Accession Number:
ADA238834
Title:
Assessment of Model Generative Reasoning for Use in the Intelligence Production Performance Model
Descriptive Note:
Final rept. Aug-Dec 90,
Corporate Author:
NEW MEXICO STATE UNIV LAS CRUCES KNOWLEDGE SYSTEMS GROUP
Personal Author(s):
Report Date:
1991-06-01
Pagination or Media Count:
25.0
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.
Descriptors:
Subject Categories:
- Psychology