Integrating Logical and Probabilistic Reasoning for Decision Making [article]

John S. Breese, Edison Tse
2013 arXiv   pre-print
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
more » ... y solved. A uniform declarative, first-order, knowledge representation is combined with a set of integrated inference procedures for logical, probabilistic, and decision-theoretic reasoning.
arXiv:1304.2751v1 fatcat:ki7rh3tgunaonlqkbustd33zve