On a coalition formation algorithm based on a multiagent system for distributed decision support systems

研究了分布式决策支持系统中基于多智能体系统的联盟形成算法。我们提出了一种新的多智能体谈判方法，其中包括多个谈判和代理之间的说服偏好修正。我们已经实现了一些应用系统，看看如何有效地使用协商方法如下。(a)一个在线拍卖中的自主投标策略规划系统我们开发了一个算法，可以自主地制定一个有效的在线拍卖投标策略的代理。我们的算法还可以在困难的情况下制定有效的策略，例如，多个项目具有复杂的关系（例如时间和偏好顺序）。利用该算法开发了在线拍卖支持系统，支持竞价和浏览信息。(b)一种基于Agent间协商的联盟形成系统提出了一种基于Agent间协商的联盟形成算法。我们 ...更多信息 形式化了一个多Agent协商模型，使Agent能够在用户之间达成合理的、较好的协议，并在此基础上开发了一个解决Agent之间合理协议的机制。在会议调度系统中，一个代理被分配给一个用户谁计划私人和公共日程。代理通过参考用户的私人时间表和偏好与其他代理协商制定公共时间表。多重协商有助于有效地达成代理之间的协议。研究结果表明，基于私有偏好的多Agent协商是一种有效的分布式会议调度方法，研究成果可概括为以下几个方面：（1）提出了新的移动的Agent构造方法及其应用。移动的代理是利用全球信息网络的有前途的先进技术。(2)我们开发的方法，可用于建立智能电子商务支持系统。我们的方法将是促进未来社会信息基础设施的技术种子。(3)提出了多Agent中介分布式决策支持系统中Agent之间的联盟形成算法。该算法可广泛应用于真实的分布式决策支持系统。少

We studied on a coalition formation algorithm based on a multiagent system for distributed decision support systems. We propose a new multiagent negotiation method that includes the multiple negotiations and the preference revision in persuasion among agents. We have implemented some application systems to see how effectively the negotiation method can be used as follows.(a) An autonomous bidding strategy planning system in online auctionsWe developed an algorithm for agents that can autonomously make an effective bidding strategy in online auctions. Our algorithm can also make an effective strategy in difficult cases, like, multiple items have complex relations (e.g. time and preference orders). We developed online auction support systems using the algorithm, which support bidding and browsing information.(b) A coalition formation system using argumentation-based negotiation among agentsWe developed a coalition formation algorithm using argumentation-based negotiation among agents. We … More formalized a negotiation model for multiagent negotiation that enables agents to reach a reasonable and preferable agreement among users and developed a mechanism based on the model that can resolve a reasonable agreement among agents.c A distributed meeting scheduler using a multiple negotiationWe developed a distributed meeting scheduler using a multiple negotiation. In meeting scheduling system, an agent is assigned to a user who plans private and public schedule. An agent negotiates with other agents about making a public schedule by referring the user's private schedule and preferences. The multiple negotiations facilitates reaching an agreement among agents effectively. The result shows that the multiagent negotiation based on private preferences is an effective method for a distributed meeting scheduler.The research results can be summarized as follows; (1) we propose new building methodologies for mobile agents and their applications. Mobile agents are promising and advanced technology to utilize world-wide information networks. (2) We developed methods that can be used to build intelligent electronic commerce support systems. Our methods will be technical seeds for promoting future social information infrastructures. (3) We developed the coalition formation algorithm among agents for multiagent-mediated distributed decision support system. This algorithm can be applied to real distributed decision support systems widely. Less