{"title":"多智能体环境下的自进化决策支持系统","authors":"Tofig Hasanov, Motoyuki Ozeki, N. Oka","doi":"10.1109/SNPD.2012.83","DOIUrl":null,"url":null,"abstract":"Multi-Agent Systems have been in the focus of research interest for a long time. These systems are used widely in such areas as logistics, management, various simulations, game development and many others. In this paper, we search for a method to increase flexibility and efficiency of Multi-Agent Systems by investigating the usefulness of Decision Support Systems for intelligent agents in multi-agent environment. We also research advantages, such as the ability to add new agents at run-time, and disadvantages, such as increased complexity, of creating and modifying Decision Support Systems dynamically in Multi-Agent System.","PeriodicalId":387936,"journal":{"name":"2012 13th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2012-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Self-Evolving Decision Support Systems in Multi-agent Environment\",\"authors\":\"Tofig Hasanov, Motoyuki Ozeki, N. Oka\",\"doi\":\"10.1109/SNPD.2012.83\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Multi-Agent Systems have been in the focus of research interest for a long time. These systems are used widely in such areas as logistics, management, various simulations, game development and many others. In this paper, we search for a method to increase flexibility and efficiency of Multi-Agent Systems by investigating the usefulness of Decision Support Systems for intelligent agents in multi-agent environment. We also research advantages, such as the ability to add new agents at run-time, and disadvantages, such as increased complexity, of creating and modifying Decision Support Systems dynamically in Multi-Agent System.\",\"PeriodicalId\":387936,\"journal\":{\"name\":\"2012 13th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-08-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 13th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SNPD.2012.83\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 13th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SNPD.2012.83","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Self-Evolving Decision Support Systems in Multi-agent Environment
Multi-Agent Systems have been in the focus of research interest for a long time. These systems are used widely in such areas as logistics, management, various simulations, game development and many others. In this paper, we search for a method to increase flexibility and efficiency of Multi-Agent Systems by investigating the usefulness of Decision Support Systems for intelligent agents in multi-agent environment. We also research advantages, such as the ability to add new agents at run-time, and disadvantages, such as increased complexity, of creating and modifying Decision Support Systems dynamically in Multi-Agent System.