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Scott leads Charles River's Decision Management division, which applies a wide range of Artificial Intelligence and Modeling & Simulation technologies to help people make better decisions. His personal research interests are primarily in building intelligent agents in dynamic, real-time environments. This has led him to work in areas such as real-time agent architectures, emotion modeling, affective decision making, social-behavior modeling, intelligent behavior execution, embedded conversational systems, plan recognition, believable animation, hybrid agent architectures, speech morphing, and interactive scene and narrative management. He is also interested in developing tools to make it possible to build and understand complex, agent-based simulation systems. Scott earned a B.S. in Computer Science from Duke University. He earned his M.S. and Ph.D in Computer Science from Carnegie Mellon University where his research focused on modeling artificially intelligent social and emotional agents. | 