Eliciting Knowledge from Military Experts: An Associative Network Approach

Abstract

For this report, pathfinder and hierarchical cluster analyses were used to analyze knowledge elicited from military intelligence experts. researchers derived associative networks for both individual and average data sets. Judges also graded the different networks. Results indicated that the networks were a reasonable representation of the military intelligence domain examined. In addition, the judges preferred the average network over their own networks. The techniques may provide a means to describe individual mental models in order to study differences in performance attributed to individual differences.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1991
Accession Number
ADA238832

Entities

People

  • James B. Mcdonald

Organizations

  • New Mexico State University

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Abstracts
  • Air Force
  • Cognitive Science
  • Cognitive Systems Engineering
  • Computer Programming
  • Computers
  • Data Sets
  • Engineers
  • Expert Systems
  • Graph Theory
  • Information Processing
  • Intelligence Domains
  • Judgment
  • Military Intelligence
  • Psychology
  • Security
  • Social Sciences

Fields of Study

  • Psychology

Readers

  • Artificial Intelligence
  • Regression Analysis.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.