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Integrating Logical and Probabilistic Reasoning for Decision Making | John S. Breese
; Edison Tse
; | Date: |
27 Mar 2013 | Abstract: | We describe a representation and a set of inference methods that combine
logic programming techniques with probabilistic network representations for
uncertainty (influence diagrams). The techniques emphasize the dynamic
construction and solution of probabilistic and decision-theoretic models for
complex and uncertain domains. Given a query, a logical proof is produced if
possible; if not, an influence diagram based on the query and the knowledge of
the decision domain is produced and subsequently solved. A uniform declarative,
first-order, knowledge representation is combined with a set of integrated
inference procedures for logical, probabilistic, and decision-theoretic
reasoning. | Source: | arXiv, 1304.2751 | Services: | Forum | Review | PDF | Favorites |
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