Exploring the effect of proximity and kinship on mutual cooperation in the iterated prisoner's dilemma

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

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.

Original languageEnglish
Title of host publicationParallel Problem Solving from Nature, PPSN IX - 9th International Conference, Procedings
PublisherSpringer Verlag
Pages701-710
Number of pages10
ISBN (Print)3540389903, 9783540389903
DOIs
Publication statusPublished - 2006
Externally publishedYes
Event9th International Conference on Parallel Problem Solving from Nature, PPSN IX - Reykjavik, Iceland
Duration: 9 Sept 200613 Sept 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4193 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference9th International Conference on Parallel Problem Solving from Nature, PPSN IX
Country/TerritoryIceland
CityReykjavik
Period9/09/0613/09/06

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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