
Adaptation and Learning in Multi-Agent Systems
Gerhard Weiß, Sandip Sen
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Ecai'96 Workshop Ldais, Budapest, Hungary, August 13,
by Gerhard Weiß
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The complexity of systems studied in distributed artificial intelligence (DAI), such as multi-agent systems, often makes it extremely difficult or even impossible to correctly and completely specify their behavioral repertoires and dynamics. There is broad agreement that such systems should be equipped with the ability to learn in order to improve their future performance autonomously.
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