Non-Trivial Solutions to the N-Person Prisoners' Dilemma

Miklos N Szilagyi, Zoltan C. Szilagyi

Research output: Contribution to journalArticle

11 Citations (Scopus)

Abstract

We have developed a new agent-based simulation tool to model social dilemmas for the case of a large number of not necessarily rational decision-makers (Szilagyi and Szilagyi, 2000). The combination of various personalities with stochastic learning makes it possible to simulate the multi-person Prisoners' Dilemma game for realistic situations. A variety of personality profiles and their arbitrary combinations can be represented, including agents whose probability of cooperation changes by an amount proportional to its reward from the environment. For the case of such agents the game has non-trivial but remarkably regular solutions. We discuss a method and present an algorithm for making accurate advance predictions of these solutions. We also propose our model as a viable approach for the study of populations of cells, organisms, groups, organizations, communities, and societies. It may lead to better understanding of the evolution of cooperation in living organisms, international alliances, sports teams, and large organizations.

Original languageEnglish (US)
Pages (from-to)281-290
Number of pages10
JournalSystems Research and Behavioral Science
Volume19
Issue number3
DOIs
StatePublished - May 2002

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prisoner
personality
social dilemma
team sports
human being
reward
decision maker
Sports
simulation
present
Cells
society
learning
community
Group
Organism
Prisoners' dilemma
International alliances
Prediction
Social dilemma

ASJC Scopus subject areas

  • Management of Technology and Innovation
  • Strategy and Management
  • Social Sciences(all)

Cite this

Non-Trivial Solutions to the N-Person Prisoners' Dilemma. / Szilagyi, Miklos N; Szilagyi, Zoltan C.

In: Systems Research and Behavioral Science, Vol. 19, No. 3, 05.2002, p. 281-290.

Research output: Contribution to journalArticle

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