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FLAIRS
2003
13 years 5 months ago
Belief Revision and Information Fusion in a Probabilistic Environment
This paper presents new methods for probabilistic belief revision and information fusion. By making use of the principles of optimum entropy (ME-principles), we define a generali...
Gabriele Kern-Isberner, Wilhelm Rödder
ECAI
2008
Springer
13 years 6 months ago
Belief Revision through Forgetting Conditionals in Conditional Probabilistic Logic Programs
Abstract. In this paper, we present a revision strategy of revising a conditional probabilistic logic program (PLP) when new information is received (which is in the form of probab...
Anbu Yue, Weiru Liu
TARK
1998
Springer
13 years 8 months ago
The Learning Power of Belief Revision
Belief revision theory aims to describe how one should change one's beliefs when they are contradicted by newly input information. The guiding principle of belief revision th...
Kevin T. Kelly
CONTEXT
2001
Springer
13 years 9 months ago
Belief Expansion, Contextual Fit, and the Reliability of Information Sources
We develop a probabilistic criterion for belief expansion that is sensitive to the degree of contextual fit of the new information to our belief set as well as to the reliability...
Luc Bovens, Stephan Hartmann
ISMIS
2009
Springer
13 years 11 months ago
A General Framework for Revising Belief Bases Using Qualitative Jeffrey's Rule
Intelligent agents require methods to revise their epistemic state as they acquire new information. Jeffrey’s rule, which extends conditioning to uncertain inputs, is used to re...
Salem Benferhat, Didier Dubois, Henri Prade, Mary-...