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[Neural Networks and Evolution of Cooperation]

Project date: Jan 2011
Tags: Java :: AI :: A-Life :: neural networks

The paper investigates artificial evolution of cooperation in the Iterated Prisoner's Dilemma using a number of player implementations. Existing strategy encoding and neural network models are compared with action-discriminating neural network created during writing of this paper.

Evaluation is performed in terms of number of generations needed for reaching a desired cooperation level as well as the nature of evolved strategies. Examples when the action-discriminating model evolved the most beneficent strategies are given.

Keywords:
Iterated Prisoner's Dilemma, evolution of cooperation, strategies, interaction, neural networks
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