{"title":"多智能体系统的自适应组织策略——aasman","authors":"S. Fatima, G. Uma","doi":"10.1109/ICMAS.1998.699040","DOIUrl":null,"url":null,"abstract":"Several formalisms for implementing organizational policies that assign specific roles to agents in a MAS have been proposed like the contract net protocol (CNP), the social reasoning mechanism (SRM), and the distributed computational economy (DCE). Organization self design (OSD) had been proposed to achieve load balancing in a distributed environment. In this paper we propose an adaptive organizational framework that exploits the essential features of CNP, SRM and DCE and integrates these with OSD. The resulting framework not only meets the needs of time constrained non critical applications where computational load on the organization cannot be predicted ahead of time but also utilises the available system resources efficiently.","PeriodicalId":244857,"journal":{"name":"Proceedings International Conference on Multi Agent Systems (Cat. No.98EX160)","volume":"243 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1998-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"21","resultStr":"{\"title\":\"An adaptive organizational policy for multi agent systems-AASMAN\",\"authors\":\"S. Fatima, G. Uma\",\"doi\":\"10.1109/ICMAS.1998.699040\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Several formalisms for implementing organizational policies that assign specific roles to agents in a MAS have been proposed like the contract net protocol (CNP), the social reasoning mechanism (SRM), and the distributed computational economy (DCE). Organization self design (OSD) had been proposed to achieve load balancing in a distributed environment. In this paper we propose an adaptive organizational framework that exploits the essential features of CNP, SRM and DCE and integrates these with OSD. The resulting framework not only meets the needs of time constrained non critical applications where computational load on the organization cannot be predicted ahead of time but also utilises the available system resources efficiently.\",\"PeriodicalId\":244857,\"journal\":{\"name\":\"Proceedings International Conference on Multi Agent Systems (Cat. No.98EX160)\",\"volume\":\"243 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1998-07-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"21\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings International Conference on Multi Agent Systems (Cat. No.98EX160)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICMAS.1998.699040\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings International Conference on Multi Agent Systems (Cat. No.98EX160)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMAS.1998.699040","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An adaptive organizational policy for multi agent systems-AASMAN
Several formalisms for implementing organizational policies that assign specific roles to agents in a MAS have been proposed like the contract net protocol (CNP), the social reasoning mechanism (SRM), and the distributed computational economy (DCE). Organization self design (OSD) had been proposed to achieve load balancing in a distributed environment. In this paper we propose an adaptive organizational framework that exploits the essential features of CNP, SRM and DCE and integrates these with OSD. The resulting framework not only meets the needs of time constrained non critical applications where computational load on the organization cannot be predicted ahead of time but also utilises the available system resources efficiently.