@inproceedings{44ceb5c3cf7b4d57a0d325c6f3556117,
title = "Using misperception to counteract noise in the iterated prisoner's dilemma",
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. {\textcopyright} Springer-Verlag Berlin Heidelberg 2009.",
author = "Lachlan Brumley and Korb, {Kevin Burt} and Carlo Kopp",
year = "2009",
doi = "10.1007/978-3-642-10427-5_6",
language = "English",
isbn = "3642104266",
volume = "5865",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer-Verlag London Ltd.",
pages = "53--62",
editor = "Kevin Korb and Marcus Randall and Tim Hendtlass",
booktitle = "Proceedings of the 4th Australian Conference on Artificial Life: Borrowing from Biology (ACAL 2009)",
address = "Germany",
note = "Australian Conference on Artificial Life 2009 ; Conference date: 01-01-2009",
}