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when quoting this document, please refer to the following
URN: urn:nbn:de:0030-drops-3599
URL: http://drops.dagstuhl.de/opus/volltexte/2005/359/

Jin, Yi ; Thielscher, Michael

Actions and Belief Revision : A Computational Approach

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Abstract

The classic AGM theory studies mathematically idealized models of belief revision in two aspects: the properties (i.e., the AGM postulates) a rational revision operator should satisfy; and how to mathematically construct concrete revision operators. In scenarios where new information arrives in sequence, rational revision operators should also respect postulates for iterated revision (e.g., the DP postulates). When applications are concerned, the idealization of the AGM theory has to be lifted, in particular, beliefs of an agent should be represented by a finite belief base. In this talk, we present a computational base revision operator, which satisfies the AGM postulates and some nice postulates for iterated revision. We will also give a formal assessment of the base revision operator in terms of its computational complexity and degree of syntax irrelevance.

BibTeX - Entry

@InProceedings{jin_et_al:DSP:2005:359,
  author =	{Yi Jin and Michael Thielscher},
  title =	{Actions and Belief Revision : A Computational Approach},
  booktitle =	{Belief Change in Rational Agents: Perspectives from Artificial Intelligence, Philosophy, and Economics},
  year =	{2005},
  editor =	{James Delgrande and Jerome Lang and Hans Rott and Jean-Marc Tallon},
  number =	{05321},
  series =	{Dagstuhl Seminar Proceedings},
  ISSN =	{1862-4405},
  publisher =	{Internationales Begegnungs- und Forschungszentrum f{\"u}r Informatik (IBFI), Schloss Dagstuhl, Germany},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2005/359},
  annote =	{Keywords: Iterated Belief Revision, Belief Base Revision, Computational Complexity}
}

Keywords: Iterated Belief Revision, Belief Base Revision, Computational Complexity
Seminar: 05321 - Belief Change in Rational Agents: Perspectives from Artificial Intelligence, Philosophy, and Economics
Issue date: 2005
Date of publication: 22.11.2005


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