Abstract
Evolution of game strategies is studied in the Erroneous Iterated Prisoner's Dilemma game, in which a player sometimes decides on an erroneous action contrary to his own strategy. Erroneous games of this kind have been known to lead to the evolution of a variety of strategies. This paper describes genetic fusion modeling as a particular source of new strategies. Successive actions are chosen according to strategies having finite memory capacity, and strategy algorithms are elaborated by genetic fusion. Such a fusion process introduces a rhizome structure in a genealogy tree. Emergence of module strategies functions as innovative source of new strategies. How the extinction of strategies and module evolution leads to ESS-free open-ended evolution is also discussed.
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