License: Creative Commons Attribution 4.0 International license (CC BY 4.0)
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DOI: 10.4230/DagSemProc.10081.7
URN: urn:nbn:de:0030-drops-27739
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Göbeldecker, Moritz ; Keller, Thomas ; Eyerich, Patrick ; Brenner, Michael ; Nebel, Bernhard

Coming up With Good Excuses: What to do When no Plan Can be Found

10081.Nebel.2773.pdf (0.2 MB)


can go wrong. First and foremost, an agent might fail to execute
one of the planned actions for some reasons. Even more
annoying, however, is a situation where the agent is incompetent,
i.e., unable to come up with a plan. This might be
due to the fact that there are principal reasons that prohibit a
successful plan or simply because the task’s description is incomplete
or incorrect. In either case, an explanation for such
a failure would be very helpful. We will address this problem
and provide a formalization of coming up with excuses for
not being able to find a plan. Based on that, we will present
an algorithm that is able to find excuses and demonstrate that
such excuses can be found in practical settings in reasonable

BibTeX - Entry

  author =	{G\"{o}beldecker, Moritz and Keller, Thomas and Eyerich, Patrick and Brenner, Michael and Nebel, Bernhard},
  title =	{{Coming up With Good Excuses: What to do When no Plan Can be Found}},
  booktitle =	{Cognitive Robotics},
  pages =	{1--8},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2010},
  volume =	{10081},
  editor =	{Gerhard Lakemeyer and Hector J. Levesque and Fiora Pirri},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{},
  URN =		{urn:nbn:de:0030-drops-27739},
  doi =		{10.4230/DagSemProc.10081.7},
  annote =	{Keywords: Planning, knowledge representation}

Keywords: Planning, knowledge representation
Collection: 10081 - Cognitive Robotics
Issue Date: 2010
Date of publication: 27.10.2010

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