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[Neural Networks and Evolution of Cooperation]

Neural networks Java AI Simulation models Date: Jan 2011

DOWNLOAD PAPER DOWNLOAD CODE RUN JAVA APPLET
Technologies used: Java, JFreeChart, Ant Script, Model-View-Controller, Git

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, described here for the first time.

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

The network schema


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