{"title":"A reconfiguration algorithm for the maintenance of collective commitments","authors":"B. Dunin-Keplicz, R. Verbrugge","doi":"10.1109/ICMAS.1998.699243","DOIUrl":null,"url":null,"abstract":"The objective of this research is to define a rigorous methodology to be of help in cooperative problem solving (CPS) based on the BDI paradigm. We construct an approach sensitive to the variety of features that multiagent systems have to meet in a dynamic environment. We base our analysis on the four-stage model of (Wooldridge and Jennings, 1996), containing the consecutive stages of potential recognition, team formation, plan formation and team action. These stages are viewed as levels of an abstract architecture. This architecture is profitable in clarifying the nature of dependencies between agents involved: some of them do domain problem solving, others are responsible for the proper organization of CPS. Because of the unpredictable environment, all stages have a dynamic character and require application of methods reflecting this. When defining the levels we abstract from particular methods and algorithms that realize level-associated goals, but instead formulate their final results and associate them with the appropriate individual, social, and collective motivational attitudes.","PeriodicalId":244857,"journal":{"name":"Proceedings International Conference on Multi Agent Systems (Cat. No.98EX160)","volume":"164 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1998-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","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.1998.699243","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8
Abstract
The objective of this research is to define a rigorous methodology to be of help in cooperative problem solving (CPS) based on the BDI paradigm. We construct an approach sensitive to the variety of features that multiagent systems have to meet in a dynamic environment. We base our analysis on the four-stage model of (Wooldridge and Jennings, 1996), containing the consecutive stages of potential recognition, team formation, plan formation and team action. These stages are viewed as levels of an abstract architecture. This architecture is profitable in clarifying the nature of dependencies between agents involved: some of them do domain problem solving, others are responsible for the proper organization of CPS. Because of the unpredictable environment, all stages have a dynamic character and require application of methods reflecting this. When defining the levels we abstract from particular methods and algorithms that realize level-associated goals, but instead formulate their final results and associate them with the appropriate individual, social, and collective motivational attitudes.
本研究的目的是定义一个严谨的方法,以帮助基于BDI范式的合作问题解决(CPS)。我们构建了一种对多智能体系统在动态环境中必须满足的各种特征敏感的方法。我们的分析基于(Wooldridge and Jennings, 1996)的四阶段模型,包含潜在认知、团队形成、计划形成和团队行动的连续阶段。这些阶段被视为抽象架构的层次。这种体系结构有助于澄清所涉及的代理之间的依赖关系的性质:其中一些代理负责解决领域问题,其他代理负责适当地组织CPS。由于环境的不可预测性,各个阶段都具有动态性,因此需要应用反映这一点的方法。在定义关卡时,我们从实现关卡相关目标的特定方法和算法中抽象出来,而是制定它们的最终结果,并将它们与适当的个人、社会和集体动机态度联系起来。