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.
@InProceedings{gobeldecker_et_al:DagSemProc.10081.7, 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 = {https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.10081.7}, URN = {urn:nbn:de:0030-drops-27739}, doi = {10.4230/DagSemProc.10081.7}, annote = {Keywords: Planning, knowledge representation} }
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