{"title":"基于BDI的多智能体信念合并与交互","authors":"Juan Ge, Hongbin Zhang, Yuchen Fu","doi":"10.1109/IITA.2007.44","DOIUrl":null,"url":null,"abstract":"In the field of intelligent information retrieval, it's meaningful to speculate a user's true intentions through the interaction and belief merger. How to improve the rate of the Precision and the Recall has become a focus. We first discussed the interactive process in multi-agent system in which there exists an agent with deficient knowledge. Using it, we can deduce a user's intention accessing to his true intention. But the problem of belief conflict can not be slide over when the process is described. We used a measure of Majority operator to solve the problem. The method can improve the efficiency of IR partially resulted from incomplete and indefinite intentions of a user's queries.","PeriodicalId":191218,"journal":{"name":"Workshop on Intelligent Information Technology Application (IITA 2007)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Multi-Agent Belief Merger and Interaction Based On BDI\",\"authors\":\"Juan Ge, Hongbin Zhang, Yuchen Fu\",\"doi\":\"10.1109/IITA.2007.44\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the field of intelligent information retrieval, it's meaningful to speculate a user's true intentions through the interaction and belief merger. How to improve the rate of the Precision and the Recall has become a focus. We first discussed the interactive process in multi-agent system in which there exists an agent with deficient knowledge. Using it, we can deduce a user's intention accessing to his true intention. But the problem of belief conflict can not be slide over when the process is described. We used a measure of Majority operator to solve the problem. The method can improve the efficiency of IR partially resulted from incomplete and indefinite intentions of a user's queries.\",\"PeriodicalId\":191218,\"journal\":{\"name\":\"Workshop on Intelligent Information Technology Application (IITA 2007)\",\"volume\":\"16 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Workshop on Intelligent Information Technology Application (IITA 2007)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IITA.2007.44\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Workshop on Intelligent Information Technology Application (IITA 2007)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IITA.2007.44","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Multi-Agent Belief Merger and Interaction Based On BDI
In the field of intelligent information retrieval, it's meaningful to speculate a user's true intentions through the interaction and belief merger. How to improve the rate of the Precision and the Recall has become a focus. We first discussed the interactive process in multi-agent system in which there exists an agent with deficient knowledge. Using it, we can deduce a user's intention accessing to his true intention. But the problem of belief conflict can not be slide over when the process is described. We used a measure of Majority operator to solve the problem. The method can improve the efficiency of IR partially resulted from incomplete and indefinite intentions of a user's queries.