An Expert System Model Using Predicate Transition Nets,

Abstract

A Predicate Transition Net model of expert systems with fuzzy logic is proposed as a means for dealing with uncertainty. Attention is focused on consultant expert systems which use the production rules formalism to represent knowledge. Models of the basic fuzzy logical operators are presented base on the Predicate Transition Nets formalism. The combination of these operators allows to represent the links among the rules of a knowledge base and to simulate dynamically the behavior of an expert system in its search for a solution to a problem in its domain to expertise. Finally, two applications of this model are described: assessment of parallelism in a knowledge base and the evaluation of time-related measures for expert systems.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1988
Accession Number
ADA191953

Entities

People

  • Alexander H. Levis
  • Didier M. Perdu

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Computations
  • Computers
  • Connectors
  • Delta Wings
  • Expert Systems
  • Fighter Aircraft
  • Fuzzy Logic
  • Inference Engines
  • Language
  • Logic
  • Military Research
  • Numbers
  • Petri Nets
  • Production
  • Simulations
  • Standards
  • Transitions

Fields of Study

  • Computer science

Readers

  • Computational Linguistics
  • Computational Modeling and Simulation