{"title":"简单计时游戏的简单算法","authors":"Yasmina Abdeddaïm, E. Asarin, M. Sighireanu","doi":"10.1109/TIME.2009.14","DOIUrl":null,"url":null,"abstract":"We propose a subclass of timed game automata(TGA), called Task TGA, representing networks of communicating tasks where the system can choose when to start the task and the environment can choose the duration of the task. We search to solve finite-horizon reachability games on Task TGA by building strategies in the form of Simple Temporal Networks with Uncertainty (STNU). Such strategies have the advantage of being very succinct due to the partial order reduction of independent tasks.We show that the existence of such strategies is an NP-complete problem. A practical consequence of this result is a fully forward algorithm for building STNU strategies.Potential applications of this work are planning and scheduling under temporal uncertainty.","PeriodicalId":163298,"journal":{"name":"2009 16th International Symposium on Temporal Representation and Reasoning","volume":"37 8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Simple Algorithm for Simple Timed Games\",\"authors\":\"Yasmina Abdeddaïm, E. Asarin, M. Sighireanu\",\"doi\":\"10.1109/TIME.2009.14\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We propose a subclass of timed game automata(TGA), called Task TGA, representing networks of communicating tasks where the system can choose when to start the task and the environment can choose the duration of the task. We search to solve finite-horizon reachability games on Task TGA by building strategies in the form of Simple Temporal Networks with Uncertainty (STNU). Such strategies have the advantage of being very succinct due to the partial order reduction of independent tasks.We show that the existence of such strategies is an NP-complete problem. A practical consequence of this result is a fully forward algorithm for building STNU strategies.Potential applications of this work are planning and scheduling under temporal uncertainty.\",\"PeriodicalId\":163298,\"journal\":{\"name\":\"2009 16th International Symposium on Temporal Representation and Reasoning\",\"volume\":\"37 8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-07-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 16th International Symposium on Temporal Representation and Reasoning\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/TIME.2009.14\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 16th International Symposium on Temporal Representation and Reasoning","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TIME.2009.14","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
We propose a subclass of timed game automata(TGA), called Task TGA, representing networks of communicating tasks where the system can choose when to start the task and the environment can choose the duration of the task. We search to solve finite-horizon reachability games on Task TGA by building strategies in the form of Simple Temporal Networks with Uncertainty (STNU). Such strategies have the advantage of being very succinct due to the partial order reduction of independent tasks.We show that the existence of such strategies is an NP-complete problem. A practical consequence of this result is a fully forward algorithm for building STNU strategies.Potential applications of this work are planning and scheduling under temporal uncertainty.