Machine Learning for Logic-Based Multi-agent Systems

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DatePublished - 2000
Original languageUndefined/Unknown

Abstract

When developing a Multi-Agent System (MAS), it is very difficult and sometimes even impossible to foresee all potential situations the agents could encounter and specify their behaviour in advance. Therefore it is widely recognised that one of the more important features of high level agents is their capability to adapt and learn.

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