Abstract Preference Frameworks: a Unifying Perspective on Separability and Strong Equivalence

Faber, Wolfgang, Truszczyński, Mirosław and Woltran, Stefan (2013) Abstract Preference Frameworks: a Unifying Perspective on Separability and Strong Equivalence. In: Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, July 14-18, 2013, Bellevue, Washington, USA. AAAI Press. ISBN 978-1-57735-615-8

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Abstract

We introduce abstract preference frameworks to study general properties common across a variety of preference formalisms. In particular, we study strong equivalence in preference formalisms and their separability. We identify abstract postulates on preference frameworks, satisfied by most of the currently studied preference formalisms, that lead to characterizations of both properties of interest.

Item Type:	Book Chapter
Additional Information:	Copyright 2013, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Schools:	School of Computing and Engineering School of Computing and Engineering > High-Performance Intelligent Computing
Related URLs:	Publisher
Depositing User:	Wolfgang Faber
Date Deposited:	08 Jul 2014 13:51
Last Modified:	28 Aug 2021 19:05
URI:	https://eprints.hud.ac.uk/id/eprint/21035

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