The Rand Strategy Assessment Center System Perspective,

Abstract

The Rand Strategy Assessment Center (RSAC) is a highly ambitious, multiyear research program to develop a system and methodology that combine the systematic reproducibility of analytic modeling/simulation with the behavioral richness of rule-based artificial intelligence technology. The system combines an adaptive simulation model of precombat and combat operations with three rule-based artificial intelligence agents that represent Red, Blue, and third-country behavior. The adaptive simulation model, called the Force Agent, simulates ground, air, and naval warfare in both conventional and nuclear settings on a theaterwide or global basis. The two superpower agents, Red Agent and Blue Agent, utilize wakeup rules to examine the world situation. Third-country behavior is represented by another rule-based agent--Scenario Agent. This paper examines the relationships among the four agents from the system interface, database management, and system control perspectives. The paper also discusses how the RSAC system can be used to support both automated and interactive war games.

Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1984
Accession Number
ADA152766

Entities

People

  • H. J. Shukiar

Organizations

  • RAND Corporation

Tags

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Combat Operations
  • Databases
  • Knowledge Management
  • Naval Warfare
  • Reproducibility
  • Simulations
  • War Games
  • Warfare

Readers

  • Defense Technology Research and Development.
  • Distributed Systems and Data Platform Development
  • Game Theory.

Technology Areas

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