{"title":"发现多智能体系统的感知能力","authors":"Cristina Parpaglione, J. M. Santos","doi":"10.1109/SCCC.2010.22","DOIUrl":null,"url":null,"abstract":"Which should the sensing capabilities of agents in a Multiagent System be to solve a problem efficiently, fast and with low cost? This question often appears when trying to solve a problem using Multiagent System. This paper introduces a method to find out these sensing capabilities in order to solve a given problem. To achieve this, the sensing capability of an agent is modeled by a parametrized function and then Genetic Algorithms are used to find the parameters values. The individual behavior of the agents are found with Reinforcement Learning.","PeriodicalId":394608,"journal":{"name":"2010 XXIX International Conference of the Chilean Computer Science Society","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Discovering Sensing Capability in Multi-agent Systems\",\"authors\":\"Cristina Parpaglione, J. M. Santos\",\"doi\":\"10.1109/SCCC.2010.22\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Which should the sensing capabilities of agents in a Multiagent System be to solve a problem efficiently, fast and with low cost? This question often appears when trying to solve a problem using Multiagent System. This paper introduces a method to find out these sensing capabilities in order to solve a given problem. To achieve this, the sensing capability of an agent is modeled by a parametrized function and then Genetic Algorithms are used to find the parameters values. The individual behavior of the agents are found with Reinforcement Learning.\",\"PeriodicalId\":394608,\"journal\":{\"name\":\"2010 XXIX International Conference of the Chilean Computer Science Society\",\"volume\":\"13 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-11-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 XXIX International Conference of the Chilean Computer Science Society\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SCCC.2010.22\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 XXIX International Conference of the Chilean Computer Science Society","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SCCC.2010.22","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Discovering Sensing Capability in Multi-agent Systems
Which should the sensing capabilities of agents in a Multiagent System be to solve a problem efficiently, fast and with low cost? This question often appears when trying to solve a problem using Multiagent System. This paper introduces a method to find out these sensing capabilities in order to solve a given problem. To achieve this, the sensing capability of an agent is modeled by a parametrized function and then Genetic Algorithms are used to find the parameters values. The individual behavior of the agents are found with Reinforcement Learning.
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