This paper describes a large-scale program melding rule-based modeling and traditional simulation in the problem domain of game-structured military strategic analysis in the RAND Strategy Assessment Center. 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 concepts of bounded rationality and organizational behavior in policy analysis.
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