Probabilistic and Logical Beliefs

Authors:
John W. Lloyd;Kee Siong Ng
Affiliations:
Computer Sciences Laboratory College of Engineering and Computer Science, The Australian National University,;National ICT, Australia
Venue:
Languages, Methodologies and Development Tools for Multi-Agent Systems
Year:
2008

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Abstract

This paper proposes a method of integrating two different concepts of belief in artificial intelligence: belief as a probability distribution and belief as a logical formula. The setting for the integration is a highly expressive logic. The integration is explained in detail, as its comparison to other approaches to integrating logic and probability. An illustrative example is given to motivate the usefulness of the ideas in agent applications.