Journal of Philosophical Logic 41 (1):237-271 (2012)
| Abstract |
In the context of a general framework for belief dynamics which interprets revision as doxastic constraint satisfaction, we discuss a proposal for revising quasi-probabilistic belief measures with finite sets of graded conditionals. The belief states are ranking measures with divisible values (generalizing Spohn’s epistemology), and the conditionals are interpreted as ranking constraints. The approach is inspired by the minimal information paradigm and based on the principle-guided canonical construction of a ranking model of the input conditionals. This is achieved by extending techniques known from conditional default reasoning. We give an overview of how it handles different principles for conditional and parallel revision and compare it with similar accounts
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| Keywords | Belief revision Ranking measures Conditionals |
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| DOI | 10.1007/s10992-011-9204-4 |
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References found in this work BETA
On the Logic of Theory Change: Partial Meet Contraction and Revision Functions.Carlos E. Alchourrón, Peter Gärdenfors & David Makinson - 1985 - Journal of Symbolic Logic 50 (2):510-530.
Change, Choice and Inference: A Study of Belief Revision and Nonmonotonic Reasoning.Hans Rott - 2001 - Oxford, England: Oxford University Press.
Nonmonotonic Reasoning, Preferential Models and Cumulative Logics.Sarit Kraus, Daniel Lehmann & Menachem Magidor - 1990 - Artificial Intelligence 44 (1-2):167-207.
Ordinal Conditional Functions. A Dynamic Theory of Epistemic States.Wolfgang Spohn - 1988 - In W. L. Harper & B. Skyrms (eds.), Causation in Decision, Belief Change, and Statistics, vol. II. Kluwer Academic Publishers.
Causation, Decision, Belief Change and Statistics.Wolfgang Spohn - 1988 - Kluwer Academic Publishers.
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