Senior Scientist
Is the scientific lead for a variety of Soar Technology's intelligent agent projects, as well as internal research and development. Dr. Jones has worked with a variety of agent architectures and models, participating in the TacAir-Soar project since its inception, where he wrote the first implementation of the TacAir-Soar system. He has over 15 years of experience researching agent architectures, machine and human learning, graphical user interfaces, cognitive modeling, and a variety of related areas. Dr. Jones was formerly Assistant Professor and Chair of Computer Science at Colby College, and previously held research positions at the University of Michigan, the University of Pittsburgh, and Carnegie Mellon University. His current research focuses on architectures for heavy intelligent agents, computational models of human learning and problem solving, executable psychological models, computer games, automated intelligent actors, and improved usability and visualization in information systems. He received a BS degree (1984) in Mathematics and Computer Science at UCLA, and MS (1987) and PhD (1989) degrees from the Department of Information and Computer Science at the University of California, Irvine.
Crossman, J., Jones, R., Lebiere, C. and Best, B., (2006) "An abstract language for cognitive modeling," Proceedings of the Seventh International Conference on Cognitive Modeling, Trieste, Italy.
Jones, R. and Wray, R., (2006) "Comparative analysis of frameworks for knowledge-intensive agents," AI Magazine.
Jones, R. and Langley, P., (2005) "A constrained architecture for learning and problem solving," Computational Intelligence.
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.
Jones, R., Wray, R. and Scheutz, M., (2005) "Intelligent agent architectures: Combining the strengths of software engineering and cognitive systems. Report for the workshop program at the Nineteenth National Conference on Artificial Intelligence," AI Magazine, 26(1).
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