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Proceedings Paper

Probabilistic Entailment In Stochastic Decision Theory
Author(s): Jalel Zrida; J. Douglas Birdwell; J. Robin B. Cockett
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Paper Abstract

This paper solves the problem of probabilistic entailment in stochastic decision theory according to the principle of maximum entropy. The recursive computation of entropy within the tree structure reduces this problem to an assignment of uniform probability distributions on the missing information.

Paper Details

Date Published: 29 March 1988
PDF: 8 pages
Proc. SPIE 0937, Applications of Artificial Intelligence VI, (29 March 1988); doi: 10.1117/12.946978
Show Author Affiliations
Jalel Zrida, The University of Tennessee (United States)
J. Douglas Birdwell, The University of Tennessee (United States)
J. Robin B. Cockett, The University of Tennessee (United States)

Published in SPIE Proceedings Vol. 0937:
Applications of Artificial Intelligence VI
Mohan M. Trivedi, Editor(s)

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