011) and bystanders are more likely to approach cleaner fish with a good image (Bshary & Grutter, 2006). This suggests that large brains are not necessary for indirect reciprocity, which can be achieved by different mechanisms. However, indirect reciprocity is unlikely to be explained by calculated reciprocity, if individuals interact regularly with more than two partners and their decisions are based on interactions that are not distinct, emotional or require the memory of many details.

Processing

In addition to how information is encoded and retrieved, reciprocity is dependent on how such information is processed in order to return favours. There are three systems possible. First, individuals may update old information with new information and thereby base their decisions to help on the most recent encounter. Second, individuals may accumulate received help into an overall score, which is the basis for their decision to help. Third, individuals may calculate and integrate how much a partner has helped them over a given period by adding and subtracting received and given help, in order to help reciprocally. The three systems may be either partner specific, i.e. direct and indirect reciprocity, or partner unspecific, i.e. generalised reciprocity.

Updating or replacing information is an integral part of attitudinal reciprocity and probably the simplest type of processing. Updating information is part of almost all animals’ life whenever new information takes precedence, for example when there is a better mating partner, a new group member, a different predator or a new food patch that has been discovered. Furthermore, many animals need to update information about specific partners as they may change over time by altering their acquired knowledge, hierarchical rank, network size, mating status, partner quality, physical strength, or their cooperation level. Hence, updating information, which is tightly linked to attitudinal reciprocity, lies most likely within the cognitive capabilities of many species.

Probably more demanding is accumulating information into one score. Here, information about a partner needs to be stored and integrated with existing information to produce an estimated score rather than calculating received and given help over multiple encounters. This could be achieved by associating a ‘cooperative’ tag with a partner. The more often the partners helped an individual, the stronger the association becomes without performing any operations on the amount of help, i.e. association model (reviewed in Gallistel & Gibbon, 2001). An accumulation could be also achieved by memorising single events that are accumulated by adding one cooperative event to another, i.e. computational model (reviewed in Gallistel & Gibbon, 2001). Here, individuals may have to potentially add large numbers of received help into a score, which can be demanding. Yet, some species have been shown to add even large numbers into an approximate score (Beran & Beran, 2004), which are most likely represented as approximate magnitudes (Kahneman et al., 1992). For instance, many mammals form social bonds, which are accumulated scores of positive interactions with specific partners (Massen et al., 2010; Seyfarth & Cheney, 2012). This shows that many mammals use partner’s specific scores in their interactions. Therefore, it seems reasonable to assume that at least those species may be capable of emotion-based reciprocity.

Finally, only calculated reciprocity requires computations, which is, however, within the scope of non-human animals. Many animals have been shown to perform at least simple calculations in terms of adding and subtracting (Beran, 2004; Cox & Tamara Montrose, 2016; Olmstead & Kuhlmeier, 2015b; Pepperberg, 2017; Potrich, Sovrano, & Vallortigara, 2015). These examples involve only small quantities of up to four items or encounters, and respective calculations can be explained by an Object File System because it requires exact calculations (Kahneman et al., 1992). It is possible that individuals remember specific episodes and integrate this information, for example 'my partner was cooperative in four episodes'. This integrated information can then be carried forward in a computationally accessible form (reviewed in Gallistel, 2008). This psychological process, which might be similar to path integration and cognitive maps, is likely to require less memory and computational demands as the exact details of past episodes may be forgotten (Lotem & Halpern, 2012). Processing information in order to reciprocate help, including exact calculations and summary integrations, can be influenced by the quantity and quality of encounters, which we discuss below.

Processing and quantity

Decisions to help are dependent on how many encounters with a partner are used to reciprocate. A meta-analysis in non-human primates showed that only a small proportion of received help is paid back immediately (Schino & Aureli, 2016, see also Jaeggi, de Groot, Stevens, & van Schaik, 2013) and studies investigating immediate turn-taking have not yielded evidence for reciprocity (Melis, Grocke, Kalbitz, & Tomasello, 2016; Yamamoto & Tanaka, 2009). This indicates that help is usually reciprocated over long time intervals at least in non-human primates. During such intervals, it is likely that individuals meet the same or different partners repeatedly. Therefore, individuals potentially need to remember several encounters with single partners.

It is unlikely that non-human animals remember the exact details of more than four encounters (Kahneman et al., 1992). Studies on various species showed that individuals can only represent up to four items or encounters, which is operated by the Object File System (reviewed in Beran, Parrish, & Evans, 2015). If more than four encounters need to be memorised, the level of accuracy decreases and details are approximate rather than exact, which is operated by the Analogue Magnitude System. This is why many species can easily distinguish between two and three units, but not between five and seven (reviewed in Olmstead & Kuhlmeier, 2015b).

Only calculated reciprocity requires the exact details of multiple encounters. Consequently, calculated reciprocity might be constrained to four encounters. In contrast to calculated reciprocity, all other forms of reciprocity either update previous encounters with the most recent encounter, i.e. hard- wired and attitudinal, or accumulate positive emotions in an estimated score, i.e. emotion-based reciprocity. Thereby, exact details of received help during multiple encounters become less important or play no role at all. It is yet unclear how many details of encounters are needed to deploy the three behavioural strategies. The only strategies that has been investigated is direct reciprocity, which has been shown to be a stable strategy when one or two encounters with a partner are considered (Axelrod & Hamilton, 1981; Boyd & Lorberbaum, 1987).

Processing and quality

Reciprocal decisions involve information not only about the quantity of help, i.e. providing approximately the same amount of received help (see above), but also about the quality of help, i.e. providing approximately the same value of received help. However, ensuring a balance of received and given help can be challenging, especially if exchanges involve different commodities, such as food for sex. Here, two possibilities are likely. Either animals consider the value of received help or not. In hard-wired reciprocity, commodities are usually fixed and there is no variation in commodities differing in quality. Hence the value is unlikely to influence reciprocity. All other mechanisms are likely to involve the assessment of quality and currency conversions to balance received and given help.

There is evidence that animals can assess and compare items of different values. For instance, brown capuchin monkeys are more likely to trade tokens of lower value with tokens that result in higher value food (Westergaard, Liv, Rocca, Cleveland, & Suomi, 2004). In addition, they protest if they exchange a token with an experimenter that results in a low-value food item, while the same token results in a high-value food item for a conspecific (Brosnan & de Waal, 2003). Furthermore, values may change. Pigeons, for instance, prefer tokens that result in food under food-restricted conditions but change their preference to tokens that result in water under water-restricted conditions. In addition, if given the choice between specialised and generalised tokens, which can be exchanged for multiple purposes, they opt for the latter more flexible option (Defulio, Yankelevitz, Bullock, & Hackenberg, 2014).

In calculated reciprocity, the value of help might be encoded as multiplications, for example food is twice as valuable as allogrooming. Adding value to such calculations increases the challenges associated with this mechanism, especially when individuals meet several times and information of multiple encounters might be confused. In emotion-based and attitudinal reciprocity, the value of help might be encoded in the strength of association, i.e. the more valuable the received help, the stronger the resulting positive association with this partner and the more or the better help will be provided in return. Although many animals show reciprocal exchanges between different services (e.g. Hemelrijk, 1994; Schweinfurth & Taborsky, 2018b; reviewed in Stevens & Gilby, 2004) and respond to help differing in value (Dolivo & Taborsky, 2015), no study of which we are aware has investigated the psychological processes of how animals use the value of help in their decisions to reciprocate.

Predicting the occurrence of reciprocity

So far, the literature has focussed mainly on the psychological processes of calculated reciprocity with the result that reciprocity per se has been considered to be too cognitively demanding for non-human animals (see above). Here, we showed that calculated reciprocity requires a very specific set of cognitive capabilities that indeed only a few species may show. However, there are three other cognitive mechanisms that require less sophisticated skills. We propose that a more inclusive approach might be more fruitful that encompasses all forms of reciprocity and their specific psychological processes. Based on the mechanisms that we listed above, next we make predictions about the circumstances that would favour each reciprocal behavioural strategy and cognitive mechanism.

Calculated reciprocity is the most complex mechanism of reciprocity that also adult humans only rarely use (e.g. Carter, 2014). To date, there has been no convincing evidence of calculated reciprocity in non-human animals besides one orang-utan dyad (Amici et al., 2014; Dufour, Pelé, Neumann, Thierry, & Call, 2009; Pelé et al., 2009). Still, calculated reciprocity can occur, if individuals are able to remember few distinct encounters with few partners, which potentially induce an emotional response. Furthermore, individuals must be able to make computations like adding, subtracting and potentially multiplying units. Because individuals would have to remember many different interactions when applying indirect reciprocity, calculated reciprocity is most likely confined to direct reciprocity. Given that many details of encounters need to be stored, it is most likely that reciprocity is further confined to short time delays between received and given help. It might thus be possible that some species show calculated reciprocity only with unfamiliar partners where calculations are needed because no other additional information about the likelihood to reciprocate is available and calculations are possible because only few encounters have happened. However, the more often an individual meets a partner, the more likely they switch to another mechanism because it becomes difficult to remember several encounters in potentially similar situations. Therefore, an episodic memory might be replaced by a scene memory or the information might be accumulated into a social bonding score. We, therefore, predict that calculated reciprocity may be shown by animals that form social bonds with group members but that are also highly tolerant towards unknown individuals to direct affiliative behaviours to them according to direct reciprocity.

