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Abstract:
One of the most significant applications of constraintdirected reasoning to the design of intelligent agents is its extremely broad and general mechanisms for knowledge representation. This paper explores the use of constraint-directed reasoning as a foundation for realtime intelligent agents in complex domains, and describes an architecture that employs constraintdirected reasoning to deal with both high and low-level aspects of agent functionality. It represents both a summary of work performed to date, as well as work in progress.