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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-...
FUIN
2010
94views more  FUIN 2010»
13 years 3 months ago
A Framework for Iterated Belief Revision Using Possibilistic Counterparts to Jeffrey's Rule
Intelligent agents require methods to revise their epistemic state as they acquire new information. Jeffrey’s rule, which extends conditioning to probabilistic inputs, is appropr...
Salem Benferhat, Didier Dubois, Henri Prade, Mary-...
UAI
1993
13 years 5 months ago
Jeffrey's rule of conditioning generalized to belief functions
: Jeffrey’s rule of conditioning has been proposed in order to revise a probability measure by another probability function. We generalize it within the framework of the models b...
Philippe Smets
AAAI
2010
13 years 6 months ago
A Belief Revision Framework for Revising Epistemic States with Partial Epistemic States
Belief revision performs belief change on an agent's beliefs when new evidence (either of the form of a propositional formula or of the form of a total pre-order on a set of ...
Jianbing Ma, Weiru Liu, Salem Benferhat
AAAI
2008
13 years 6 months ago
Revising Imprecise Probabilistic Beliefs in the Framework of Probabilistic Logic Programming
Probabilistic logic programming is a powerful technique to represent and reason with imprecise probabilistic knowledge. A probabilistic logic program (PLP) is a knowledge base whi...
Anbu Yue, Weiru Liu