{"title":"Cooperation in multi-agent system for meeting scheduling","authors":"Woo Seok Jeong, Jeong Seob Yun, G. Jo","doi":"10.1109/TENCON.1999.818547","DOIUrl":null,"url":null,"abstract":"To support the distributed meeting scheduling, the autonomous software agent should perform organizational interaction in a multi-agent system. The focus of this paper is coordinating the conflict to rearrange a meeting. We suggested extended cooperation and a rescheduling strategy that be adapted sequentially according to the level of complexity. The constraints given from the user that are inspired from the real-world, enabled the meeting scheduling system to solve the problem dynamically. The agents can automatically arrange and coordinate the meeting instead of a human. We also designed and implemented a system that supports our sophisticated strategies.","PeriodicalId":121142,"journal":{"name":"Proceedings of IEEE. IEEE Region 10 Conference. TENCON 99. 'Multimedia Technology for Asia-Pacific Information Infrastructure' (Cat. No.99CH37030)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1999-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of IEEE. IEEE Region 10 Conference. TENCON 99. 'Multimedia Technology for Asia-Pacific Information Infrastructure' (Cat. No.99CH37030)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TENCON.1999.818547","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 12
Abstract
To support the distributed meeting scheduling, the autonomous software agent should perform organizational interaction in a multi-agent system. The focus of this paper is coordinating the conflict to rearrange a meeting. We suggested extended cooperation and a rescheduling strategy that be adapted sequentially according to the level of complexity. The constraints given from the user that are inspired from the real-world, enabled the meeting scheduling system to solve the problem dynamically. The agents can automatically arrange and coordinate the meeting instead of a human. We also designed and implemented a system that supports our sophisticated strategies.