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 (Force Agent) of precombat and combat operations with three rule-based artificial intelligence agents that represent the two superpowers (Red Agent and Blue Agent), and third-country behavior (Scenario Agent). This paper examines the relationships among the four agents from the system interface, database management, and system control perspectives, and discusses how the RSAC system can be used to support both automated and interactive war games.
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