A Decision-theoretic Intelligent Agent Model
نویسنده
چکیده
Several methods are employed in multi-agent learning and organization problem such as temporal difference (TD(λ)), genetic algorithms, and learning classifier systems. The main disadvantage of these methods is that they perform badly when the data is not fully observable. In this paper, we first introduce explain learning systems in artificial intelligence(AI) and Self-organization systems. Then, we study the structure of self-organization of the intelligent agents, Finally, we design the decision-theoretic intelligent agent system, feedback control and adaptive control.
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تاریخ انتشار 2013