{"title":"基于论证的一对多协商模型","authors":"Guorui Jiang, She-Heng Chen","doi":"10.5220/0003270402680274","DOIUrl":null,"url":null,"abstract":"Today, within the field of multi-agent systems, the theory of argumentation has become instrumental in designing rich interaction protocols and in providing agents with a means to manage and resolve conflicts. However, to date much of the existing literature focuses argumentation models based on two agents and tends to overlook the influence on knowledge base and the relationship between different negotiation processes. To end this, this paper presents an argumentation-based one-to-many negotiation model. The contributions are three points: First, we present an argumentation model based on knowledge set with different influence. Second, we extend a protocol based on dialogue game to govern the agent interactions and the update of knowledge bases in one-to-many negotiation. In doing so, our model can collect the knowledge from other negotiating partners and use it in the negotiation with another negotiating partner.","PeriodicalId":399720,"journal":{"name":"International Conference on Informatics and Semiotics in Organisations","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Argumentation-based One-to-many Negotiation Model\",\"authors\":\"Guorui Jiang, She-Heng Chen\",\"doi\":\"10.5220/0003270402680274\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Today, within the field of multi-agent systems, the theory of argumentation has become instrumental in designing rich interaction protocols and in providing agents with a means to manage and resolve conflicts. However, to date much of the existing literature focuses argumentation models based on two agents and tends to overlook the influence on knowledge base and the relationship between different negotiation processes. To end this, this paper presents an argumentation-based one-to-many negotiation model. The contributions are three points: First, we present an argumentation model based on knowledge set with different influence. Second, we extend a protocol based on dialogue game to govern the agent interactions and the update of knowledge bases in one-to-many negotiation. In doing so, our model can collect the knowledge from other negotiating partners and use it in the negotiation with another negotiating partner.\",\"PeriodicalId\":399720,\"journal\":{\"name\":\"International Conference on Informatics and Semiotics in Organisations\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-08-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Conference on Informatics and Semiotics in Organisations\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5220/0003270402680274\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Informatics and Semiotics in Organisations","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5220/0003270402680274","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Today, within the field of multi-agent systems, the theory of argumentation has become instrumental in designing rich interaction protocols and in providing agents with a means to manage and resolve conflicts. However, to date much of the existing literature focuses argumentation models based on two agents and tends to overlook the influence on knowledge base and the relationship between different negotiation processes. To end this, this paper presents an argumentation-based one-to-many negotiation model. The contributions are three points: First, we present an argumentation model based on knowledge set with different influence. Second, we extend a protocol based on dialogue game to govern the agent interactions and the update of knowledge bases in one-to-many negotiation. In doing so, our model can collect the knowledge from other negotiating partners and use it in the negotiation with another negotiating partner.