Proceedings of the Korean Institute of Intelligent Systems Conference (한국지능시스템학회:학술대회논문집)

Korean Institute of Intelligent Systems (한국지능시스템학회)
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HYBRID TOOLS IN INTELLIGENT ROBOT CONTROL

  • Kandel, Abraham (Department of Computer Science & Engineering, University of South Florida, Tampa) ;
  • Langholz, Gideon (Department of Electrical Engineering, Tel-Aviv University, Tel-Aviv, Israel) ;
  • Schneider, Mordechay (Department of Computer Science, Florida Institute of Technology Melbourne)
  • Published : 1993.06.01
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Abstract

Machine learning in an uncertain or unknown environment is of vital interest to those working with intelligent systems. The ability to garner new information, process it, and increase the understanding/ capability of the machine is crucial to the performance of autonomous systems. The field of artificial intelligence provides two major approaches to the problem of knowledge engineering-expert systems and neural networks. Harnessing the power of these two techniques in a hybrid, cooperating system holds great promise.

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