Accession Number : ADA311022
Title : Acquiring Consistent Knowledge.
Descriptive Note : Technical rept.,
Corporate Author : AIR FORCE INST OF TECH WRIGHT-PATTERSON AFB OH SCHOOL OF ENGINEERING
Personal Author(s) : Santos, Eugene, Jr. ; Banks, Darwyn O.
PDF Url : ADA311022
Report Date : 03 JAN 1996
Pagination or Media Count : 40
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.
Descriptors : *KNOWLEDGE BASED SYSTEMS, DATA BASES, ALGORITHMS, UNCERTAINTY, SYSTEMS ENGINEERING, DATA MANAGEMENT, TIME DEPENDENCE, PROBABILITY DISTRIBUTION FUNCTIONS, RANDOM VARIABLES, REASONING, SEMANTICS, EFFICIENCY, LEARNING MACHINES, SPACE SHUTTLES, DATA ACQUISITION, COMPUTER APPLICATIONS, SYSTEMS ANALYSIS, BAYES THEOREM, COMPUTER PROGRAM VERIFICATION, COMPUTER AIDED DIAGNOSIS, OBJECT ORIENTED PROGRAMMING.
Subject Categories : Cybernetics
Distribution Statement : APPROVED FOR PUBLIC RELEASE