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PLASMA: Combining Predicate Logic and Probability for Information Fusion and Decision Support

Show simple item record Fung, Francis Laskey, Kathryn B. Pool, Michael Takikawa, Masami Wright, Edward J. 2006-02-06T16:47:07Z 2006-02-06T16:47:07Z 2006-02-06T16:47:07Z
dc.description presented at AAAI Spring Symposium on Challenges to Decision Support in a Changing World, 2005 en
dc.description.abstract Decision support and information fusion in complex domains requires reasoning about inherently uncertain properties of and relationships among varied and often unknown number of entities interacting in differing and often unspecified ways. Tractable probabilistic reasoning about such complex situations requires combining efficient inference with logical reasoning about which variables to include in a model and what the appropriate probability distributions are. This paper describes the PLASMA architecture for predicate logic based assembly of situationspecific probabilistic models. PLASMA maintains a declarative representation of a decision theoretically coherent first-order probabilistic domain theory. As evidence about a situation is absorbed and queries are processed, PLASMA uses logical inference to reason about which known and/or hypothetical entities to represent explicitly in the situation model, which known and/or uncertain relationships to represent, what functional forms and parameters to specify for the local distributions, and which exact or approximate inference and/or ptimization techniques to apply. We report on a prototype implementation of the PLASMA architecture within IET’s Quiddity*Suite, a knowledge-based probabilistic reasoning toolkit. Examples from our application experience are discussed.
dc.description.sponsorship This research has been supported under a contract with the Office of Naval Research, number N00014-04-M-0277. en
dc.format.extent 223703 bytes
dc.format.mimetype application/pdf
dc.language.iso en_US en
dc.relation.ispartofseries C4I-05-08 en
dc.title PLASMA: Combining Predicate Logic and Probability for Information Fusion and Decision Support en
dc.type Technical Report en

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