Using Machine Learning Techniques in Complex Multi-Agent Domains

A challenging current research direction is the design of intelligent software systems — ‘agents’ — that are able to autonomously solve certain tasks within their environment. Application areas of software agents can be found in robotics, as for example agents that control robots to rescue people in dangerous environments, and also in virtual worlds as electronic markets, where intelligent agents have to compete against other market participants, that pursue their own goals.

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