知識經濟發展過程中，不斷「創造」、「發掘」及「傳送」新知識，知識的累積成為一種無形的價值，相對的也是一種負擔，知識如何有效管理與提供良好的存取環境，便是一門值得探討的學問。本研究為了呈現生產者與消費者的資訊模型，並且試圖建立一個代理人知識交換的典範，利用「納許均衡」的選舉預測特定領域知識來建構符合FIPA(Foundation for Intelligent Physical Agents ) 規範的知識本體，在知識本體為基礎下，以代理人技術來呈現資訊的流動。
　　本研究實作出「分散式平台」，在「納許均衡」的選舉預測特定知識領域下，整合知識本體、代理人與知識庫三項技術，設計出賦予任務與角色的代理人，使代理人具有「自主」、「共同認知」與「社交能力」的特性。代理人資訊的產生也能符合FIPA規範，並且利用此平台進行有效溝通與交互作用，將具有「定義」與「關聯」特性的資訊，以XML文件形式儲存在知識庫中，保留資訊的完整關聯性。

　　In the developing of knowledge-based applications, we are facing the knowledge management issues in document creation, knowledge discovery, sharing and transferring. How to create a suitable platform to making easy access is a big challenge in recent agent-based system. This research presents a provider-consumer information model to demonstrate the knowledge exchanging process under the Ontology-based message structure. We demonstrate the information flow among agents by using Nash Equilibrium model, specific for Election Prediction application. This multi-agent system is implemented and confirmed to Ontology of FIPA (Foundation for Intelligent Physical Agents) standard.
　　In this paper, a distributed platform is implemented to demonstrate the integration process. Ontology, Agents, and Knowledge Base technologies are got involved to make communication between agents more productive. Agents would be designed to play the specified roles and show up the desirable characteristics such as autonomous, common sense and social ability. Information generated from the agents are well formed to satisfy the FIPA standard. Our case studies demonstrate the communication and their interaction effectively via storing the XML-based information about the definition and relation characteristics into the Knowledge Base.

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