Conditional Ranking Revision - Iterated Revision with Sets of Conditionals

Reference : Conditional Ranking Revision - Iterated Revision with Sets of Conditionals


	Document type :	Scientific journals : Article
	Discipline(s) :	Engineering, computing & technology : Computer science
	Focus Areas :	Computational Sciences
	To cite this reference:	http://hdl.handle.net/10993/25592

Title :	Conditional Ranking Revision - Iterated Revision with Sets of Conditionals
Language :	English
Author, co-author :	Weydert, Emil [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
Publication date :	2012
Journal title :	Journal of Philosophical Logic
Publisher :	Springer
Volume :	41
Issue/season :	1
Pages :	237-271
Peer reviewed :	Yes (verified by ORBi^lu)
Audience :	International
ISSN :	0022-3611
Keywords :	[en] Belief revision ; ranking measures ; conditionals
Abstract :	[en] 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.
Research centres :	FSTC-CSC-ILIAS-ICR
Name of the research project :	Basic research
Target :	Researchers
Permalink :	http://hdl.handle.net/10993/25592

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