{"title":"基于强化学习技术的券商板代理系统谈判说服方法","authors":"Yun Mayya, Lee Tae Kyung, Ko Il Seok","doi":"10.4156/IJACT.VOL3.ISSUE6.36","DOIUrl":null,"url":null,"abstract":"In this paper, multi-agent system using negotiation and persuasion method with reinforcement learning, implemented on broker's board agent system is proposed. The objective of this research was to design prototype of broker's board multi agent system with negotiation and persuasion capability based on reinforcement learning. For evaluation the agents, we did learning process, in order to find the agent, who makes the best solutions for raising capital.","PeriodicalId":368461,"journal":{"name":"The 7th International Conference on Networked Computing and Advanced Information Management","volume":"158 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Negotiation and persuasion approach using reinforcement learning technique on broker's board agent system\",\"authors\":\"Yun Mayya, Lee Tae Kyung, Ko Il Seok\",\"doi\":\"10.4156/IJACT.VOL3.ISSUE6.36\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, multi-agent system using negotiation and persuasion method with reinforcement learning, implemented on broker's board agent system is proposed. The objective of this research was to design prototype of broker's board multi agent system with negotiation and persuasion capability based on reinforcement learning. For evaluation the agents, we did learning process, in order to find the agent, who makes the best solutions for raising capital.\",\"PeriodicalId\":368461,\"journal\":{\"name\":\"The 7th International Conference on Networked Computing and Advanced Information Management\",\"volume\":\"158 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-06-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The 7th International Conference on Networked Computing and Advanced Information Management\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4156/IJACT.VOL3.ISSUE6.36\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The 7th International Conference on Networked Computing and Advanced Information Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4156/IJACT.VOL3.ISSUE6.36","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Negotiation and persuasion approach using reinforcement learning technique on broker's board agent system
In this paper, multi-agent system using negotiation and persuasion method with reinforcement learning, implemented on broker's board agent system is proposed. The objective of this research was to design prototype of broker's board multi agent system with negotiation and persuasion capability based on reinforcement learning. For evaluation the agents, we did learning process, in order to find the agent, who makes the best solutions for raising capital.
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