Abstract
The iterated prisoner’s dilemma (IPD) has been used as a model for investigating cooperation in nature. Here, we present an analysis of the evolution of reciprocal cooperation in a dynamically simulated environment in which individual agents are free to move in space, interacting with their nearest neighbors in fixed-length IPD games. Agents aim to avoid those against whom they score poorly, and to seek out those against whom they score highly. Individuals are modeled using finite state machines, allowing us to extend previous work on kin group markers. Though they have no direct effect on an individual’s strategy, such markers do lead to the emergence of coherent, mutually-cooperating sub-populations.
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Frayn, C., Pryke, A., Chong, S.Y. (2006). Exploring the Effect of Proximity and Kinship on Mutual Cooperation in the Iterated Prisoner’s Dilemma. In: Runarsson, T.P., Beyer, HG., Burke, E., Merelo-Guervós, J.J., Whitley, L.D., Yao, X. (eds) Parallel Problem Solving from Nature - PPSN IX. PPSN 2006. Lecture Notes in Computer Science, vol 4193. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11844297_71
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DOI: https://doi.org/10.1007/11844297_71
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-38990-3
Online ISBN: 978-3-540-38991-0
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