Iterated prisoner's dilemma for species

  • Authors:

  • Philip Hingston

  • Affiliations:

  • School of Computer and Security Science, Edith Cowan University

  • Venue:
  • CIG'09 Proceedings of the 5th international conference on Computational Intelligence and Games
  • Year:
  • 2009

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Abstract

The Iterated Prisoner's Dilemma (IPD) is widely used to study the evolution of cooperation between self-interested agents. Existing work asks how genes that code for cooperation arise and spread through a single-species population of IPD playing agents. In this paper, we focus on competition between different species of agents. Making this distinction allows us to separate and examine macroevolutionary phenomena. We illustrate with some species-level simulation experiments with agents that use well-known strategies, and with species of agents that use team strategies.