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Please use this identifier to cite or link to this item: http://hdl.handle.net/1783.1/6521
Title: Partial imitation rule in iterated prisoner dilemma game on a square lattice
Authors: Wu, Degang
Antony, Mathis A.
Szeto, Kwok-Yip
Keywords: Evolutionary game
Imitation rule
Prisoner dilemma
Issue Date: 2010
Citation: Nature Inspired Cooperative Strategies for Optimization (NICSO 2010), Studies in Computational Intelligence, v. 284, 2010, p. 141-150
Abstract: A realistic replacement of the general imitation rule in the Iterated Prisoner Dilemma (IPD) is investigated with simulation on square lattice, whereby the player, with finite memory, can only imitate those behaviors of the opponents observed in past games. In contrast to standard practice where all the possible behaviors of the opponents are accessible, the new partial imitation rule assumes that the player can at most access those behaviors of his opponent observed in the past fewmoves. This partial imitation of the behavior in IPD shows very different out-comes in the long time behavior of the games, such as the ranking of various strategies. In particular, the well known tit-for-tat (TFT) strategy loses its importance.
Rights: The original publication is available at http://www.springerlink.com/
URI: http://hdl.handle.net/1783.1/6521
Appears in Collections:PHYS Conference Papers

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