Assessment of Model Generative Reasoning for Use in the Intelligence Production Performance Model

Abstract

This report assesses the applicability of the enhanced-Model Generative Reasoning (e-MGR) problem-solving architecture for supplying the information processing mechanisms for the Intelligence Production Performance Model (IPPM). The independent variables controlling error performance in the IPPM have analogical relationships with the operators in the e-MGR. A software demonstration illustrates the integration of e-MGR and IPPM to produce context changes resulting from errors in hypothesis generation. The e-MGR can provide a suitable set of mechanisms for augmenting the IPPM. The e-MGR mechanisms can dynamically sketch the etiology of errors and their decision efforts.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1991
Accession Number
ADA238834

Entities

People

  • Heather D. Pfeiffer
  • Michael J. Coombs
  • Roger T. Hartley

Organizations

  • New Mexico State University

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Classification
  • Cognition
  • Databases
  • Demonstrations
  • Environment
  • Information Processing
  • Information Science
  • Intelligence Analysis
  • Intelligence Products
  • Lisp Programming Language
  • Military Research
  • New Mexico
  • Production
  • Reasoning
  • Security
  • Social Sciences

Readers

  • Artificial Intelligence