Machine Learning for Logic-Based Multi-agent Systems

Eduardo Alonso, Daniel Kudenko

Research output: Contribution to conferencePaperpeer-review


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.
Original languageUndefined/Unknown
Publication statusPublished - 2000

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