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5 papers · 2 filters
The Relationship between Knowledge, Belief and Certainty
Joseph Y. Halpern
We consider the relation between knowledge and certainty, where a fact is known if it is true at all worlds an agent considers possible and is certain if it holds with probability…
Structural Controllability and Observability in Influence Diagrams
Brian Y. Chan, Ross D. Shachter
Influence diagram is a graphical representation of belief networks with uncertainty. This article studies the structural properties of a probabilistic model in an influence diagram…
Generating New Beliefs From Old
Fahiem Bacchus, Adam J. Grove, Joseph Y. Halpern +1
In previous work [BGHK92, BGHK93], we have studied the random-worlds approach -- a particular (and quite powerful) method for generating degrees of belief (i.e., subjective probabi…
Plausibility Measures: A User's Guide
Nir Friedman, Joseph Y. Halpern
We examine a new approach to modeling uncertainty based on plausibility measures, where a plausibility measure just associates with an event its plausibility, an element is some pa…
A Qualitative Markov Assumption and its Implications for Belief Change
Nir Friedman, Joseph Y. Halpern
The study of belief change has been an active area in philosophy and AI. In recent years two special cases of belief change, belief revision and belief update, have been studied in…