Model-Based Evaluation of Long-Range Resource Allocation Plans.

Abstract

This report evaluated three methods for reviewing long range resource allocation plans; two based on rules with qualitative arithmetic and one based on a microeconomic model combined with quantitative reasoning and a search procedure. Evaluating a resource plan may be viewed as a process by which a reviewer compares what he knows or believes to what he is told by the numbers in a plan. For a computer program to perform such comparisons, it must use some representation of a reviewer's knowledge and beliefs. While initial representation of this knowledge in this study was in terms of if-then rules, relatively simple linear-equation models could be used to encode the same information at a more fundamental, structural level. In the study an algorithm was developed for exploring equational models, and the influence measure necessary to make quantitative, but still approximate, inferences from them. (Keywords: Expert systems; Knowledge engineering; Rule-based systems; REMUS; Logic.)

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1985
Accession Number
ADA166347

Entities

People

  • Ben P. Wise
  • Donald W. Kosy

Organizations

  • Carnegie Mellon University

Tags

Communities of Interest

  • C4I

DTIC Thesaurus Topics

  • Acquisition
  • Arithmetic
  • Artificial Intelligence
  • Classification
  • Computer Programming
  • Computer Programs
  • Computers
  • Costs
  • Equations
  • Expert Systems
  • Industrial Plants
  • Inventory
  • Manufacturing
  • Money
  • Production
  • Productivity
  • Reasoning

Readers

  • Artificial Intelligence
  • Computational Modeling and Simulation

Technology Areas

  • AI & ML
  • AI & ML - Machine Learning Algorithms