The impact of noise on iterated prisoner's dilemma with multiple levels of cooperation

Siang Yew CHONG; Xin YAO

doi:10.1109/CEC.2004.1330878

The impact of noise on iterated prisoner's dilemma with multiple levels of cooperation

Siang Yew CHONG, Xin YAO

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Research › peer-review

13 Citations (Scopus)

Abstract

Real world dilemmas rarely involved just two choices and perfect interactions without mistakes. In extending the realism of the Iterated Prisoner's Dilemma (IPD) game, prior evolutionary approaches included intermediate choices or mistakes (noise). This study takes a step further using a co-evolving population of neural networks playing the IPD game with both intermediate choices and noise. Several issues will be addressed, which include the evolution of cooperation and the evolutionary stability in the presence of noise and more choices. Our experimental study shows that noise has a negative impact on the evolution of cooperation, but could improve, surprisingly, the evolutionary stability.

Original language	English
Title of host publication	Proceedings of the 2004 Congress on Evolutionary Computation, CEC2004
Publisher	IEEE
Pages	348-355
Number of pages	8
Volume	1
ISBN (Print)	9780780385153, 0780385152
DOIs	https://doi.org/10.1109/CEC.2004.1330878
Publication status	Published - 2004
Externally published	Yes

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The impact of noise on iterated prisoner's dilemma with multiple levels of cooperation

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