Integrating Logical and Probabilistic Reasoning for Decision Making

John S. Breese; Edison Tse

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arXiv · 1304.2751

Integrating Logical and Probabilistic Reasoning for Decision Making

John S. Breese·Edison Tse

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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.

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John S. Breese, Edison Tse. 2013-03-27. Integrating Logical and Probabilistic Reasoning for Decision Making. https://arxiv.org/abs/1304.2751

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