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Alumnus of the Artificial Intelligence Center
SRI pioneered evidential reasoning for drawing conclusions from multiple sources of evidential information about dynamic real-world situations. We have developed formal foundations for reasoning under uncertainty covering both probabilistic models (i.e., Bayesian and Dempster-Shafer) and possibilistic models (i.e., propositional logic and fuzzy logic) and have incorporated all of these techniques into a single uncertain reasoning tool, Gister.
Grasper is a system for viewing and manipulating graph-structured information, and for building graph-based user interfaces for application programs.
The following are in reverse chronological order of publication.
Showing most recent 5 out of 6 [View All]
Lowrance, J. and Garvey, G. and Strat, T. A Framework for Evidential-Reasoning Systemsin Classic Works on the Dempster-Shafer Theory of Belief Functions, 16, pp. 419-434, Springer-Verlag, 2008. [Details]
Houzelle, Stephane, Strat, Thomas M., Fua, Pascal, and Fischler, Martin A. Learning Control Parameters of a Vision Process Using Contextual Information, Technical Note 542. AI Center, SRI International, 333 Ravenswood Ave, Menlo Park, CA 94025, Apr 1994. [PDF, Details]
Quam, Lynn H.; Strat, Thomas M. SRI Image Understanding Research in Cartographic Feature Extraction, Technical Note 506. AI Center, SRI International, 333 Ravenswood Ave., Menlo Park, CA 94025, Jun 1991. [PDF, Details]
Lowrance, John D. and Garvey, Thomas D. and Strat, Thomas M. A Framework for Evidential-Reasoning Systemsin Uncertain Reasoning, Morgan Kaufman Publishers, Inc., 1990. [Details]