{"title":"协作与观察:资源约束下多智能体规划的实证研究","authors":"Emmanuel Benazera","doi":"10.5220/0001508702940300","DOIUrl":null,"url":null,"abstract":"A team of robots and an exploratory mission are modeled as a multiagent planning problem in a decentralized decision theoretical framework. In this application domain, agents are constrained by resources such as their remaining battery power. In this context, there is an intrinsic relation between collaboration, computation and the need for the agents to observe their resource level. This paper reports on an empirical study of this relationship.","PeriodicalId":302311,"journal":{"name":"ICINCO-RA","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Collaboration vs. Observation: An Empirical Study in Multiagent Planning under Resource Constraint\",\"authors\":\"Emmanuel Benazera\",\"doi\":\"10.5220/0001508702940300\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A team of robots and an exploratory mission are modeled as a multiagent planning problem in a decentralized decision theoretical framework. In this application domain, agents are constrained by resources such as their remaining battery power. In this context, there is an intrinsic relation between collaboration, computation and the need for the agents to observe their resource level. This paper reports on an empirical study of this relationship.\",\"PeriodicalId\":302311,\"journal\":{\"name\":\"ICINCO-RA\",\"volume\":\"34 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-01-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ICINCO-RA\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5220/0001508702940300\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ICINCO-RA","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5220/0001508702940300","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Collaboration vs. Observation: An Empirical Study in Multiagent Planning under Resource Constraint
A team of robots and an exploratory mission are modeled as a multiagent planning problem in a decentralized decision theoretical framework. In this application domain, agents are constrained by resources such as their remaining battery power. In this context, there is an intrinsic relation between collaboration, computation and the need for the agents to observe their resource level. This paper reports on an empirical study of this relationship.
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