Emotion-based reciprocity requires less cognitive processing compared to computations, and reduced memory demands compared to episodic memory. Emotion-based reciprocity can underlie reciprocity in species that form social bonds, can experience emotions and are able to accumulate information into an estimated approximate score. This mechanism most likely results in direct reciprocity because decisions to help are based on emotions associated to directly experienced partners with which they have a positive social bond.

Attitudinal reciprocity further lowers the cognitive demands. Attitudinal reciprocity can underlie reciprocity, if individuals are able to remember single encounters that are partner specific, i.e. in/direct reciprocity, or unspecific, i.e. generalised reciprocity. In addition, individuals need to update old information with new information. Thereby an estimation, i.e. Analogue Magnitude System, rather than exact information, i.e. Object File System, is most likely sufficient for reciprocity. The memory of recent encounters with several partners may be enhanced but is not constrained to encounters that involve distinct situations, emotional reactions or short time delays. If generalised reciprocity is applied, the memory demands can be further lowered because only a single encounter needs to be remembered. We predict to find this mechanism in species that form groups in which they meet their group members repeatedly.

Hard-wired reciprocity requires no cognition or emotions and may explain reciprocity in gregarious individuals that are unlikely to meet often. Hard-wired reciprocity can underlie reciprocity, if individuals engage in automatic and immediate exchanges with one partner. Whether or not the information of the partner’s identity is integrated in this form of reciprocity is currently unknown and consequently generalised and direct reciprocity strategies may be used.

Conclusions and future directions

It has been stated frequently that reciprocity is too cognitively demanding for non-human animals (Hauser et al., 2009; Ramseyer et al., 2006; Russell & Wright, 2009; Sánchez-Amaro & Amici, 2015; Stevens et al., 2005; Stevens & Gilby, 2004; Stevens & Hauser, 2004, 2005). However, this perception is based on the idea that there is only one form of reciprocity that is achieved by one mechanism, i.e. calculated reciprocity (cf. Carter, 2014; Schino & Aureli, 2010a). However, here we show that reciprocity encompasses at least three different strategies that can be underlain by at least four different mechanisms, that vary dramatically in its psychological processes. This shows that reciprocity is a more diverse phenomenon than currently appreciated and may not be too cognitively demanding for animals other than humans. Hence, some forms of reciprocity lay in the range of many species. We propose that acknowledging this diversity of strategies and mechanisms, which result in individuals exchanging goods and services that are contingent on each other, will inform us about the evolutionary and psychological origins of reciprocity.

Until now most information on different forms of reciprocity have come from a few species. Therefore, a first step would be to investigate different strategies and mechanisms in various species that fulfil the above described social and cognitive requirements. For example, to the best of our knowledge, only one empirical study has provided test subjects with conflicting partner experiences and therefore tested for the potential integration of several encounters (Schweinfurth & Taborsky, submitted). In this study, Norway rats based their decision to help on the last encounter. Given that this is the only study of this type so far, it is currently unclear how other non-human animals encode multiple encounters, which would give insight into the mechanism they are using to reciprocate. The same applies to different strategies. Only few studies have tested whether test subjects help conspecifics according to direct or generalised reciprocity, which cannot be distinguished in dyadic situations (but see: Carter & Wilkinson, 2013c; Gfrerer & Taborsky, 2017; Leimgruber et al., 2014; Majolo, Schino, & Aureli, 2012; Rutte & Taborsky, 2008). Furthermore, by collecting data on various species, we might be able to conduct phylogenetic analyses to test how different forms of reciprocity evolve and whether some might be basal to others (cf. MacLean et al., 2012).

In addition, brown capuchin monkeys and humans apply different reciprocal strategies with different mechanisms enabling them. This shows that species are not constrained to a single mechanism or a single strategy. Still, we understand little about the development of reciprocity, i.e. when individuals use which mechanism to reciprocate help and when they switch from one to another. A possible experiment would be to test partners that are unfamiliar or familiar with each other in a reciprocal paradigm. This would inform us about whether repeated actions are responsible for changing the mechanism of reciprocity. Observing the onset of a relationship would provide additional information on switching points, the developmental sequence of mechanisms and their connection to strategies. Another possible experiment could be to present test subjects with few or many partners in a reciprocal paradigm that involves few or many interactions with these partners. This would shed light on a flexible use of reciprocal strategies, for instance, based on group size.

In sum, reciprocity is not cognitively demanding per se. There are different forms of reciprocity, including different strategies and mechanisms. The psychological processes vary between these forms and we showed that complex calculations are not the only mechanisms through which reciprocity can be achieved. It is time to acknowledge the diversity of reciprocal interactions and aim at understanding their evolutionary and psychological origins.

References

  1. Alexander, R. D. (1987). The biology of moral systems. New York: AldineTransaction.

    Google Scholar 

  2. Amici, F., Aureli, F., Mundry, R., Amaro, A. S., Barroso, A. M., Ferretti, J., & Call, J. (2014). Calculated reciprocity? A comparative test with six primate species. Primates, 55(3), 447–457. doi:https://doi.org/10.1007/s10329-014-0424-4

    Article  PubMed  Google Scholar 

  3. Anderson, J. C., Hakansson, H., & Johanson, J. (1994). Dyadic business relationships within a business network context. Journal of Marketing, 58(4), 1–15. doi:https://doi.org/10.2307/1251912

    Article  Google Scholar 

  4. Anderson, J. R., Kuroshima, H., Takimoto, A., & Fujita, K. (2013). Third-party social evaluations of humans by monkeys. Nature Communications, 4, 1561. doi:https://doi.org/10.1016/j.neubiorev.2017.01.003

    Article  PubMed  Google Scholar 

  5. André, J.-B., & Nolfi, S. (2016). Evolutionary robotics simulations help explain why reciprocity is rare in nature. Scientific Reports, 6, 32785. doi:https://doi.org/10.1038/srep32785

    Article  PubMed  PubMed Central  Google Scholar 

  6. Andreoni, J., & Miller, J. H. (1993). Rational cooperation in the finitely repeated Prisoner's dilemma: experimental evidence. The Economic Journal, 103(418), 570–585.

    Google Scholar 

  7. Axelrod, R., & Hamilton, W. D. (1981). The evolution of cooperation. Science, 211, 1390–1396.

    PubMed  Google Scholar 

  8. Baddeley, A. (2001). The concept of episodic memory. Philosophical Transactions of the Royal Society B: Biological Sciences, 356(1413), 1345–1350. doi:https://doi.org/10.1098/rstb.2001.0957

    Article  Google Scholar 

  9. Bartz, J. A., Zaki, J., Bolger, N., & Ochsner, K. N. (2011). Social effects of oxytocin in humans: context and person matter. Trends in Cognitive Sciences, 15(7), 301–309. doi:https://doi.org/10.1016/j.tics.2011.05.002

    Article  PubMed  Google Scholar 

  10. Bateson, P., & Laland, K. N. (2013). Tinbergen’s four questions: an appreciation and an update. Trends in Ecology and Evolution, 28(12), 712–718. doi:https://doi.org/10.1016/j.tree.2013.09.013

    Article  PubMed  Google Scholar 

  11. Beran, M. J. (2004). Chimpanzees (Pan troglodytes) respond to nonvisible sets after one-by-one addition and removal of items. Journal of Comparative Psychology, 118(1), 25–36. doi:https://doi.org/10.1037/0735-7036.118.1.25

    Article  PubMed  Google Scholar 

  12. Beran, M. J. (2011). Chimpanzees (Pan troglodytes) show the isolation effect during serial list recognition memory tests. Animal Cognition, 14(5), 637–645. doi:https://doi.org/10.1007/s10071-011-0398-1

    Article  PubMed  PubMed Central  Google Scholar 

  13. Beran, M. J., & Beran, M. M. (2004). Chimpanzees remember the results of one-by-one addition of food items to sets over extended time periods. Psychological Science, 15(2), 94–99. doi:https://doi.org/10.1111/j.0963-7214.2004.01502004.x

    Article  PubMed  Google Scholar 

  14. Beran, M. J., Evans, T. A., Leidghty, K. A., Harris, E. H., & Rice, D. (2008). Summation and quantity judgments of sequentially presented sets by capuchin monkeys (Cebus apella). American Journal of Primatology, 70, 191–194. doi:https://doi.org/10.1002/ajp

    Article  PubMed  Google Scholar 

  15. Beran, M. J., Parrish, A. E., & Evans, T. A. (2015). Numerical cognition and quantitative abilities in nonhuman primates. In Mathematical cognition and learning (Vol. 1, pp. 91–119). doi:https://doi.org/10.1016/B978-0-12-420133-0.00004-1

    Google Scholar 

  16. Berridge, K. C. (2001). Reward learning: reinforcement, incentives, and expectations. The Psychology of Learning and Motivation, 40, 223–278.

