Using genetic algorithms for simulation of social dilemmas

Ilan Fischer

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

1 Scopus citations

Abstract

Studying social dilemmas and their underlying behavioral, cognitive, and evolutionary constructs is a more complicated challenge than most laboratory experiments or empirical data collection methods can meet. In contrast to those behaviors observed in a well defined laboratory setting, naturally occurring social dilemmas have a high level of complexity, interdependencies, and many non-linear links. Over the last three decades, several attempts have been made to study intricate social interactions by using computer simulations. A well-known study conducted by Robert Axelrod (1980a, b, 1981, 1984) examined the evolution of cooperation among agents who played a repeated prisoner's dilemma game in a heterogeneous population. This seminal work inspired many more studies in diverse social science domains (see, for example, Latane & Novak's (1997) study of attitude change, Fischer & Suleiman's (1997) study of the evolution of intergroup cooperation, or Axelrod's (1986) and Saam & Harrer's (1999) studies on the influence of social norms).

Original languageEnglish
Title of host publicationNew Issues and Paradigms in Research on Social Dilemmas
PublisherSpringer
Pages252-264
Number of pages13
ISBN (Print)9780387725956
DOIs
StatePublished - 1 Dec 2008
Externally publishedYes

ASJC Scopus subject areas

  • Social Sciences (all)
  • Arts and Humanities (all)

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