An Intelligent Control Strategy for Computer Consultation.

Abstract

The heart of a computerized expert system such as MYCIN or PROSPECTOR, is embodied in an inference network of associated propositions. Inference networks are organized with rules that direct the propagation of information. A top proposition under consideration is updated by depth-first traversal of the entire networks in many current systems. We have applied the concept of 'merit' to consultant systems to direct this network traversal. Merit values force a limited best-first traversal of the inference network, requesting only the most pertinent ifnormation from the user. The notion of merit previously used in the MULTIPLE system has been extended to the MYCIN style of propagation and to the subjective Bayesian updating used in PROSPECTOR. In addition, we propose a general mechanism for merit calculation with any differentiable updating scheme. Merits will provide an intelligent, efficient mechanism for controlling new, more versatile expert consultant systems. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Apr 08, 1982
Accession Number
ADA113388

Entities

People

  • E. Halpern
  • Jonathan E. Slagle

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • C4I
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence
  • Celestial Brightness
  • Computations
  • Computers
  • Costs
  • Databases
  • Equations
  • Expert Systems
  • Intelligent Systems
  • Interpolation
  • Mathematical Analysis
  • Military Research
  • Probability
  • Reasoning
  • Rule Based Systems
  • Weighting Functions

Fields of Study

  • Computer science

Readers

  • Applied Combinatorial Optimization and Logic Circuit Design.
  • Neural Network Machine Learning.
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - Machine Learning Algorithms