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Four general representations and processes for use in problem solving

  • Knowledge Representation
  • Conference paper
  • First Online:
Knowledge Based Computer Systems (KBCS 1989)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 444))

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Abstract

It is argued that “knowledge representation” as normally understood is one of four very general constructs — two representations and two processes — which are commonly used in artificial intelligence (AI) research yet are largely unrecognised. These constructs mirror much of the “generate-and-test” strategy for problem solving in AI where competing solutions are generated and then tested to select the best one — except that one of the constructs, “coherence representation,” is not present in the strategy. Examples of various problems are given that show uses of the constructs. Some implications for artificial intelligence research of the constructs, especially coherence representation, are discussed.

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Authors and Affiliations

  1. Centre for Systems Science, Simon Fraser University, V5A 1S6, Burnaby, British Columbia, Canada

    Dan Fass

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  1. Dan Fass
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Editor information

S. Ramani R. Chandrasekar K. S. R. Anjaneyulu

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© 1990 Springer-Verlag Berlin Heidelberg

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Fass, D. (1990). Four general representations and processes for use in problem solving. In: Ramani, S., Chandrasekar, R., Anjaneyulu, K.S.R. (eds) Knowledge Based Computer Systems. KBCS 1989. Lecture Notes in Computer Science, vol 444. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0018377

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  • DOI: https://doi.org/10.1007/BFb0018377

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-52850-0

  • Online ISBN: 978-3-540-47168-4

  • eBook Packages: Springer Book Archive

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