Acquiring Consistent Knowledge.

Abstract

We develop a new methodology and tool for knowledge acquisition under uncertainty. A new knowledge representation called Bayesian Knowledge Bases provides a powerful key to our approach and is well-grounded in probability theory. In this paper, we demonstrate the ease and flexibility with which knowledge acquisition can be accomplished while ensuring the consistency of the knowledge base as data is both acquired and subsequently maintained. Furthermore, we handle issues such as temporal and default reasoning. We present the MACK tool and apply it to NASA's Post-Test Diagnostics System which locates anomalies aboard the Space Shuttles' Main Engines.

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Document Details

Document Type
Technical Report
Publication Date
Jan 03, 1996
Accession Number
ADA311022

Entities

People

  • Darwyn O. Banks
  • Eugene Santos

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Biomedical
  • C4I
  • Materials and Manufacturing Processes
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence
  • Bayesian Networks
  • Consistency
  • Databases
  • Detectors
  • Engineering
  • Engineers
  • Expert Systems
  • Inference Engines
  • Liquid Oxygen
  • Probabilistic Models
  • Probability
  • Probability Distributions
  • Random Variables
  • Reasoning
  • Space Shuttles

Fields of Study

  • Computer science

Readers

  • Aerospace Test and Evaluation
  • Artificial Intelligence

Technology Areas

  • AI & ML
  • Space
  • Space - Space Objects