333 Ravenswood Avenue
Menlo Park, CA 94025-3493
Phone: (650) 859-4347
Fax: (650) 859-3735
Alumnus of the Artificial Intelligence Center
This project developed: 1) cognitive aids that allow humans and machines to "think together" in real-time about complicated problems; 2) techniques to overcome the biases and limitations of the human cognitive system; 3) "cognitive amplifiers" that help teams of people rapidly and fully comprehend complicated and uncertain situations; and, 4) the means to rapidly and seamlessly cut across and complement existing hierarchical organizational structures.
Angler is a tool that helps intelligence/policy professionals explore, understand, and overcome cognitive biases, and collaboratively expand their joint cognitive vision through use of divergent & convergent thinking techniques (such as brainstorming and clustering).
SEAS is a tool to aid analysts in reasoning about potential opportunities/crises. It records analytic thinking in structured arguments, provides a collaborative environment in which multiple analysts can simultaneously contribute to arguments, and retains a coproate memory of the evolution of analytic thinking over time.
The following are in reverse chronological order of publication.
Lowrance, J., Harrison, I., Rodriguez, A., Yeh, E., Boyce, T., Murdock, J., Thomere, J., and Murray, K. Template-Based Structured Argumentationin Knowledge Cartography: Software Tools and Mapping Techniques, Springer, October 2008. [Details]
Rodriguez, A. and Boyce, T. and Lowrance, J. and Yeh, E. Angler: Collaboratively Expanding Your Cognitive Horizon, in International Conference on Intelligence Analysis Proceedings, MITRE, May 2005. [Details]
Stokke, Per R. and Boyce, Thomas A. and Lowrance, John D. and William K. Ralston, Jr. Industrial Project Monitoring with Evidential Reasoning. Nordic Advanced Information Technology Magazine, vol. 8, no. 1, pp. 18-27, Jul 1994. [Details]
Stokke, Per R. and Boyce, Thomas A. and Lowrance, John D. and William K. Ralston, Jr. Evidential Reasoning and Project Early Warning Systems. Research and Technology Management, 1994. [Details]