Abstract
This paper proposes a model to explain the potential role of inter-group conflicts in determining the rise and fall of signaling norms. Individuals in a population are characterized by high and low productivity types and they are matched in pairs to form social relationships such as mating or foraging relationships. In each relationship, an individual’s payoff is increasing in its own type and its partner’s type. Hence, the payoff structure of a relationship does not resemble a dilemma situation. Assume that types are not observable. In one population, assortative matching according to types is sustained by signaling. In the other population, individuals do not signal and they are randomly matched. Types evolve within each population. At the same time, the two populations may engage in conflicts. Due to assortative matching, high types grow faster in the population with signaling, yet they bear the cost of signaling, which lowers their population’s fitness in the long run. Through simulations, we show that the survival of the signaling population depends crucially on the timing and the efficiency of weapons used in inter-group conflicts.
Similar content being viewed by others
Notes
The theory has been widely applied to explain different phenomena ranging from life sciences to social sciences. See further discussion of the subject in Grafen (1990), Maynard Smith and Harper (1995), Johnstone (1997), Zahavi and Zahavi (1997), Maynard Smith and Harper (2003), Searcy and Nowicki (2005), Getty (2006), Grose (2011) and Számadó (2012), among many others.
Note that joint foraging is usually considered as a typical example of a game with a dilemma and yet Inequality (1) does not reflect a dilemma situation. We want to emphasize that H and L are not strategies, but types of the individuals, and if we consider that different individuals are matched to play a game of dilemma, their equilibrium payoffs as functions of their types would match Inequality (1). Suppose when two individuals are matched, they play a prisoner’s dilemma type foraging game with two strategies: exerting a high effort or exerting a low effort. The low effort is the strictly dominant strategy in the game. Hence, both individuals in a pair always choose to exert the low effort and V(x, y) is the equilibrium payoff of an x-type individual against a y-type individual when both exert the low effort, where \(x\in \{H,L\}\). Assume that the H-type individual exerting the low effort is still more productive than the L-type individual and the two individuals in a pair are not sharing food equally but according to their productivity. Then we would still have Inequality (1).
Another common way of modeling inter-group conflict is to treat it as a game played between two groups. Individuals within a group can contribute to the group’s effort, which is costly to themselves, but beneficial to the group collectively in the conflict. Hence, an individual may have an incentive to free ride on fellow group members. See Bornstein (2003) for a review. Since our focus is on signaling behavior, we refrain from complicating the model by adding an extra layer of effort choice.
References
Bornstein G (2003) Intergroup conflict: individual, group, and collective interests. Pers Soc Psychol Rev 7(2):129–145
Buss DM, Shackelford TK (1997) Human aggression in evolutionary psychological perspective. Clin Psychol Rev 17:605–619
Clifton E (2020) A brief review on the application of Lanchester’s models of combat in nonhuman animals. Ecol Psychol 32(4):181–191
Ferguson BR (2012) Tribal walfare. In: Martel G (ed) The encyclopedia of war. Wiley-Blackwell, Hoboken, pp 2232–2244
Gat A (2006) War in human civilization. Oxford University Press, Oxford
Getty T (2006) Sexually selected signals are not similar to sports handicaps. Trends Ecol Evol 21:83–88
Gintis H, AldenSmith E, Bowles S (2001) Costly signaling and cooperation. J Theor Biol 213:103–119
Grafen A (1990) Biological signals as handicaps. J Theor Biol 144:517–546
Grose J (2011) Modelling and the fall and rise of the handicap principle. Biol Philos 26:677–696
Guilaine J, Zammit J (2004) The origins of war: violence in prehistory. Blackwell, Oxford
Hopkins E (2014) Competitive altruism, mentalizing and signaling. Am Econ J: Microecon 2656(4):272–292
Johnson DD, MacKay NJ (2015) Fight the power: Lanchester’s laws of combat in human evolution. Evolut Hum Behav 36:152–163
Johnstone R (1997) The evolution of animal signals. In: Krebs J, Davies N (eds) Behavioral ecology, an evolutionary approach, 4th edn. Blackwell Scientific Publications, Oxford, pp 465–485
Keeley L (1996) War before civilization: the myth of the peaceful savage. Oxford University Press, Oxford
Lanchester FW (1916) Aircraft in warfare: the dawn of the fourth arm. Constable & Co., London
Potts THM (2008) Sex and war: how biology explains warfare and terrorism and offers a path to a safer world. Benbella Books, Dallas, TX
Maynard-Smith J, Harper D (1995) Animal signals: models and terminology. J Theor Biol 177:305–311
Maynard Smith J, Harper D (2003) Animal signals. Oxford University Press, Oxford
Miller G (2000) The mating mind: how sexual choice shaped the evolution of human nature. Heinemann, London
Nax HH, Rigos A (2016) Assortativity evolving from social dilemmas. J Theor Biol 395:194–203
Newton J (2017) The preferences of homo moralis are unstable under evolving assortativity. Internat J Game Theory 46:583–589
Przepiorka W, Diekmann A (2021) Parochial cooperation and the emergence of signalling norms. Philos Trans R Soc B: Biol Sci 376:20200294
Roberts G (1998) Competitive altruism: from reciprocity to the handicap principle. Proc R Soc B 265(1395):427–431
Wrangham DPRW (1996) Demonic males: Apes and the origins of human violence. Bloomsbury, London
LeBlanc KRS (2003) Constant battles: the myth of the peaceful, noble savage. St. Martin’s Press, New York
Searcy W, Nowicki S (2005) The evolution of animal communication. Reliability and deception in signalling systems. Princeton University Press, Princeton
Spence A (1973) Job market signaling. Q J Econ 87:355–374
Számadó S (2012) The rise and fall of the handicap principle: a commentary on the “modelling and the fall and rise of the handicap principle. Biol Philos 27:279–286
Wilson ML, Britton NF, Franks NR (2002) Chimpanzees and the mathematics of battle. Proc R Soc B: Biol Sci 269:1107–1112
Wu J (2016) Evolving assortativity and social conventions. Econ Bull 36:936–941
Wu J (2018) Entitlement to assort: democracy, compromise culture and economic stability. Econ Lett 163:146–148
Wu J (2023) Institution, assortative matching and cultural evolution. Working Paper
Zahavi A (1975) Mate selection: a selection for a handicap. J Theor Biol 53:205–214
Zahavi A, Zahavi A (1997) The handicap principle. Oxford University Press, Oxford
Author information
Authors and Affiliations
Corresponding author
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
We sincerely thank two anonymous referees for their constructive suggestions that greatly improve the paper. We also thank Wallice Ao, Jonathan Newton, Van Kolpin and Anne van den Nouweland for their comments.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Holdahl, E., Wu, J. Conflicts, assortative matching, and the evolution of signaling norms. J Econ Interact Coord 18, 735–757 (2023). https://doi.org/10.1007/s11403-023-00384-x
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11403-023-00384-x