Evolution of Communication Between Genetic Agents
نویسندگان
چکیده
We studied how communication evolves in a genetic based Multi-Agent System using an Adapted Pittsburgh style Classifier System. This work is an extension of a Minimal Model of Communication which consists in making two agents communicating through a medium of communication and playing a naming game with a limited number of situations to recognize. We complexify that model by increasing both the number of agents within the MultiAgent System and the number of words that can be used by agents.
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تاریخ انتشار 2004