Research for Providing an incentive among the Internet users to reach reliable information

我们已经开发了一个基础设施，其中的“交互设计”和“互操作性”是保证建模的多代理域，如网格计算，电子商务，数字城市。我们的主要兴趣是在网络上的代理人和人类之间的合作。由于信息源分布广泛，每个人对特定类型的信息都有自己的偏好，为了共享和重用他人的知识，Agent必须了解能够提供可靠和有用信息的Agent。同时，从内容中提取语义是实现异构Agent之间信息共享和重用的关键问题。统计学习技术适用于语义提取和文本分类。在Web这种动态、开放的环境中进行探索时，Agent应具有自适应性， ...更多信息 灵活地搜索满足用户需求的合适信息。我们通过强化学习框架实现了智能体的自适应性，我们的研究旨在通过网络上的信息共享和利用来实现社会知识。作为第一步，我们提出了一个多代理的情况下，使我们能够设计用户之间的交互，用户和代理之间，以及代理之间。通过使用这个转换器，在组合Web服务上保证了“互操作性”，因此它可以被其他用户重用。“交互设计”和“互操作性”的概念互补地协调异质代理和具有不同动机的人。这种整体架构不仅增强了Web上用户之间的协作，而且还促进了用户-代理交互设计，因此预计将有助于协同商务和数字城市，将在未来的互联网上展开。少

We have developed an infrastructure in which "interaction design" and "interoperability" are guaranteed for modeling the multi-agent domain, such as Grid computing, Electric-commerce, and Digital city. Our main interest is collaboration on the web among the agents and human beings. The difficulties are caused by the fact that information sources are distributed widely throughout the WWW environment, and each human has its preference for the particular type of information.To share and reuse knowledge of others', the agent has to learn about the agents which would provide the reliable and useful information. At the same time, extracting semantics from contents is very critical issue to make information interoperable to be shared and be reused among the heterogeneous agents. The statistical learning techniques were applicable for extracting the semantics and a text classification. While exploring in the scene of the Web, very dynamic and open environment, the agents should be adaptive and … More flexible to trawl for appropriate information which satisfy the desire of user's. We have realized adaptive aspects of agents' by reinforcement learning frameworks.Our research aims at realizing social knowledge through sharing and employing information on the Web. As a first step, we proposed a multi-agent scenarios which enables us to design interaction between users, between users and agents, and among agents, as well. By employing this translator, "interoperability" is guaranteed on the composite Web service, and consequently it becomes reusable to other users. The concepts of "interaction design" and "interoperability" work complementarily for coordinating heterogeneous agents and humans who have different motivations. This overall architecture not only enhances collaboration between users on the Web, but also facilitates user-agent interaction design, and therefore is expected to contribute to Collaborative Commerce and Digital City that will unfold in the Internet in the future. Less