首页 | 本学科首页   官方微博 | 高级检索  
     


Iterated Belief Change and the Recovery Axiom
Authors:Samir Chopra  Aditya Ghose  Thomas Meyer  Ka-Shu Wong
Affiliation:1.Department of Computer and Information Science,Brooklyn College of the City University of New York,Brooklyn,USA;2.Decision Systems Laboratory, School of Information Technology and Computer Science,University of Wollongong,Wollongong,Australia;3.Meraka Institute,Pretoria,South Africa;4.Knowledge Representation and Reasoning Program National ICT Australia,Kensington Research Laboratory,Kensington,Australia
Abstract:The axiom of recovery, while capturing a central intuition regarding belief change, has been the source of much controversy. We argue briefly against putative counterexamples to the axiom—while agreeing that some of their insight deserves to be preserved—and present additional recovery-like axioms in a framework that uses epistemic states, which encode preferences, as the object of revisions. This makes iterated revision possible and renders explicit the connection between iterated belief change and the axiom of recovery. We provide a representation theorem that connects the semantic conditions we impose on iterated revision and our additional syntactical properties. We show interesting similarities between our framework and that of Darwiche–Pearl (Artificial Intelligence 89:1–29 1997). In particular, we show that intuitions underlying the controversial (C2) postulate are captured by the recovery axiom and our recovery-like postulates (the latter can be seen as weakenings of (C2)). We present postulates for contraction, in the same spirit as the Darwiche–Pearl postulates for revision, and provide a theorem that connects our syntactic postulates with a set of semantic conditions. Lastly, we show a connection between the contraction postulates and a generalisation of the recovery axiom. Portions of this paper were originally presented at ECAI 2002.
Keywords:epistemic states  iterated belief change  recovery axiom
本文献已被 SpringerLink 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号