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          <dc:title>Actions and Belief Revision : A Computational Approach</dc:title>
          <dc:creator>Jin, Yi</dc:creator>
          <dc:creator>Thielscher, Michael</dc:creator>
          <dc:subject>Iterated Belief Revision</dc:subject>
          <dc:subject>Belief Base Revision</dc:subject>
          <dc:subject>Computational Complexity</dc:subject>
          <dc:description>The classic AGM theory studies mathematically idealized models of&#13;
belief revision in two aspects: the properties (i.e., the AGM postulates)&#13;
a rational revision operator should satisfy;  and how to mathematically&#13;
construct concrete revision operators.  In scenarios where new&#13;
information arrives in sequence, rational revision operators should&#13;
also respect postulates for iterated revision (e.g., the DP postulates).&#13;
When applications are concerned, the idealization of the AGM theory has&#13;
to be lifted, in particular, beliefs of an agent should be represented by&#13;
a finite belief base. In this talk, we present a computational base&#13;
revision operator, which satisfies the AGM postulates and some nice&#13;
postulates for iterated revision. We will also give a formal assessment&#13;
of the base revision operator in terms of its computational complexity&#13;
and degree of syntax irrelevance.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Yi Jin and Michael Thielscher</dc:contributor>
          <dc:date>2005</dc:date>
          <dc:relation>Is Part Of Dagstuhl Seminar Proceedings, Volume 5321, Belief Change in Rational Agents: Perspectives from Artificial Intelligence, Philosophy, and Economics (2005)</dc:relation>
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          <dc:identifier>doi:10.4230/DagSemProc.05321.5</dc:identifier>
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          <dc:language>eng</dc:language>
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