Adaptive expert systems and analogical problem solving

  • H. Harry Zhou
Data And Software Engineering
Part of the Lecture Notes in Computer Science book series (LNCS, volume 468)


Conventional expert systems are "brittle" in the sense that they require substantial human intervention to compensate for even slight variations in descriptions, and break easily when they reach the edge of their knowledge. In response to this problem, this paper describes a prototype of a new generation of expert systems, called an adaptive expert system (AES), which is capable of adapting its knowledge dynamically and analogically. AES combines the focussed power of expert systems with the analogical problem solving abilities of case-based reasoning systems, and demonstrates much higher "IQs" than the expert systems currently available on the market.

Key Words

Analogical problem solving Case-based reasoning Expert systems 


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Copyright information

© Springer-Verlag Berlin Heidelberg 1991

Authors and Affiliations

  • H. Harry Zhou
    • 1
  1. 1.Department of Computer and Information SciencesTowson State UniversityTowsonU.S.A.

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