Ferme, E. and Rott, Hans (2004) Revision by comparison. ARTIFICIAL INTELLIGENCE, 157 (1-2). pp. 5-47. ISSN 0004-3702,
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Since the early 1980s, logical theories of belief revision have offered formal methods for the transformation of knowledge bases or "corpora" of data and beliefs. Early models have dealt with unconditional acceptance and integration of potentially belief-contravening pieces of information into the existing corpus. More recently, models of "non-prioritized" revision were proposed that allow the agent rationally to refuse to accept the new information. This paper introduces a refined method for changing beliefs by specifying constraints on the relative plausibility of propositions. Like the earlier belief revision models, the method proposed is a qualitative one, in the sense that no numbers are needed in order to specify the posterior plausibility of the new information. We use reference beliefs in order to determine the degree of entrenchment of the newly accepted piece of information. We provide two kinds of semantics for this idea, give a logical characterization of the new model, study its relation with other operations of belief revision and contraction, and discuss its intuitive strengths and weaknesses. (C) 2004 Published by Elsevier B.V.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | EPISTEMIC ENTRENCHMENT; PLAUSIBILITY MEASURES; BELIEF REVISION; LOGIC; belief revision; theory change; sphere semantics; epistemic entrenchment; AGM approach; iterated revision; non-prioritized revision; severe withdrawal; irrevocable revision; irrefutable revision |
| Subjects: | 100 Philosophy & psychology > 100 Philosophy |
| Divisions: | Philosophy, Art History, History, and Humanities > Institut für Philosophie > Lehrstuhl für Theoretische Philosophie (Prof. Dr. phil Hans Rott) |
| Depositing User: | Dr. Gernot Deinzer |
| Date Deposited: | 05 Jul 2021 08:20 |
| Last Modified: | 05 Jul 2021 08:20 |
| URI: | https://pred.uni-regensburg.de/id/eprint/37361 |
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