BDM-KAT; Report of Research Results

Abstract

The BDM-KAT project was initiated to address specific critical needs for rapid development of knowledge bases to support intelligent materials processing systems. An initial premise of the BDM-KAT project was that experts across the general field of materials processing use common types of knowledge and similar reasoning mechanisms. The development of a tool specifically oriented toward knowledge engineering for material processing. Two versions of BDM-KAT were developed from different underlying paradigms. The lessons learned from the first version were of significant valued in developing version 2.0. The 2.0 version of BDM-KAT was developed from a cognitive psychology model of human knowledge representation and reasoning based on the general body of literature in human cognition. Three tools, Categorizer, Time Mapper, and Causal Charter have been prototyped and used in preliminary knowledge acquisition for an intelligent process controller for Hot Isostatic Pressing (HIP). Both the volume of information collected and structured and the value of that knowledge for the developing controller attest to the value of the concepts implemented in BDM-KAT version 2.0.

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Document Details

Document Type
Technical Report
Publication Date
Mar 31, 1990
Accession Number
ADA223035

Entities

People

  • Brian G. Kushner
  • Juliana S. Lancaster

Organizations

  • Braddock Dunn & McDonald

Tags

Communities of Interest

  • C4I
  • Engineered Resilient Systems
  • Ground and Sea Platforms
  • Sensors
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Artificial Intelligence Software
  • Cognition
  • Cognitive Science
  • Computational Science
  • Computer Languages
  • Computer Programming
  • Computer Programs
  • Computers
  • Control Systems
  • Database Management Systems
  • Expert Systems
  • Information Systems
  • Materials
  • Materials Processing
  • Materials Science
  • Psychology

Readers

  • Artificial Intelligence
  • Materials Science (Mechanical Engineering).
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.