Applying Artificial Intelligence Techniques to Strategic-Level Gaming and Simulation

Abstract

This paper describes a large-scale program melding rule-based modelling and traditional simulation in the problem domain of game-structured military strategic analysis. It then draws on the program's experience to discuss paradigms from artificial intelligence, concepts and techniques for representing knowledge in a policy domain having no body of acknowledged experts or experimental data, and lessons from managing the related research and software development. Finally, it discusses implications for the ability to reflect in policy analysis concepts of bounded rationality and organizational behavior. (rrh)

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1988
Accession Number
ADA216897

Entities

People

  • Paul K. Davis

Organizations

  • RAND Corporation

Tags

Communities of Interest

  • C4I
  • Counter WMD
  • Human Systems

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence
  • Artificial Intelligence Software
  • Cognitive Science
  • Command And Control
  • Computer Programming
  • Computer Programs
  • Computer Science
  • Computers
  • Expert Systems
  • Language
  • Operating Systems
  • Personality
  • Programming Languages
  • Software Development
  • Strategic Analysis
  • War Games

Fields of Study

  • Computer science

Readers

  • Systems Analysis and Design
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy