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The Localisation of Interaction and Learning in the Repeated Prisoner's Dilemma

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Author Info

  • Robert Hoffmann
  • Nigel Waring

Abstract

The evolution of cooperation in the repeated prisoner's dilemma depends on the conditions under which the game is played. The results of a series of computer simulations show that the emergence of cooperative play in the game is strongly affected by the localisations of both interaction and learning. While the localisation of learning promotes mutual cooperation, the localisation of interaction has an ambiguous effect on it. Moreover, the localisation of learning seems to promote disequilibrium behaviour in the system.

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Bibliographic Info

Paper provided by Santa Fe Institute in its series Working Papers with number 96-08-064.

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Date of creation: Aug 1996
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Handle: RePEc:wop:safiwp:96-08-064

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Postal: 1399 Hyde Park Road, Santa Fe, New Mexico 87501
Web page: http://www.santafe.edu/sfi/publications/working-papers.html
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Related research

Keywords: Prisoner's dilemma; neighbourhoods; genetic algorithms; finite automata;

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Cited by:
  1. Oded Stark & Doris Behrens, 2011. "In search of an evolutionary edge: trading with a few, more, or many," Journal of Evolutionary Economics, Springer, vol. 21(5), pages 721-736, December.
  2. Rick L. Riolo, 1997. "The Effects of Tag-Mediated Selection of Partners in Evolving Populations Playing the Iterated PrisonerÕs Dilemma," Working Papers 97-02-016, Santa Fe Institute.
  3. Klos, Tomas B., 1997. "Decentralized interaction and co-adaptation in the repeated prisoner's dilemma," Research Report 97B33, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
  4. Michael D. Cohen & Rick L. Riolo & Robert Axelrod, 1999. "The Emergence of Social Organization in the Prisoner's Dilemma: How Context-Preservation and Other Factors Promote Cooperation," Working Papers 99-01-002, Santa Fe Institute.
  5. Robert Hoffmann, 2001. "The Ecology of Cooperation," Theory and Decision, Springer, vol. 50(2), pages 101-118, March.

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