    Google Scholar 

  17. Boeckle, M., & Bugnyar, T. (2012). Long-term memory for affiliates in ravens. Current Biology, 22(9), 801–806. doi:https://doi.org/10.1016/j.cub.2012.03.023

    Article  PubMed  PubMed Central  Google Scholar 

  18. Bowles, S., & Gintis, H. (2011). A cooperative species - human reciprocity and its evolution. doi:https://doi.org/10.1007/s00712-011-0237-5

    Google Scholar 

  19. Boyd, R., & Lorberbaum, J. P. (1987). No pure strategy is evolutionary stable in the repeated Prisoner’s dilemma game. Nature, 330, 401–404.

    Google Scholar 

  20. Boyd, R., & Richerson, P. J. (1989). The evolution of indirect reciprocity. Social Networks, 11, 213–236.

    Google Scholar 

  21. Brosnan, S. F., & de Waal, F. B. M. (2002). A proximate perspective on reciprocal altruism. Human Nature, 13(1), 129–152.

    PubMed  Google Scholar 

  22. Brosnan, S. F., & de Waal, F. B. M. (2003). Monkeys reject unequal pay. Nature, 425, 297–299. doi:https://doi.org/10.1038/nature01987.1.

    Article  PubMed  Google Scholar 

  23. Brosnan, S. F., Freeman, C., & de Waal, F. B. M. (2006). Partner’s behavior, not reward distribution, determines success in an unequal cooperative task in capuchin monkeys. American Journal of Primatology, 68, 713–724. doi:https://doi.org/10.1002/ajp

    Article  PubMed  Google Scholar 

  24. Brosnan, S. F., Salwiczek, L. H., & Bshary, R. (2010). The interplay of cognition and cooperation. Philosophical Transactions of the Royal Society B: Biological Sciences, 365(1553), 2699–2710. doi:https://doi.org/10.1098/rstb.2010.0154

    Article  Google Scholar 

  25. Bshary, R., & Bergmüller, R. (2008). Distinguishing four fundamental approaches to the evolution of helping. Journal of Evolutionary Biology, 21(2), 405–420. doi:https://doi.org/10.1111/j.1420-9101.2007.01482.x

    Article  PubMed  Google Scholar 

  26. Bshary, R., & Grutter, A. S. (2006). Image scoring and cooperation in a cleaner fish mutualism. Nature, 441(7096), 975–978. doi:https://doi.org/10.1038/nature04755

    Article  PubMed  Google Scholar 

  27. Buchan, N. R., Croson, R. T. A., & Dawes, R. M. (2002). Swift neighbors and persistent strangers: a cross-cultural investigation of trust and reciprocity in social exchange. American Journal of Sociology, 108(1), 168–206. doi:https://doi.org/10.1086/344546

    Article  Google Scholar 

  28. Calhoun, J. B. (1979). The ecology and sociobiology of the Norway rat. Bethesda: U.S. Dept. of Health, Education, and Welfare, Public Health Service.

    Google Scholar 

  29. Campennì, M., & Schino, G. (2016). Symmetry-based reciprocity: evolutionary constraints on a proximate mechanism. PeerJ, 4, e1812. doi:https://doi.org/10.7717/peerj.1812

    Article  PubMed  PubMed Central  Google Scholar 

  30. Carosi, M., Linn, G. S., & Visalberghi, E. (2005). The sexual behavior and breeding system of tufted capuchin monkeys (Cebus apella). Advances in the Study of Behavior, 35(05), 105–149. doi:https://doi.org/10.1016/S0065-3454(05)35003-0

    Article  Google Scholar 

  31. Carter, G. G. (2014). The reciprocity controversy. Animal Behavior and Cognition, 1(3), 368–386. doi:https://doi.org/10.12966/abc.08.11.2014

    Article  Google Scholar 

  32. Carter, G. G., Farine, D. R., & Wilkinson, G. S. (2017). Social bet-hedging in vampire bats. Biology Letters, 13(5), 20170112. doi:https://doi.org/10.1098/rsbl.2017.0112

    Article  PubMed  PubMed Central  Google Scholar 

  33. Carter, G. G., & Leffer, L. (2015). Social grooming in bats: are vampire bats exceptional? PLoS ONE, 10(10), 1–11. doi:https://doi.org/10.1371/journal.pone.0138430

    Article  Google Scholar 

  34. Carter, G. G., & Wilkinson, G. S. (2013a). Cooperation and conflict in the social lives of bats. In R. A. Adams & S. C. Pedersen (Eds.), Bat Evolution, Ecology, and Conservation (pp. 225–242). doi:https://doi.org/10.1007/978-1-4614-7397-8

    Google Scholar 

  35. Carter, G. G., & Wilkinson, G. S. (2013b). Does food sharing in vampire bats demonstrate reciprocity? Communicative and Integrative Biology, 6(6), 25783. doi:https://doi.org/10.4161/cib.25783

    Article  Google Scholar 

  36. Carter, G. G., & Wilkinson, G. S. (2013c). Food sharing in vampire bats: reciprocal help predicts donations more than relatedness or harassment. Proceedings of the Royal Society B: Biological Sciences, 280, 20122573.

    PubMed  Google Scholar 

  37. Carter, G. G., & Wilkinson, G. S. (2015a). Intranasal oxytocin increases social grooming and food sharing in the common vampire bat Desmodus rotundus. Hormones and Behavior, 75, 150–153. doi:https://doi.org/10.1016/j.yhbeh.2015.10.006

    Article  PubMed  Google Scholar 

  38. Carter, G. G., & Wilkinson, G. S. (2015b). Social benefits of non-kin food sharing by female vampire bats. Proceedings of the Royal Society B: Biological Sciences, 282, 20152524. doi:https://doi.org/10.1098/rspb.2015.2524

    Article  PubMed  Google Scholar 

  39. Clements, K. C., & Stephens, D. W. (1995). Testing models of non-kin cooperation: mutualism and the Prisoner’s dilemma. Animal Behaviour, 50(2), 527–535. doi:https://doi.org/10.1006/anbe.1995.0267

    Article  Google Scholar 

  40. Clutton-Brock, T. (2009). Cooperation between non-kin in animal societies. Nature, 462(7269), 51–57. doi:https://doi.org/10.1038/nature08366

    Article  PubMed  Google Scholar 

  41. Connor, R. C. (1986). Pseudo-reciprocity: investing in mutualism. Animal Behavior, 34, 1562–1584.

    Google Scholar 

  42. Connor, R. C. (2010). Cooperation beyond the dyad: on simple models and a complex society. Philosophical Transactions of the Royal Society B: Biological Sciences, 365(1553), 2687–2697. doi:https://doi.org/10.1098/rstb.2010.0150

    Article  Google Scholar 

  43. Cox, L., & Tamara Montrose, V. (2016). Quantity discrimination in domestic rats, Rattus norvegicus. Animals, 6, 46. doi:https://doi.org/10.3390/ani6080046

    Article  Google Scholar 

  44. Crespi, B. (2001). The evolution of social behavior in microorganisms. Trends in Ecology and Evolution, 16(4), 178–183. doi:https://doi.org/10.1016/S0169-5347(01)02115-2

    Article  PubMed  Google Scholar 

  45. Crockford, C., Deschner, T., Ziegler, T. E., & Wittig, R. M. (2014). Endogenous peripheral oxytocin measures can give insight into the dynamics of social relationships: a review. Frontiers in Behavioral Neuroscience, 8, 68.

    PubMed  PubMed Central  Google Scholar 

  46. Crockford, C., Wittig, R. M., Langergraber, K. E., Ziegler, T., Zuberbühler, K., & Deschner, T. (2013). Urinary oxytocin and social bonding in related and unrelated wild chimpanzees. Proceedings of the Royal Society B: Biological Sciences, 280, 20122765.

    PubMed  Google Scholar 

  47. Crystal, J. D. (2010). Episodic-like memory in animals. Behavioural Brain Research, 215(2), 235–243. doi:https://doi.org/10.1016/j.bbr.2010.03.005

    Article  PubMed  PubMed Central  Google Scholar 

  48. Crystal, J. D. (2018). Comparative cognition: rats pay back quid pro quo. Current Biology, 28(4), R153–R155. doi:https://doi.org/10.1016/j.cub.2018.01.030

    Article  PubMed  Google Scholar 

  49. Dalquest, W. W. (1955). Natural history of the vampire bats of Eastern Mexico. The American Midland Naturalist, 53(1), 79–87.

