The Evaluation of Expert System Shells

Abstract

This paper documents efforts to implement the Artificial Intelligence Measurement System (AIMS) model for expert system shells. The report explains the strategy, provides a review of the literature, and summarizes efforts of a case study of knowledge engineering, first using M-1 and then NEXPERT. The problem domain selected was intended to be a well-structured problem, the selection of an appropriate reliability index for criterion reference tests.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1991
Accession Number
ADA233496

Entities

People

  • Dean A. Slawson
  • Eva L. Baker
  • John R. Novak

Organizations

  • University of California, Los Angeles

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Artificial Intelligence
  • California
  • Coding
  • Cognitive Science
  • Computer Programming
  • Computer Programs
  • Computers
  • Contracts
  • Databases
  • Debugging
  • Education
  • Engineers
  • Military Research
  • Observation
  • Reliability
  • Software Development
  • Software Metrics

Fields of Study

  • Engineering

Readers

  • Artificial Intelligence
  • Instructional Design and Training Evaluation.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - DoD AI Strategy