Abstract
Over the last years, Agent Based Models (ABMs) have become an important instrument to simulate social complex phenomena. At the same time, they have shown interesting implications for learning activities. To this purpose, we report a simulation on helping behavior carried out by means of an Agent Based Model (ABM) based on four types of different virtual agents: Warm-Glow Cooperators (WG), who give help because it makes them feel better; Gratitude Cooperators (GC), who give help because they previously received help; Cooperators (C), who give help because of both the reasons mentioned above; Defectors (D) who do not give help at all. We explore the pro-social behavior of each type of agents and the system where they live for a certain amount of time in different situations. This specific ABM shows, in the most effective way, why we should increase the level of helping behavior in the population. Furthermore, assuming that giving and receiving help can be both considered positive activities, WG and GC agent strategies should be those who allow to derive the greatest benefit overall. Taking also in account the pedagogical implications of ABMs, the present simulation can be considered as a good instrument to explain dynamics of helping behavior in a virtual society.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Andreoni, J.: Impure altruism and donations to public goods: A theory of warm-glow giving. The Economic Journal 100, 464–477 (1990)
Axelrod, R., Hamilton, W.D.: The evolution of cooperation. Science 211(4489), 1390–1396 (1981)
Batson, C.D., Oleson, K.C.: Current status of the empathy-altruism hypothesis (1991)
Baylor, A.L.: Agent-based learning environments as a research tool for investigating teaching and learning. Journal of Educational Computing Research 26(3), 227–248 (2002)
Baylor, A.L., Kozbe, B.: A Personal Intelligent Mentor for Promoting Metacognition in Solving Logic Word Puzzles (1998)
Bonabeau, E.: Agent-based modeling: Methods and techniques for simulating human systems. Proceedings of the National Academy of Sciences of the United States of America 99(suppl. 3), 7280 (2002)
Brandt, H., Sigmund, K.: The logic of reprobation: assessment and action rules for indirect reciprocation. Journal of Theoretical Biology 231(4), 475–486 (2004)
Chen, S.-H., Yeh, C.-H.: Evolving traders and the business school with genetic programming: A new architecture of the agent-based artificial stock market. Journal of Economic Dynamics and Control 25(3-4), 363–393 (2001), doi: http://dx.doi.org/10.1016/S0165-1889
Cialdini, R.B., Schaller, M., Houlihan, D., Arps, K., Fultz, J., Beaman, A.L.: Empathy-based helping: Is it selflessly or selfishly motivated? Journal of Personality and Social Psychology 52, 749–758 (1987)
Gouldner, A.W.: The norm of reciprocity: A preliminary statement. American Sociological Review, 161–178 (1960)
Lotem, A., Fishman, M.A., Stone, L.: From reciprocity to unconditional altruism through signalling benefits. Proceedings of the Royal Society of London. Series B: Biological Sciences 270(1511), 199–205 (2003)
Macy, M.W., Willer, R.: From factors to actors: Computational sociology and agent-based modeling. Annual Review of Sociology, 143–166 (2002)
Malone, T.W., Lai, K.-Y., Grant, K.R.: Agents for information sharing and coordination: A history and some reflections. Paper presented at the Software Agents (1997)
Nowak, M.A., Sigmund, K.: The dynamics of indirect reciprocity. Journal of Theoretical Biology 194(4), 561–574 (1998)
Smith, K.D., Keating, J.P., Stotland, E.: Altruism reconsidered: The effect of denying feedback on a victim’s status to empathic witnesses. Journal of Personality and Social Psychology 57(4), 641 (1989)
Trivers, R.L.: The evolution of reciprocal altruism. Quarterly Review of Biology, 35–57 (1971)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Ceschi, A., Hysenbelli, D., Sartori, R., Tacconi, G. (2014). Cooperate Or Defect? How an Agent Based Model Simulation on Helping Behavior Can Be an Educational Tool. In: Mascio, T., Gennari, R., Vitorini, P., Vicari, R., de la Prieta, F. (eds) Methodologies and Intelligent Systems for Technology Enhanced Learning. Advances in Intelligent Systems and Computing, vol 292. Springer, Cham. https://doi.org/10.1007/978-3-319-07698-0_24
Download citation
DOI: https://doi.org/10.1007/978-3-319-07698-0_24
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-07697-3
Online ISBN: 978-3-319-07698-0
eBook Packages: EngineeringEngineering (R0)