    Google Scholar 

  50. Darwin, C. (1859). On the origins of species. London: John Murray.

    Google Scholar 

  51. Davies, N. B., Krebs, J. R., & West, S. A. (2012). An introduction to behavioural ecology. doi:https://doi.org/10.1037/026600

    Google Scholar 

  52. Davis, D. E. (1953). The characteristics of rat populations. The Quarterly Review of Biology, 28(4), 373–401. doi:https://doi.org/10.1086/516403

    Article  PubMed  Google Scholar 

  53. Davis, H., & Bradford, S. A. (1986). Counting behavior by rats in a simulated natural environment. Ethology, 73(4), 265–280. doi:https://doi.org/10.1111/j.1439-0310.1986.tb00809.x

    Article  Google Scholar 

  54. de Waal, F. B. M. (1997). Food transfers through mesh in brown capuchins. Journal of Comparative Psychology, 111(4), 370–378. doi:https://doi.org/10.1037//0735-7036.111.4.370

    Article  PubMed  Google Scholar 

  55. de Waal, F. B. M. (2000). Attitudinal reciprocity in food sharing among brown capuchin monkeys. Animal Behaviour, 60(2), 253–261. doi:https://doi.org/10.1006/anbe.2000.1471

    Article  PubMed  Google Scholar 

  56. de Waal, F. B. M., & Brosnan, S. F. (2006). Simple and complex reciprocity in primates. In P. M. Kappeler & C. P. van Schaik (Eds.), Cooperation in primates and humans mechanisms and evolution (Vol. 6, pp. 85–105). doi:https://doi.org/10.1007/3-540-28277-7_5

    Google Scholar 

  57. de Waal, F. B. M., & Luttrell, L. M. (1988). Mechanisms of social reciprocity in three primate species: symmetrical relationship characteristics or cognition? Ethology and Sociobiology, 9, 101–118.

    Google Scholar 

  58. Defulio, A., Yankelevitz, R., Bullock, C., & Hackenberg, T. D. (2014). Generalized conditioned reinforcement with pigeons in a token economy. Journal of the Experimental Analysis of Behavior, 102(1), 26–46. doi:https://doi.org/10.1002/jeab.94

    Article  PubMed  Google Scholar 

  59. Denault, L. K., & McFarlane, D. A. (1995). Reciprocal altruism between male vampire bats, Desmodus rotundus. Animal Behaviour, 49(3), 855–856. doi:https://doi.org/10.1016/0003-3472(95)80220-7

    Article  Google Scholar 

  60. Dere, E., Kart-Teke, E., Huston, J. P., & De Souza Silva, M. A. (2006). The case for episodic memory in animals. Neuroscience and Biobehavioral Reviews, 30(8), 1206–1224. doi:https://doi.org/10.1016/j.neubiorev.2006.09.005

    Article  PubMed  Google Scholar 

  61. Deutsch, M. (1975). Equity, equality, and need: what determines which value will be used as the basis of distributive justice? Journal of Social Issues, 31, 137–150.

    Google Scholar 

  62. di Bitetti, M. S. (1997). Evidence for an important social role of allogrooming in a platyrrhine primate. Animal Behaviour, 54(1), 199–211. doi:https://doi.org/10.1006/anbe.1996.0416

    Article  Google Scholar 

  63. Díaz-Muñoz, S. L., DuVal, E. H., Krakauer, A. H., & Lacey, E. A. (2014). Cooperating to compete: altruism, sexual selection and causes of male reproductive cooperation. Animal Behaviour, 88, 67–78. doi:https://doi.org/10.1016/j.anbehav.2013.11.008

    Article  Google Scholar 

  64. Dolan, R. J. (2002). Emotion, cognition, and behavior. Science, 298(5596), 1191–1194. doi:https://doi.org/10.1126/science.1076358

    Article  PubMed  Google Scholar 

  65. Dolivo, V., Rutte, C., & Taborsky, M. (2016). Ultimate and proximate mechanisms of reciprocal altruism in rats. Learning and Behavior, 44, 223. doi:https://doi.org/10.3758/s13420-016-0236-z

    Article  PubMed  Google Scholar 

  66. Dolivo, V., & Taborsky, M. (2015). Norway rats reciprocate help according to the quality of help they received. Biology Letters, 11, 20140959. doi:https://doi.org/10.1098/rsbl.2014.0959

    Article  PubMed  PubMed Central  Google Scholar 

  67. Dufour, V., Pelé, M., Neumann, M., Thierry, B., & Call, J. (2009). Calculated reciprocity after all: computation behind token transfers in orang-utans. Biology Letters, 5(2), 172–175. doi:https://doi.org/10.1098/rsbl.2008.0644

    Article  PubMed  Google Scholar 

  68. Dugatkin, L. A. (1997). Cooperation among animals – an evolutionary perspective. doi:https://doi.org/10.1086/215731

    Google Scholar 

  69. Dunbar, R. I. M. (1992). Neocortex size as a constraint on group size in primates. Journal of Human Evolution, 22(6), 469–493. doi:https://doi.org/10.1016/0047-2484(92)90081-J

    Article  Google Scholar 

  70. Fagot, J., & Cook, R. G. (2006). Evidence for large long-term memory capacities in baboons and pigeons and its implications for learning and the evolution of cognition. Proceedings of the National Academy of Sciences, 103(46), 17564–17567. doi:https://doi.org/10.1073/pnas.0605184103

    Article  Google Scholar 

  71. Fehr, E., & Fischbacher, U. (2003). The nature of human altruism. Nature, 425(6960), 785–791. doi:https://doi.org/10.1038/nature02043

    Article  PubMed  Google Scholar 

  72. Fragaszy, D. M., Visalberghi, E., & Fegan, L. M. (2009). The complete capuchin: the biology of the genusCebus. doi:https://doi.org/10.1007/s10764-005-2936-7

    Google Scholar 

  73. Freidin, E., Carballo, F., & Bentosela, M. (2017). Direct reciprocity in animals: the roles of bonding and affective processes. International Journal of Psychology, 52(2), 163–170. doi: https://doi.org/10.1002/ijop.12215

    Article  PubMed  Google Scholar 

  74. Freitas, M. B., Welker, A. F., Millan, S. F., & Pinheiro, E. C. (2003). Metabolic responses induced by fasting in the common vampire bat Desmodus rotundus. Journal of Comparative Physiology B: Biochemical, Systemic, and Environmental Physiology, 173(8), 703–707. doi: https://doi.org/10.1007/s00360-003-0383-3

    Article  PubMed  Google Scholar 

  75. Gachter, S., & Falk, A. (2002). Reputation and reciprocity: consequences for the labour relation. Scandinavian Journal of Economics, 104(1), 1–26. doi:https://doi.org/10.2307/3441139

    Article  Google Scholar 

  76. Gächter, S., Kessler, E., & Königstein, M. (2011). The roles of incentives and voluntary cooperation for contractual compliance. IZA Discussion Paper, (5774), 1–46.

    Google Scholar 

  77. Galef, B. G., Lee, W. Y., & Whiskin, E. E. (2005). Lack of interference in long-term memory for socially learned food preferences in rats (Rattus norvegicus). Journal of Comparative Psychology, 119(2), 131–135. doi:https://doi.org/10.1037/0735-7036.119.2.131

    Article  PubMed  Google Scholar 

  78. Gallistel, C. R. (2008). Learning and representation. In R. Menzel (Ed.), Learning and memory: a comprehensive reference (Vol. 1, pp. 227–242). Oxford, UK: Elsevier.

    Google Scholar 

  79. Gallistel, C. R., & Gibbon, J. (2001). Models of simple conditioning. Current Directions in Psychological Science, 10(4), 146–150.

    Google Scholar 

  80. Gfrerer, N., & Taborsky, M. (2017). Working dogs cooperate among one another by generalised reciprocity. Scientific Reports, 7, 43867. doi:https://doi.org/10.1038/srep43867

    Article  PubMed  PubMed Central  Google Scholar 

  81. Hamilton, W. D. (1964). The genetical evolution of social behaviour. I. Journal of Theoretical Biology, 7(1), 1–16.

    PubMed  Google Scholar 

  82. Hammerstein, P. (2003). Why is reciprocity so rare in social animals? In P. Hammerstein (Ed.), Genetic and cultural evolution of cooperation (pp. 83–93). Cambridge: MIT Press.

