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          <dc:title>Plan Recognition (Dagstuhl Seminar 11141)</dc:title>
          <dc:creator>Goldman, Robert P.</dc:creator>
          <dc:creator>Geib, Christopher W.</dc:creator>
          <dc:creator>Kautz, Henry</dc:creator>
          <dc:creator>Asfour, Tamim</dc:creator>
          <dc:subject>Artificial intelligence</dc:subject>
          <dc:subject>plan recognition</dc:subject>
          <dc:subject>intent recognition</dc:subject>
          <dc:subject>activity recognition</dc:subject>
          <dc:description>This Dagstuhl seminar brought together researchers with a wide range of&#13;
interests and backgrounds related to plan and activity recognition.  It featured&#13;
a substantial set of longer tutorials on aspects of plan and activity&#13;
recognition, and related topics and useful methods, as a way of establishing a&#13;
common vocabulary and shared basis of understanding. Building on this shared understanding, individual researchers presented talks about their work in the area. There were also panel discussions which addressed questions about how to best foster progress in the field --- specifically how to improve our ability to&#13;
compare different plan and activity recognition algorithms --- and address&#13;
the question of whether to assume rationality in the modeled agents (a question&#13;
that is of great concern in many fields at this time).  This report presents a&#13;
summary of the talks and discussions at the seminar.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Robert P. Goldman and Christopher W. Geib and Henry Kautz and Tamim Asfour</dc:contributor>
          <dc:date>2011</dc:date>
          <dc:relation>Is Part Of Dagstuhl Reports, Volume 1, Issue 4 (2011)</dc:relation>
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          <dc:identifier>doi:10.4230/DagRep.1.4.1</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-31958</dc:identifier>
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          <dc:language>eng</dc:language>
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