M. Göbelbecker, Thomas Keller, Patrick Eyerich, Michael Brenner, B. Nebel
{"title":"Coming up With Good Excuses: What to do When no Plan Can be Found","authors":"M. Göbelbecker, Thomas Keller, Patrick Eyerich, Michael Brenner, B. Nebel","doi":"10.1609/icaps.v20i1.13421","DOIUrl":null,"url":null,"abstract":"\n \n When using a planner-based agent architecture, many things 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.\n \n","PeriodicalId":100288,"journal":{"name":"Cognitive Robotics","volume":"68 1","pages":"81-88"},"PeriodicalIF":0.0000,"publicationDate":"2010-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"120","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cognitive Robotics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1609/icaps.v20i1.13421","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 120
Abstract
When using a planner-based agent architecture, many things 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.