    Google Scholar 

  83. Hattori, Y., Kuroshima, H., & Fujita, K. (2005). Cooperative problem solving by tufted capuchin monkeys (Cebus apella): spontaneous division of labor, communication, and reciprocal altruism. Journal of Comparative Psychology, 119(3), 335–342. doi:https://doi.org/10.1037/0735-7036.119.3.335

    Article  PubMed  Google Scholar 

  84. Hauser, M. D., McAuliffe, K., & Blake, P. R. (2009). Evolving the ingredients for reciprocity and spite. Philosophical Transactions of the Royal Society B: Biological Sciences, 364(1533), 3255–3266. doi:https://doi.org/10.1098/rstb.2009.0116

    Article  Google Scholar 

  85. Healy, S. D., & Rowe, C. (2007). A critique of comparative studies of brain size. Proceedings of the Royal Society B: Biological Sciences, 274(1609), 453–464. doi:https://doi.org/10.1098/rspb.2006.3748

    Article  PubMed  Google Scholar 

  86. Hemelrijk, C. K. (1994). Support for being groomed in long-tailed macaques, Macaca fascicularis. Animal Behaviour, 48, 479–481.

    Google Scholar 

  87. Hemelrijk, C. K., & Luteijn, M. (1998). Male presence and grooming reciprocation among female primates: a comparative perspective. Behavioral Ecology and Sociobiology, 42(3), 207–215.

    Google Scholar 

  88. Henzi, S. P., & Barrett, L. (1999). The value of grooming to female primates. Primates, 40(1), 47–59. doi:https://doi.org/10.1007/BF02557701

    Article  Google Scholar 

  89. Hill, R. A., & Dunbar, R. I. M. (2003). Social network size in humans. Human Nature, 14(1), 53–72. doi:https://doi.org/10.1007/s12110-003-1016-y

    Article  PubMed  Google Scholar 

  90. Hizak, J., Dmitrovic, L. G., & Cubrilo, M. (2018). The role of memory in transition from direct to indirect reciprocity. BioRxiv, arXiv:1810.02536.

  91. Inglis, R. F., West, S. A., & Buckling, A. (2014). An experimental study of strong reciprocity in bacteria. Biology Letters, 10, 20131069. doi:https://doi.org/10.1098/rsbl.2013.1069

    Article  PubMed  PubMed Central  Google Scholar 

  92. Izawa, K. (1980). Social behavior of the wild black-capped capuchin (Cebus apella). Primates, 21, 443–467.

    Google Scholar 

  93. Jaeggi, A. V., de Groot, E., Stevens, J. M. G., & van Schaik, C. P. (2013). Mechanisms of reciprocity in primates: testing for short-term contingency of grooming and food sharing in bonobos and chimpanzees. Evolution and Human Behavior, 34(2), 69–77. doi:https://doi.org/10.1016/j.evolhumbehav.2012.09.005

    Article  Google Scholar 

  94. Jaeggi, A. V., & Gurven, M. (2013). Reciprocity explains food sharing in humans and other primates independent of kin selection and tolerated scrounging: a phylogenetic meta-analysis. Proceedings of the Royal Society B: Biological Sciences, 280(1768), 20131615. doi: https://doi.org/10.1098/rspb.2013.1615

    Article  PubMed  Google Scholar 

  95. Janson, C. H. (1985). Aggressive competition and individual food consumption in wild brown capuchin monkeys (Cebus apella). Behavioral Ecology and Sociobiology, 18(2), 125–138.

    Google Scholar 

  96. Kahneman, D., Treisman, A., & Gibbs, B. J. (1992). The reviewing of object-files: object specific integration of information. Cognitive Psychology, 24, 174–219.

    Google Scholar 

  97. Kano, F., Tanaka, M., & Tomonaga, M. (2008). Enhanced recognition of emotional stimuli in the chimpanzee (Pan troglodytes). Animal Cognition, 11(3), 517–524. doi:https://doi.org/10.1007/s10071-008-0142-7

    Article  PubMed  Google Scholar 

  98. Kensinger, E. A. (2004). Remembering emotional experiences: the contribution of valence and arousal. Reviews in the Neurosciences, 15(4), 241–253.

    PubMed  Google Scholar 

  99. Kettler, N., Schweinfurth, M. K., & Taborsky, M. (under review). Direct reciprocity in a multiple interaction experiment.

  100. Kiers, E. T., Duhamel, M., Beesetty, Y., Mensah, J. A., Franken, O., Verbruggen, E., … Bücking, H. (2011). Reciprocal rewards stabilize cooperation in the mycorrhizal symbiosis. Science, 333, 880–882.

    PubMed  Google Scholar 

  101. Kosfeld, M., Heinrichs, M., Zak, P. J., Fischbacher, U., & Fehr, E. (2005). Oxytocin increases trust in humans. Nature, 435(7042), 673–667. doi:https://doi.org/10.1038/nature03701

    Article  Google Scholar 

  102. Kraemer, P. J. (1984). Forgetting of visual discriminations by pigeons. Journal of Experimental Psychology: Animal Behavior Processes, 10(4), 530–542. doi:https://doi.org/10.1037/0097-7403.10.4.530

    Article  PubMed  Google Scholar 

  103. Kurvers, R. H. J. M., Krause, J., Croft, D. P., Wilson, A. D. M., & Wolf, M. (2014). The evolutionary and ecological consequences of animal social networks: emerging issues. Trends in Ecology and Evolution, 29(6), 326–335. doi:https://doi.org/10.1016/j.tree.2014.04.002

    Article  PubMed  Google Scholar 

  104. Laland, K. L. (2004). Social learning strategies. Animal Learning and Behavior, 32(1), 4–14. doi:https://doi.org/10.3758/BF03196002

    Article  Google Scholar 

  105. Larose, K., & Dubois, F. (2011). Constraints on the evolution of reciprocity: an experimental test with zebra finches. Ethology, 117(2), 115–123. doi:https://doi.org/10.1111/j.1439-0310.2010.01850.x

    Article  Google Scholar 

  106. Leimgruber, K. L., Ward, A. F., Widness, J., Norton, M. I., Olson, K. R., Gray, K., & Santos, L. R. (2014). Give what you get: capuchin monkeys (Cebus apella) and 4-year-old children pay forward positive and negative outcomes to conspecifics. PLoS ONE, 9(1), e87035. doi:https://doi.org/10.1371/journal.pone.0087035

    Article  PubMed  PubMed Central  Google Scholar 

  107. Lewis, A., Call, J., & Berntsen, D. (2017). Distinctiveness enhances long-term event memory in non-human primates, irrespective of reinforcement. American Journal of Primatology, 79(8), e22665. doi:https://doi.org/10.1002/ajp.22665

    Article  Google Scholar 

  108. Li, G. R., & Wood, R. I. (2017). Male rats play a repeated donation game. Physiology and Behavior, 174, 95–103. doi:https://doi.org/10.1016/j.physbeh.2017.03.010

    Article  PubMed  Google Scholar 

  109. Lind, J., Enquist, M., & Ghirlanda, S. (2015). Animal memory: a review of delayed matching-to-sample data. Behavioural Processes, 117, 52–58. doi:https://doi.org/10.1016/j.beproc.2014.11.019

    Article  PubMed  Google Scholar 

  110. Lotem, A., & Halpern, J. Y. (2012). Coevolution of learning and data-acquisition mechanisms: a model for cognitive evolution. Philosophical Transactions of the Royal Society B: Biological Sciences, 367, 2686–2694. doi:https://doi.org/10.1098/rstb.2012.0213

    Article  Google Scholar 

  111. MacDonald, D. W., Stewart, P. D., Stopka, P., & Yamaguchi, N. (2000). Measuring the dynamics of mammalian societies: an ecologist’s guide to ethological methods. In Luigi Boitani & T. K. Fuller (Eds.), Research techniques in animal ecology: controversies and consequences (pp. 367–423). Columbia University Press New York.

    Google Scholar 

  112. Maclean, E. L., Matthews, L. J., Hare, B. A., Nunn, C. L., Anderson, R. C., Aureli, F., … Wobber, V. (2012). How does cognition evolve? Phylogenetic comparative psychology. Animal Cognition, 15(2), 223–238. doi:https://doi.org/10.1007/s10071-011-0448-8

    Article  PubMed  Google Scholar 

  113. Majolo, B., Ames, K., Brumpton, R., Garratt, R., Hall, K., & Wilson, N. (2013). Human friendship favours cooperation in the Iterated Prisoner’s Dilemma. Behaviour, 143(11), 1383–1395.

