Using misperception to counteract noise in the iterated prisoner's dilemma

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Abstract

The Iterated Prisoner's Dilemma is a game-theoretical model which can be identified in many repeated real-world interactions between competing entities. The Tit for Tat strategy has been identified as a successful strategy which reinforces mutual cooperation, however, it is sensitive to environmental noise which disrupts continued cooperation between players to their detriment. This paper explores whether a population of Tit for Tat players may evolve specialised individual-based noise to counteract environmental noise. We have found that when the individual-based noise acts similarly to forgiveness it can counteract the environmental noise, although excessive forgiveness invites the evolution of exploitative individual-based noise, which is highly detrimental to the population when widespread. © Springer-Verlag Berlin Heidelberg 2009.

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Brumley, L., Korb, K. B., & Kopp, C. (2009). Using misperception to counteract noise in the iterated prisoner’s dilemma. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5865 LNAI, pp. 53–62). https://doi.org/10.1007/978-3-642-10427-5_6

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