# G. Wei, S. Sen (eds.): Adaptation and Learning in Multiagent Systems. Berlin: Springer Verlag, 1996  Home/Search   Document Not in Database   Summary   Related Articles   Check

....to deal with them. The techniques presented are not exhaustive, but they highlight how multiagent systems can be and have been used to build complex systems. Because of the inherent complexity of MAS, there is much interest in using Machine Learning techniques to help deal with this complexity [3, 4]. When several different systems exist that could illustrate the same or similar MAS techniques, the systems presented here are biased towards those that use Machine Learning (ML) approaches. Furthermore, every effort is made to highlight additional opportunities for applying ML to MAS. Although ....

....the less general term, entities: Distributed Artificial Intelligence (DAI) is concerned with the study and design of systems consisting of several interacting entities which are logically and often spatially distributed and in some sense can be called autonomous and intelligent. Gerhard Wei [3] Because of the emphasis on information management in the past, DAI has been decomposed into Parallel AI and Distributed Expert Systems, the latter of which was broken into Distributed Knowledge Sources and Distributed Problem Solving (DPS) 7] However, these days people tend to break DAI systems ....

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G. Weiß and S. Sen, eds., Adaptation and Learning in Multiagent Systems. Berlin: Springer Verlag, 1996.

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# G. Wei, S. Sen (eds.): Adaptation and Learning in Multiagent Systems. Berlin: Springer Verlag, 1996

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