    Google Scholar 

  114. Majolo, B., Schino, G., & Aureli, F. (2012). The relative prevalence of direct, indirect and generalized reciprocity in macaque grooming exchanges. Animal Behaviour, 83(3), 763–771. doi:https://doi.org/10.1016/j.anbehav.2011.12.026

    Article  Google Scholar 

  115. Marlowe, F. W. (2005). Hunter-gatherers and human evolution. Evolutionary Anthropology, 14(2), 54–67. doi:https://doi.org/10.1002/evan.20046

    Article  Google Scholar 

  116. Márquez, C., Rennie, S. M., Costa, D. F., & Moita, M. M. (2015). Prosocial choice in rats depends on food-seeking behavior displayed by recipients. Current Biology, 25(13), 1736–1745. doi:https://doi.org/10.1016/j.cub.2015.05.018

    Article  PubMed  Google Scholar 

  117. Marzluff, J. M., Walls, J., Cornell, H. N., Withey, J. C., & Craig, D. P. (2010). Lasting recognition of threatening people by wild American crows. Animal Behaviour, 79(3), 699–707. doi:https://doi.org/10.1016/j.anbehav.2009.12.022

    Article  Google Scholar 

  118. Massen, J. J. M., Sterck, E. H. M., & de Vos, H. (2010). Close social associations in animals and humans: functions and mechanisms of friendship. Behaviour, 147(11), 1379–1412. doi:https://doi.org/10.1163/000579510X528224

    Article  Google Scholar 

  119. McAuliffe, K., & Thornton, A. (2015). The psychology of cooperation in animals: an ecological approach. Journal of Zoology, 295(1), 23–35. doi:https://doi.org/10.1111/jzo.12204

    Article  Google Scholar 

  120. McNab, B. K. (1973). Energetics and the distribution of vampires. American Society of Mammalogists, 54(1), 131–144.

    Google Scholar 

  121. Melis, A. P., Grocke, P., Kalbitz, J., & Tomasello, M. (2016). One for you, one for me: humans’ unique turn-taking skills. Psychological Science, 27(7), 987–996. doi:https://doi.org/10.1177/0956797616644070

    Article  PubMed  Google Scholar 

  122. Melis, A. P., & Semmann, D. (2010). How is human cooperation different? Philosophical Transactions of the Royal Society B: Biological Sciences, 365(1553), 2663–274. doi:https://doi.org/10.1098/rstb.2010.0157

    Article  Google Scholar 

  123. Mendres, K. A., & de Waal, F. B. M. (2000). Capuchins do cooperate: the advantage of an intuitive task. Animal Behaviour, 60(4), 523–529. doi:https://doi.org/10.1006/anbe.2000.1512

    Article  PubMed  Google Scholar 

  124. Milinski, M., & Wedekind, C. (1998). Working memory constrains human cooperation in the Prisoner’s dilemma. Proceedings of the National Academy of Sciences of the United States of America, 95(23), 13755–13758. doi:https://doi.org/10.1073/pnas.95.23.13755

    Article  PubMed  PubMed Central  Google Scholar 

  125. Moreira, J., Vukov, J., Sousa, C., Santos, F. C., d’Almeida, A. F., Santos, M. D., & Pacheco, J. M. (2013). Individual memory and the emergence of cooperation. Animal Behaviour, 85(1), 233–239. doi:https://doi.org/10.1016/j.anbehav.2012.10.030

    Article  Google Scholar 

  126. Müller, J. J. A., Massen, J. J. M., Bugnyar, T., & Osvath, M. (2017). Ravens remember the nature of a single reciprocal interaction sequence over 2 days and even after a month. Animal Behaviour, 128, 69–78. doi:https://doi.org/10.1016/j.anbehav.2017.04.004

    Article  Google Scholar 

  127. Nowak, M. A. (2012). Evolving cooperation. Journal of Theoretical Biology, 299, 1–8. doi:https://doi.org/10.1016/j.jtbi.2012.01.014

    Article  PubMed  Google Scholar 

  128. Nowak, M. A., & Sigmund, K. (1998). The dynamics of indirect reciprocity. Journal of Theoretical Biology, 194(4), 561–574.

    PubMed  Google Scholar 

  129. Olmstead, M. C., & Kuhlmeier, V. A. (2015a). Chapter 4: Associative processes. In Comparative cognition (pp. 107–145). Cambridge: Cambridge University Press.

    Google Scholar 

  130. Olmstead, M. C., & Kuhlmeier, V. A. (2015b). Chapter 6: Timing and number. In Comparative cognition (pp. 185–212). Cambridge: Cambridge University Press.

    Google Scholar 

  131. Panoz-Brown, D., Corbin, H. E., Dalecki, S. J., Sluka, C. M., Wu, J. E., Crystal, J. D., … Crystal, J. D. (2016). Rats remember items in context using episodic memory. Current Biology, 26(20), 2821–2826. doi:https://doi.org/10.1016/j.cub.2016.08.023

    Article  PubMed  Google Scholar 

  132. Paolucci, M., Conte, R., & Di Tosto, G. (2006). A model of social organization and the evolution of food sharing in vampire bats. Adaptive Behavior, 14(3), 223–238. doi:https://doi.org/10.1177/105971230601400305

    Article  Google Scholar 

  133. Parrish, A., Brosnan, S. F., & Beran, M. J. (2015). Capuchin monkeys alternate play and reward in a dual computerized task. Animal Behavior and Cognition, 2(4), 334–347. doi:https://doi.org/10.12966/abc.11.03.2015

    Article  Google Scholar 

  134. Pelé, M., Dufour, V., Thierry, B., & Call, J. (2009). Token transfers among great apes (Gorilla gorilla, Pongo pygmaeus, Pan paniscus, and Pan troglodytes): species differences, gestural requests, and reciprocal exchange. Journal of Comparative Psychology, 123(4), 375–384. doi:https://doi.org/10.1037/a0017253

    Article  PubMed  Google Scholar 

  135. Pelé, M., Thierry, B., Call, J., & Dufour, V. (2010). Monkeys fail to reciprocate in an exchange task. Animal Cognition, 13(5), 745–751. doi:https://doi.org/10.1007/s10071-010-0325-x

    Article  PubMed  Google Scholar 

  136. Pepperberg, I. M. (2017). Chapter 10: Avian numerical cognition: a review and brief comparison to non-avian species. In C. ten Cate & S. D. Healy (Eds.), Avian cognition (pp. 184–208). Cambridge: Cambridge University Press.

    Google Scholar 

  137. Pinto, A. I., Oates, J., & Grutter, A. S. (2011). Cleaner wrasses Labroides dimidiatus are more cooperative in the presence of an audience. Current Biology, 21(13), 1140–1144. doi:https://doi.org/10.1016/j.cub.2011.05.021

    Article  PubMed  Google Scholar 

  138. Potrich, D., Sovrano, V. A., & Vallortigara, G. (2015). Quantity discrimination by zebrafish (Danio rerio). Journal of Comparative Psychology, 129(4), 4–9.

    Google Scholar 

  139. Raffel, G. (1936). Two determinants of the effect of primacy. The American Journal of Psychology, 48(4), 654–657.

    Google Scholar 

  140. Raihani, N. J., & Bshary, R. (2011). Resolving the iterated Prisoner’s dilemma: theory and reality. Journal of Evolutionary Biology, 24(8), 1628–1639. doi:https://doi.org/10.1111/j.1420-9101.2011.02307.x

    Article  PubMed  Google Scholar 

  141. Ramseyer, A., Pelé, M., Dufour, V., Chauvin, C., & Thierry, B. (2006). Accepting loss: the temporal limits of reciprocity in brown capuchin monkeys. Proceedings of the Royal Society B: Biological Sciences, 273(1583), 179–184. doi:https://doi.org/10.1098/rspb.2005.3300

    Article  PubMed  Google Scholar 

  142. Ratcliffe, J. M., Fenton, M. B., & Galef, B. G. (2003). An exception to the rule: common vampire bats do not learn taste aversions. Animal Behaviour, 65(2), 385–389. doi:https://doi.org/10.1006/anbe.2003.2059

    Article  Google Scholar 

  143. Reed, P., & Richards, A. (1996). The von Restorff Effect in rats (Rattus norvegicus). Journal of Comparative Psychology, 110(2), 193–198. doi:https://doi.org/10.1037/0735-7036.110.2.193

    Article  PubMed  Google Scholar 

  144. Romero, T., Onishi, K., & Hasegawa, T. (2016). The role of oxytocin on peaceful associations and sociality in mammals. Behaviour, 153(9–11), 1053–1071. doi:https://doi.org/10.1163/1568539X-00003358

    Article  Google Scholar 

  145. Rubin, D. C., & Umanath, S. (2015). Event memory: a theory of memory for laboratory, autobiographical, and fictional events. Psychological Review, 122(1), 1–23. doi: https://doi.org/10.1016/j.immuni.2010.12.017.Two-stage

    Article  PubMed  Google Scholar 

  146. Russell, A. F., & Wright, J. (2009). Avian mobbing: byproduct mutualism not reciprocal altruism. Trends in Ecology and Evolution, 24(1), 3–5. doi:https://doi.org/10.1016/j.tree.2008.08.006

    Article  PubMed  Google Scholar 

  147. Rutte, C., & Taborsky, M. (2007). Generalized reciprocity in rats. PLoS Biology, 5(7), 1421–1425. doi:https://doi.org/10.1371/journal.pbio.0050196

