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Prisoner Dilemma: A Model Taking into Account Expectancies

In: Systemics of Emergence: Research and Development

Author

Listed:
  • Natale S. Bonfiglio

    (Università di Pavia)

  • Eliano Pessa

    (Università di Pavia)

Abstract

This paper introduces a new neural network model of players’ behavior in iterated Prisoner Dilemma Game. Differently from other models of this kind, but in accordance with theoretical framework of evolutionary game theory, it takes into account players’ expectancies in computation of individual moves at every game step. Such a circumstance, however, led to an increase of the number of model free parameters. It was therefore necessary, to search for optimal parameter values granting for a satisfactory fitting of data obtained in an experiment performed on human subjects, to resort to a genetic algorithm.

Suggested Citation

  • Natale S. Bonfiglio & Eliano Pessa, 2006. "Prisoner Dilemma: A Model Taking into Account Expectancies," Springer Books, in: Gianfranco Minati & Eliano Pessa & Mario Abram (ed.), Systemics of Emergence: Research and Development, pages 707-714, Springer.
    • Handle: RePEc:spr:sprchp:978-0-387-28898-7_50
    DOI: 10.1007/0-387-28898-8_50
    as

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