{"title":"在不确定性和时间限制下生成低成本计划","authors":"B. Baki, M. Bouzid, A. Ligeza","doi":"10.1109/ICTAI.2005.68","DOIUrl":null,"url":null,"abstract":"The paper describes a new approach to generating partially ordered plans with durative actions. Both cost and duration of any task is defined through probability distribution. We propose a planner that generates a plan represented in the form of a partially ordered set of tasks. Each task has a set of temporal constraints, a set of probabilities and a set of constant costs. The planning system generates admissible plans satisfying temporal constraints and allows to select the plan of lowest expected cost","PeriodicalId":294694,"journal":{"name":"17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'05)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Generating low cost plans under uncertainty and temporal constraints\",\"authors\":\"B. Baki, M. Bouzid, A. Ligeza\",\"doi\":\"10.1109/ICTAI.2005.68\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper describes a new approach to generating partially ordered plans with durative actions. Both cost and duration of any task is defined through probability distribution. We propose a planner that generates a plan represented in the form of a partially ordered set of tasks. Each task has a set of temporal constraints, a set of probabilities and a set of constant costs. The planning system generates admissible plans satisfying temporal constraints and allows to select the plan of lowest expected cost\",\"PeriodicalId\":294694,\"journal\":{\"name\":\"17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'05)\",\"volume\":\"49 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2005-11-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'05)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICTAI.2005.68\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'05)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICTAI.2005.68","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Generating low cost plans under uncertainty and temporal constraints
The paper describes a new approach to generating partially ordered plans with durative actions. Both cost and duration of any task is defined through probability distribution. We propose a planner that generates a plan represented in the form of a partially ordered set of tasks. Each task has a set of temporal constraints, a set of probabilities and a set of constant costs. The planning system generates admissible plans satisfying temporal constraints and allows to select the plan of lowest expected cost