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

Authors Moritz Göbeldecker, Thomas Keller, Patrick Eyerich, Michael Brenner, Bernhard Nebel



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Author Details

Moritz Göbeldecker
Thomas Keller
Patrick Eyerich
Michael Brenner
Bernhard Nebel

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Moritz Göbeldecker, Thomas Keller, Patrick Eyerich, Michael Brenner, and Bernhard Nebel. Coming up With Good Excuses: What to do When no Plan Can be Found. In Cognitive Robotics. Dagstuhl Seminar Proceedings, Volume 10081, pp. 1-8, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2010)
https://doi.org/10.4230/DagSemProc.10081.7

Abstract

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 time.
Keywords
  • Planning
  • knowledge representation

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