    Article  Google Scholar 

  148. Rutte, C., & Taborsky, M. (2008). The influence of social experience on cooperative behaviour of rats (Rattus norvegicus): direct vs generalised reciprocity. Behavioral Ecology and Sociobiology, 62(4), 499–505. doi:https://doi.org/10.1007/s00265-007-0474-3

    Article  Google Scholar 

  149. Sabbatini, G., De Bortoli Vizioli, A., Visalberghi, E., & Schino, G. (2012). Food transfers in capuchin monkeys: an experiment on partner choice. Biology Letters, 8(5), 757–759. doi:https://doi.org/10.1098/rsbl.2012.0534

    Article  PubMed  PubMed Central  Google Scholar 

  150. Sánchez-Amaro, A., & Amici, F. (2015). Are primates out of the market? Animal Behaviour, 110, 51–60. doi:https://doi.org/10.1016/j.anbehav.2015.09.020

    Article  Google Scholar 

  151. Schino, G. (2007). Grooming and agonistic support: a meta-analysis of primate reciprocal altruism. Behavioral Ecology, 18(1), 115–120. doi:https://doi.org/10.1093/beheco/arl045

    Article  Google Scholar 

  152. Schino, G., & Aureli, F. (2008). Grooming reciprocation among female primates: a meta-analysis. Biology Letters, 4, 9–11. doi:https://doi.org/10.1007/BF00303714

    Article  PubMed  Google Scholar 

  153. Schino, G., & Aureli, F. (2009). Reciprocal altruism in primates: partner choice, cognition, and emotions. Advances in the Study of Behavior, 39, 45–69. doi:https://doi.org/10.1016/S0065-3454(09)39002-6

    Article  Google Scholar 

  154. Schino, G., & Aureli, F. (2010a). A few misunderstandings about reciprocal altruism. Communicative and Integrative Biology, 3(6), 561–563. doi:https://doi.org/10.4161/cib.3.6.12977

    Article  PubMed  Google Scholar 

  155. Schino, G., & Aureli, F. (2010b). Primate reciprocity and its cognitive requirements. Evolutionary Anthropology, 19(4), 130–135. doi:https://doi.org/10.1002/evan.20270

    Article  Google Scholar 

  156. Schino, G., & Aureli, F. (2010c). The relative roles of kinship and reciprocity in explaining primate altruism. Ecology Letters, 13(1), 45–50. doi:https://doi.org/10.1111/j.1461-0248.2009.01396.x

    Article  PubMed  Google Scholar 

  157. Schino, G., & Aureli, F. (2017). Reciprocity in group-living animals: partner control versus partner choice. Biological Reviews, 92(2), 665–672. doi:https://doi.org/10.1111/brv.12248

    Article  PubMed  Google Scholar 

  158. Schino, G., di Giuseppe, F., & Visalberghi, E. (2009a). The time frame of partner choice in the grooming reciprocation of Cebus apella. Ethology, 115(1), 70–76. doi:https://doi.org/10.1111/j.1439-0310.2008.01581.x

    Article  Google Scholar 

  159. Schino, G., di Giuseppe, F., & Visalberghi, E. (2009b). Grooming, rank, and agonistic support in tufted capuchin monkeys. American Journal of Primatology, 71(2), 101–105. doi:https://doi.org/10.1002/ajp.20627

    Article  PubMed  Google Scholar 

  160. Schmid, R., Schneeberger, K., & Taborsky, M. (2017). Feel good - do good? Disentangling reciprocity from unconditional prosociality. Ethology, 123, 640–6470. doi:https://doi.org/10.1111/eth.12636

    Article  Google Scholar 

  161. Schneeberger, K., Dietz, M., & Taborsky, M. (2012). Reciprocal cooperation between unrelated rats depends on cost to donor and benefit to recipient. BMC Evolutionary Biology, 12(1), 41. doi:https://doi.org/10.1186/1471-2148-12-41

    Article  PubMed  PubMed Central  Google Scholar 

  162. Schneeberger, K., Röder, G., & Taborsky, M. (under review). The smell of hunger: Norway rats provision social partners based on odour cues of need.

  163. Schweinfurth, M. K. (in press). Reciprocity in Norway rats (Rattus norvegicus). In A. Kaufman, J. Call, & J. Kaufman (Eds.), Cambridge handbook of animal cognition. Cambridge: Cambridge University Press.

  164. Schweinfurth, M. K., Aeschbacher, J., Santi, M., & Taborsky, M. (2019). Male Norway rats cooperate according to direct reciprocity but not to generalised reciprocity. Animal Behaviour, 152, 93-101.

    Google Scholar 

  165. Schweinfurth, M. K., Neuenschwander, J., Engqvist, L., Schneeberger, K., Rentsch, A. K., Gygax, M., & Taborsky, M. (2017a). Do female Norway rats form social bonds? Behavioral Ecology and Sociobiology, 71(6), 98. doi:https://doi.org/10.1007/s00265-017-2324-2

    Article  Google Scholar 

  166. Schweinfurth, M. K., Stieger, B., & Taborsky, M. (2017b). Experimental evidence for reciprocity in allogrooming among wild-type Norway rats. Scientific Reports, 7(1), 4010. doi:https://doi.org/10.1038/s41598-017-03841-3

    Article  PubMed  PubMed Central  Google Scholar 

  167. Schweinfurth, M. K., & Taborsky, M. (under review). Rats play tit-for-tat instead of integrating social experience over multiple interactions.

  168. Schweinfurth, M. K., & Taborsky, M. (2016). No evidence for audience effects in reciprocal cooperation of Norway rats. Ethology, 122(6), 513–521. doi:https://doi.org/10.1111/eth.12499

    Article  Google Scholar 

  169. Schweinfurth, M. K., & Taborsky, M. (2017). The transfer of alternative tasks in reciprocal cooperation. Animal Behaviour, 131, 35–41. doi:https://doi.org/10.1016/j.anbehav.2017.07.007

    Article  Google Scholar 

  170. Schweinfurth, M. K., & Taborsky, M. (2018a). Norway rats (Rattus norvegicus) communicate need, which elicits donation of food. Journal of Comparative Psychology, 132(2), 119–129. doi:https://doi.org/10.1037/com0000102

    Article  PubMed  Google Scholar 

  171. Schweinfurth, M. K., & Taborsky, M. (2018b). Reciprocal trading of different commodities in Norway rats. Current Biology, 28, 594–599. doi:https://doi.org/10.1016/j.cub.2017.12.058

    Article  PubMed  Google Scholar 

  172. Schweinfurth, M. K., & Taborsky, M. (2018c). Relatedness decreases and reciprocity increases cooperation in Norway rats. Proceedings of the Royal Society B: Biological Sciences, 285, 20180035. doi:https://doi.org/10.1098/rspb.2018.0035

    Article  PubMed  Google Scholar 

  173. Seyfarth, R. M., & Cheney, D. L. (2012). The evolutionary origins of friendship. Annual Review of Psychology, 63, 153–177. doi:https://doi.org/10.1146/annurev-psych-120710-100337

    Article  PubMed  Google Scholar 

  174. Silk, J. B. (2003). Cooperation without counting - the puzzle of friendship. In P. Hammerstein (Ed.), Genetic and cultural evolution of cooperation (pp. 37–54). Cambridge: MIT Press.

    Google Scholar 

  175. Simones, P. M. V. (2007). Cooperation in rats playing an iterated Prisoner’s dilemma game: influence of a game matrix formed with qualitatively distinct payoffs. Master thesis, University of Lisbon, Lisbon.

  176. Steidlmeier, P. (1999). Gift giving, bribery and corruption: ethical management of business relationships in China. Journal of Business Ethics, 20(2), 121–132.

    Google Scholar 

  177. Stephens, D. W., McLinn, C. M., & Stevens, J. R. (2002). Discounting and reciprocity in an iterated Prisoner’s dilemma. Science, 298(5601), 2216–2218. doi:https://doi.org/10.1126/science.1078498

    Article  PubMed  Google Scholar 

  178. Stevens, J. R., Cushman, F. A., & Hauser, M. D. (2005). Evolving the psychological mechanisms for cooperation. Annual Review of Ecology, Evolution, and Systematics, 36(1), 499–518. doi:https://doi.org/10.1146/annurev.ecolsys.36.113004.083814

    Article  Google Scholar 

  179. Stevens, J. R., & Gilby, I. C. (2004). A conceptual framework for nonkin food sharing: timing and currency of benefits. Animal Behaviour, 67(4), 603–614. doi:https://doi.org/10.1016/j.anbehav.2003.04.012

    Article  Google Scholar 

  180. Stevens, J. R., & Hauser, M. D. (2004). Why be nice? Psychological constraints on the evolution of cooperation. Trends in Cognitive Sciences, 8(2), 60–65. doi:https://doi.org/10.1016/j.tics.2003.12.003

    Article  PubMed  Google Scholar 

  181. Stevens, J. R., & Hauser, M. D. (2005). Cooperative brains: psychological constraints on the evolution of altruism. In S. Dehanene, J.-R. Duhamel, G. Rizolatti, & M. D. Hauser (Eds.), From monkey brain to human brain (pp. 159–187). Cambridge: Cambridge University Press.

