Frédéric Marc, I. Degirmenciyan-Cartault, A. E. Seghrouchni
{"title":"构建可行的多智能体规划的完整周期","authors":"Frédéric Marc, I. Degirmenciyan-Cartault, A. E. Seghrouchni","doi":"10.1109/IAT.2004.1342946","DOIUrl":null,"url":null,"abstract":"This work proposes a multi-agent planning framework. It presents an integral cycle we developed to build feasible multi-agent plans in a dynamic context (i.e. aircraft simulation). This cycle takes into account both functional and computational features of our multi-agent planning framework. From modeling to validation, this cycle allows the management of different constraints (e.g. time, physical resources, etc.) at the single- and multi-agent levels.","PeriodicalId":281008,"journal":{"name":"Proceedings. IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2004. (IAT 2004).","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An integral cycle for building feasible multi-agent plans\",\"authors\":\"Frédéric Marc, I. Degirmenciyan-Cartault, A. E. Seghrouchni\",\"doi\":\"10.1109/IAT.2004.1342946\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This work proposes a multi-agent planning framework. It presents an integral cycle we developed to build feasible multi-agent plans in a dynamic context (i.e. aircraft simulation). This cycle takes into account both functional and computational features of our multi-agent planning framework. From modeling to validation, this cycle allows the management of different constraints (e.g. time, physical resources, etc.) at the single- and multi-agent levels.\",\"PeriodicalId\":281008,\"journal\":{\"name\":\"Proceedings. IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2004. (IAT 2004).\",\"volume\":\"30 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2004-09-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings. IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2004. (IAT 2004).\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IAT.2004.1342946\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings. IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2004. (IAT 2004).","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IAT.2004.1342946","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An integral cycle for building feasible multi-agent plans
This work proposes a multi-agent planning framework. It presents an integral cycle we developed to build feasible multi-agent plans in a dynamic context (i.e. aircraft simulation). This cycle takes into account both functional and computational features of our multi-agent planning framework. From modeling to validation, this cycle allows the management of different constraints (e.g. time, physical resources, etc.) at the single- and multi-agent levels.