Acquiring Consistent Knowledge for Bayesian Forests.

Abstract

This thesis develops a methodology and a tool for knowledge acquisition with the new probabilistic knowledge representation-the Bayesian Forest. It establishes the structure of the Knowledge Acquisition and Maintenance module of the Probabilities. Expert Systems, Knowledge and Inference (PESKI) architecture. The tool, MACK, is designed to be used directly by the domain expert(s) rather than by knowledge engineer(s), and thus supports automated knowledge acquisition. This research determines and implements the constraints necessary to ensure the consistency of Bayesian Forest knowledge bases as data is both acquired and subsequently maintained. The impact to the PESKI architecture of time-dependent information and default assumptions during reasoning is also explored. The tool has been applied to NASA's Post-Test Diagnostics System which locates anomalies aboard the Space Shuttles' Main Engines. (AN)

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1995
Accession Number
ADA293858

Entities

People

  • Darwyn O. Banks

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • C4I
  • Energy and Power Technologies
  • Materials and Manufacturing Processes
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Algorithms
  • Artificial Intelligence
  • Artificial Intelligence Computing
  • Bayesian Networks
  • Computer Languages
  • Computer Programming
  • Computer Programs
  • Computer Science
  • Computers
  • Databases
  • Expert Systems
  • Random Variables
  • Reasoning
  • Robotics
  • Simplex Method
  • Time Intervals

Readers

  • Aerospace Test and Evaluation
  • Artificial Intelligence
  • Computational Modeling and Simulation

Technology Areas

  • AI & ML
  • Space