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Support Logic Programming

  • J. F. Baldwin
Chapter
Part of the NATO ASI Series book series (ASIC, volume 177)

Abstract

This paper describes a support logic programming system which uses a theory of support pairs to model various forms of uncertainty.

It should find application to designing expert systems and is of a query language type like Prolog. Uncertainty associated with facts and rules is represented by a pair of supports and uses ideas from Zadeh’s fuzzy set theory and Shafer’s evidence theory. A calculus is derived for such a system and various models of interpretation given. The paper provides a form of knowledge representation and inference under uncertainty suitable for expert systems and a closed world assumption is not assumed. Facts not in the knowledge base are uncertain rather than assumed to be false.

Keywords

Support Logic Vote Pattern Material Implication Closed World Assumption Necessity Measure 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© D. Reidel Publishing Company 1986

Authors and Affiliations

  • J. F. Baldwin
    • 1
  1. 1.University of Bristol (I.T.R.C)BristolGreat Britain

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