Senior Scientist
Received a PhD in Computer Science and Engineering from the University of Michigan. His doctoral research focused on maintaining logical consistency in agent reasoning systems, and his innovations were incorporated in the Soar architecture. Prior to joining Soar Technology, Dr. Wray held the position of Assistant Professor of Computer Science at Middle Tennessee State University. At Soar Technology, he leads or has led R&D projects for the Air Force and Navy research offices, and the Defense Advanced Research Projects Agency. Dr. Wray's research encompasses many areas of artificial intelligence, including agent-based systems and agent architectures, machine learning, cognitive science and knowledge representation and ontology.
Jones, R. and Wray, R., (2006) "Comparative analysis of frameworks for knowledge-intensive agents," AI Magazine.
Magerko, B., Wray, R., Holt, L. and Stensrud, B., (2005) "Customizing interactive training through individualized content and increased engagement," Proceedings of the Interservice/Industry Training, Simulation and Education Conference (I/ITSEC) 2005, Orlando, FL. National Training Systems Association.
Wray, R., van Lent, M., Beard, J. and Brobst, P., (2005) "The design space of control options for ais in computer games," Proceedings of the IJCAI 2005 Workshop on Reasoning, Representation, and Learning in Computer Games, Edinburgh, Scotland.
Wray, R. and Chong, R., (2005) "Comparing cognitive models and human behavior representations: Computational tools for expressing human behavior," Proceedings of the Infotech@Aerospace 2005 Conference, Arlington, VA. American Institute of Aeronautics and Astronautics.
Wray, R. and Jones, R., (2005) "Considering Soar as an agent architecture," Cognition and Multi-agent Interaction: From Cognitive Modeling to Social Simulation, R. Sun (Ed.); 53-78, Cambridge, UK: Cambridge University Press.
©2008 Soar Technology, Inc. All rights reserved
Legal Notice | Site Map