Accession Number : ADA293858

Title :   Acquiring Consistent Knowledge for Bayesian Forests.

Descriptive Note : Master's thesis,

Corporate Author : AIR FORCE INST OF TECH WRIGHT-PATTERSON AFB OH SCHOOL OF ENGINEERING

Personal Author(s) : Banks, Darwyn O.

PDF Url : ADA293858

Report Date : MAR 1995

Pagination or Media Count : 101

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)

Descriptors :   *NEURAL NETS, *KNOWLEDGE BASED SYSTEMS, DATA BASES, ALGORITHMS, COMPUTATIONS, DATA MANAGEMENT, TIME DEPENDENCE, REAL TIME, RANDOM VARIABLES, STATISTICAL INFERENCE, REASONING, COMPUTER ARCHITECTURE, EFFICIENCY, THESES, SPACE SHUTTLES, DATA ACQUISITION, EXPERT SYSTEMS, BAYES THEOREM, SUBROUTINES, COMPUTER AIDED DIAGNOSIS, AUTOMATIC, NATURAL LANGUAGE.

Subject Categories : Cybernetics

Distribution Statement : APPROVED FOR PUBLIC RELEASE