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Plan Recognition (Dagstuhl Seminar 11141)

Authors: Robert P. Goldman, Christopher W. Geib, Henry Kautz, and Tamim Asfour

Published in: Dagstuhl Reports, Volume 1, Issue 4 (2011)


Abstract
This Dagstuhl seminar brought together researchers with a wide range of interests and backgrounds related to plan and activity recognition. It featured a substantial set of longer tutorials on aspects of plan and activity recognition, and related topics and useful methods, as a way of establishing a 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 compare different plan and activity recognition algorithms --- and address the question of whether to assume rationality in the modeled agents (a question that is of great concern in many fields at this time). This report presents a summary of the talks and discussions at the seminar.

Cite as

Robert P. Goldman, Christopher W. Geib, Henry Kautz, and Tamim Asfour. Plan Recognition (Dagstuhl Seminar 11141). In Dagstuhl Reports, Volume 1, Issue 4, pp. 1-22, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2011)


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@Article{goldman_et_al:DagRep.1.4.1,
  author =	{Goldman, Robert P. and Geib, Christopher W. and Kautz, Henry and Asfour, Tamim},
  title =	{{Plan Recognition (Dagstuhl Seminar 11141)}},
  pages =	{1--22},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2011},
  volume =	{1},
  number =	{4},
  editor =	{Goldman, Robert P. and Geib, Christopher W. and Kautz, Henry and Asfour, Tamim},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagRep.1.4.1},
  URN =		{urn:nbn:de:0030-drops-31958},
  doi =		{10.4230/DagRep.1.4.1},
  annote =	{Keywords: Artificial intelligence, plan recognition, intent recognition, activity recognition}
}
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