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. © 2008 Springer-Verlag Berlin Heidelberg.
Cite
CITATION STYLE
Lloyd, J. W., & Ng, K. S. (2008). Probabilistic and logical beliefs. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5118 LNAI, pp. 19–36). https://doi.org/10.1007/978-3-540-85058-8_2
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