    Google Scholar 

  182. Stevens, J. R., Volstorf, J., Schooler, L. J., & Rieskamp, J. (2011). Forgetting constrains the emergence of cooperative decision strategies. Frontiers in Psychology, 1, 235. doi:https://doi.org/10.3389/fpsyg.2010.00235

  183. Stieger, B., Schweinfurth, M. K., & Taborsky, M. (2017). Reciprocal allogrooming among unrelated Norway rats (Rattus norvegicus) is affected by previously received cooperative, affiliative and aggressive behaviours. Behavioral Ecology and Sociobiology, 71, 182. doi:https://doi.org/10.1007/s00265-017-2406-1

    Article  Google Scholar 

  184. Suchak, M., & de Waal, F. B. M. (2012). Monkeys benefit from reciprocity without the cognitive burden. Proceedings of the National Academy of Sciences of the United States of America, 109(38), 1519–15196. doi:https://doi.org/10.1073/pnas.1213173109

    Google Scholar 

  185. Sugden, R. (1986). The economics of rights, co-operation, and welfare. Oxfordshire, Blackwell.

    Google Scholar 

  186. Taborsky, M. (1994). Sneakers, satellites, and helpers: parasitic and cooperative behavior in fish reproduction. Advances in the Study of Behavior, 23(C), 1–100. doi:https://doi.org/10.1016/S0065-3454(08)60351-4

    Article  Google Scholar 

  187. Taborsky, M., Frommen, J. G., & Riehl, C. (2016). Correlated pay-offs are key to cooperation. Philosophical Transactions of the Royal Society B: Biological Sciences, 371, 20150084.

    Google Scholar 

  188. Tiddi, B., Aureli, F., Polizzi Di Sorrentino, E., Janson, C. H., & Schino, G. (2011). Grooming for tolerance? Two mechanisms of exchange in wild tufted capuchin monkeys. Behavioral Ecology, 22(3), 663–669. doi:https://doi.org/10.1093/beheco/arr028

    Article  Google Scholar 

  189. Tiddi, B., Aureli, F., & Schino, G. (2012). Grooming up the hierarchy: the exchange of grooming and rank-related benefits in a new world primate. PLoS ONE, 7(5), 3–8. doi: https://doi.org/10.1371/journal.pone.0036641

    Article  Google Scholar 

  190. Tinbergen, N. (1963). On aims and methods of Ethology. Zeitschrift Für Tierpsychologie, 250, 410–433.

    Google Scholar 

  191. Trivers, R. L. (1971). The evolution of reciprocal altruism. The Quarterly Review of Biology, 46(1), 35–57.

    Google Scholar 

  192. Tulving, E. (1972). Episodic and semantic memory. In E. Tulving & W. Donaldson (Eds.), Organization of memory (pp. 381–407). New York: Academic Press.

    Google Scholar 

  193. Viana, D. S., Gordo, I., Sucena, E., & Moita, M. M. (2010). Cognitive and motivational requirements for the emergence of cooperation in a rat social game. PloS One, 5(1), e8483. doi: https://doi.org/10.1371/journal.pone.0008483

    Article  PubMed  PubMed Central  Google Scholar 

  194. Volstorf, J., Rieskamp, J., & Stevens, J. R. (2011). The good, the bad, and the rare: memory for partners in social interactions. PLoS ONE, 6(4), e18945. doi:https://doi.org/10.1371/journal.pone.0018945

    Article  PubMed  PubMed Central  Google Scholar 

  195. Vrtilek, J. K., Carter, G. G., Patriquin, K. J., Page, R. A., & Ratcliffe, J. M. (2018). A method for rapid testing of social learning in vampire bats. Royal Society Open Science, 5(6), 9–16. doi:https://doi.org/10.1098/rsos.172483

    Article  Google Scholar 

  196. Walker, K. (1995). “Always there for me”: friendship patterns and expectations among middle- and working-class men and women. Sociological Forum, 10(2), 273–296.

    Google Scholar 

  197. West, S. A., El Mouden, C., & Gardner, A. (2011). Sixteen common misconceptions about the evolution of cooperation in humans. Evolution and Human Behavior, 32(4), 231–262. doi: https://doi.org/10.1016/j.evolhumbehav.2010.08.001

    Article  Google Scholar 

  198. West, S. A., Griffin, A. S., & Gardner, A. (2007). Social semantics: altruism, cooperation, mutualism, strong reciprocity and group selection. Journal of Evolutionary Biology, 20(2), 415–432. doi:https://doi.org/10.1111/j.1420-9101.2006.01258.x

    Article  PubMed  Google Scholar 

  199. Westergaard, G. C., Liv, C., Rocca, A. M., Cleveland, A., & Suomi, S. J. (2004). Tufted capuchins (Cebus apella) attribute value to foods and tools during voluntary exchanges with humans. Animal Cognition, 7(1), 19–24. doi:https://doi.org/10.1007/s10071-003-0181-z

    Article  PubMed  Google Scholar 

  200. Wilkinson, G. S. (1984). Reciprocal food sharing in the vampire bat. Nature, 308(8), 181–184.

    Google Scholar 

  201. Wilkinson, G. S. (1985a). The social organization of the common vampire bat: I. Pattern and cause of association. Behavioral Ecology and Sociobiology, 17(2), 111–121.

    Google Scholar 

  202. Wilkinson, G. S. (1985b). The social organization of the common vampire bat: II. Mating system, genetic structure, and relatedness. Behavioral Ecology and Sociobiology, 17(2), 123–134.

    Google Scholar 

  203. Wilkinson, G. S. (1986). Social grooming in the common vampire bat, Desmodus rotundus. Animal Behaviour, 34, 1880–1889.

    Google Scholar 

  204. Wilkinson, G. S. (1988). Social organization and behavior. In A. M. Greenhall & U. Schmidt (Eds.), Natural history of vampire bats (pp. 85–97). Danvers: Taylor & Francis Group.

    Google Scholar 

  205. Wilkinson, G. S., Carter, G. G., Bohn, K. M., & Adams, D. M. (2016). Non-kin cooperation in bats. Philosophical Transactions of the Royal Society B: Biological Sciences, 371, 20150095. doi:https://doi.org/10.1098/rstb.2015.0095

    Article  Google Scholar 

  206. Wittig, R. M., Crockford, C., Deschner, T., Langergraber, K. E., Ziegler, T. E., & Zuberbühler, K. (2014). Food sharing is linked to urinary oxytocin levels and bonding in related and unrelated wild chimpanzees. Proceedings of the Royal Society B: Biological Sciences, 281, 20133096.

    PubMed  Google Scholar 

  207. Yamamoto, S., & Tanaka, M. (2009). Do chimpanzees (Pan troglodytes) spontaneously take turns in a reciprocal cooperation task? Journal of Comparative Psychology, 123(3), 242–249. doi:https://doi.org/10.1037/a0015838

    Article  PubMed  Google Scholar 

  208. Yee, J. R., Cavigelli, S. A., Delgado, B., & McClintock, M. K. (2008). Reciprocal affiliation among adolescent rats during a mild group stressor predicts mammary tumors and lifespan. Psychosomatic Medicine, 70(9), 1050–1059. doi:https://doi.org/10.1097/PSY.0b013e31818425fb

    Article  PubMed  PubMed Central  Google Scholar 

  209. Zak, P. J., Stanton, A. A., & Ahmadi, S. (2007). Oxytocin increases generosity in humans. PLoS ONE, 2(11), e1128. doi:https://doi.org/10.1371/journal.pone.0001128

    Article  PubMed  PubMed Central  Google Scholar 

  210. Zentall, T. R. (2015). Reciprocal altruism in rats: why does it occur? Learning and Behavior, 44(7), 15–16. doi:https://doi.org/10.1098/rsbl.2014.0959

    Article  Google Scholar 

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Acknowledgements

The Swiss National Science Foundation provided funding to MKS (grant number P2BEP3 175269). The European Research Council provided funding to JC (Synergy grant 609819 SOMICS). We also thank the reviewers and the editor for their helpful comments.

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Schweinfurth, M.K., Call, J. Reciprocity: Different behavioural strategies, cognitive mechanisms and psychological processes. Learn Behav 47, 284–301 (2019). https://doi.org/10.3758/s13420-019-00394-5

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Keywords

  • Cooperation
  • Reciprocity
  • Cognition
  • Emotion
  • Norway rat
  • Vampire bat
  • Capuchin monkey