On A Real-Time Control Model for Robust Multi Agent Systems Under Uncertain Environment

针对大规模、实时的知识处理，对不确定环境下多智能体系统的协作机制进行了研究。提出了有效解决复杂多智能体协作问题的算法、基于多智能体系统的自组织信息共享算法和不确定环境下的知识发现算法，提出了普适计算环境下不确定环境下的多智能体协作框架。为了对开发的系统进行评估，我们实现了我们的协作框架的应用。这些应用是(1)自组织信息共享系统，以及(2)基于定性模拟的实时知识处理系统，如下所述。我们实现了一种先进的Web实现方法，可以直接在Web浏览器上编辑和制作网页，以便在泛在环境下有效地开发应用程序。(1)提出了一种新的关键词抽取MET…更适合使用收集的论文生成用户配置文件，而无需使用大型语料库。我们假设用户的兴趣存在于论文中。我们的方法可以提取出能够表达用户兴趣的关键词，即用户兴趣存在的论文。我们的方法可以用于增强论文收集和共享系统。通过使用该方法自动构建用户配置文件。通过实验验证了该方法能够有效地提取出代表用户兴趣的关键字。(2)提出了一种基于定性模拟的经济学习系统支持方法。我们使用定性模拟，因为这可以让学习者理解经济动力学中的概念原理。该系统通过建立部分相邻关系/图形模型来支持用户，支持用户在图形模型中存在不一致和错误关系时显示不一致和错误规则的错误，其贡献在于(A)开发了一个面向大规模不确定性文档数据库的信息共享系统，(B)不确定环境下的Web开发方法，(C)基于定性推理的不确定教育支持的设计与实现方法，(4)不确定智能体之间的协作协议。较少

We have conducted researches on cooperation mechanisms of multiagent systems under uncertain environments for massive-scale and real time knowledge processing. We developed an algorithm to effectively solve complex multiagent cooperation, an algorithm for ad-hoc information sharing algorithm based on a multiagent system, and a knowledge discovery algorithm under uncertain environment.We developed a multiagent cooperation framework under uncertain environments for ubiquitous computing environment. We implemented applications of our cooperation framework in order to evaluate the developed system. The applications are (1) ad-hoc information sharing system, and (2) a real time knowledge processing system based on qualitative simulations, describing below. We realized an advanced web implementation methodology, which can be used to directly edit and make web pages on a web browser, for ubiquitous environments to effectively develop the applications.(1)We propose a new keyword extraction met … More hod for generating a user profile using collected papers without using a large corpus. We assume that a user's interest exists in papers. Our method can extract keywords that can express user's interest in papers that user's interest exists. Our method can be used for enhancing the paper collection and sharing system. User profiles are automatically constructed by using the method. We conducted several experiments to show how effectively our method can extract keywords that represent user's interests.(2)We developed a support method of economic learning system based on qualitative simulation. We employ qualitative simulations because this lets the learners can understand the conceptual principles in economic dynamics. This system supports users through making partial-adjacent relationships/graph model and supports users displaying errors about inconsistency and incorrect rules when there are inconsistency and mistaken relationship in the graph model made by users.Our contributions are (a) a development of an information sharing system for large-scale document databases with uncertainty, (b) a development methodology on the web under uncertain environment, (c) a design and implementation method based on qualitative reasoning for educational support with uncertainty, and (4) a cooperation protocol among uncertain agents. Less