Title
Modeling Belief Change on Epistemic States
Abstract
Belief revision always results in trusting new evidence, so it may admit an unreliable one and discard a more confident one. We therefore use belief change instead of belief revision to remedy this weakness. By introducing epistemic states, we take into account of the strength of evidence that influences the change of belief. In this paper, we present a set of pos- tulates to characterize belief change by epistemic states and establish representation theorems to characterize those postu- lates. We show that from an epistemic state, a corresponding ordinal conditional function by Spohn can be derived and the result of combining two epistemic states is thus reduced to the result from combining two corresponding ordinal conditional functions proposed by Laverny and Lang. Furthermore, when reduced to the belief revision situation, we prove that our re- sults induce all the Darwiche and Pearl's postulates.
Year
Venue
Keywords
2009
FLAIRS Conference
belief revision
Field
DocType
Citations 
Belief change,Ordinal number,Computer science,Epistemology,Belief bias,Belief revision
Conference
9
PageRank 
References 
Authors
0.57
9
2
Name
Order
Citations
PageRank
Jianbing Ma124215.73
Weiru Liu21597112.05