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» Modeling Belief Change on Epistemic States
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CORR
2002
Springer
98views Education» more  CORR 2002»
13 years 5 months ago
Two Representations for Iterative Non-prioritized Change
We address a general representation problem for belief change, and describe two interrelated representations for iterative nonprioritized change: a logical representation in terms...
Alexander Bochman
ISMIS
2009
Springer
13 years 12 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-...
KR
2010
Springer
13 years 10 months ago
Taxonomy of Improvement Operators and the Problem of Minimal Change
Improvement operators is a family of belief change operators that is a generalization of usual iterated belief revision operators. The idea is to relax the success property, so th...
Sébastien Konieczny, Mattia Medina Grespan,...
LOGCOM
2008
120views more  LOGCOM 2008»
13 years 5 months ago
Reconstructing an Agent's Epistemic State from Observations about its Beliefs and Non-beliefs
We look at the problem in belief revision of trying to make inferences about what an agent believed--or will believe--at a given moment, based on an observation of how the agent h...
Richard Booth, Alexander Nittka
DAGSTUHL
2007
13 years 6 months ago
A conceptual framework for (iterated) revision, update, and nonmonotonic reasoning
Abstract. This paper makes a foundational contribution to the discussions on the very nature of belief change operations. Belief revision and pdate are investigated within an abstr...
Gabriele Kern-Isberner