Affiliation:
1. Department of Mathematics and Computer Science, University of Amsterdam, Plantage Muidergracht 24, 1018 TV Amsterdam, The Netherlands
Abstract
In this paper, we describe an approach to handling partially specified probabilistic information. We propose a formalism, called Partial Probability Theory (PPT), which allows very general representations of belief states, and we give brief treatments of problems, like belief change, evidence combination, and decision making in the context of PPT. We argue that the generality of PPT provide new insights in all the mentioned problem areas. More detailed treatments of these issues can be found in several papers referred to in the text.
Publisher
World Scientific Pub Co Pte Lt
Subject
Artificial Intelligence,Information Systems,Control and Systems Engineering,Software
Cited by
6 articles.
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1. Revising incomplete attitudes;Synthese;2009-07-21
2. Uncertain probabilities III: the continuous case;Soft Computing - A Fusion of Foundations, Methodologies and Applications;2004-01-01
3. Uncertain probabilities II: the continuous case;SOFT COMPUT;2004
4. Uncertain probabilities I: the discrete case;Soft Computing - A Fusion of Foundations, Methodologies and Applications;2003-08-01
5. Introduction;Fuzzy Probabilities;2003