• International Journal of Fuzzy Logic and Intelligent Systems
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• v.5 no.3
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• pp.216-221
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• 2005

The rapid growth and spread of the World Wide Web has made it possible to easily access a variety of useful information. It is, however, very difficult to retrieve, manage, and use the desired information in web. Various kinds of systems such as Search engines, MetaSearch engines, Spiders, Softbots, Intelligent Agents or Web Agents have been developed by a large number of researchers and companies. Those systems as intelligent agent are employed to avoid the overload of information. To efficiently improve the Software Agents, it is necessary to represent and classify the retrieved data. And to improve performance of the Intelligent Agents to create the classification, it is offered how to evaluate the propriety with other information retrieved from the Web and to recommend to the user the most suitable information.

• The KIPS Transactions:PartB
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• v.10B no.1
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• pp.1-12
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• 2003

In this paper, we Introduce the Unreal Tournament (UT) game and the Gamebots system. The former it a well-known 3D first-person action game and the latter is an intelligent agent research testbed based on UT And then we explain the design and implementation of KGBot, which is an intelligent non-player character deploying effectively within the 3D virtual environment provided by UT and the Gamebots system. KGBot is a bot client within the Gamebots System. KGBot accomplishes its own task to find out and dominate several domination points pro-located on the complex surface map of 3D virtual environment KGBot adopts UM-PRS as its control engine, which is a general BDI agent architecture. KGBot contains a hierarchical knowledge base representing its complex behaviors in multiple layers. In this paper, we explain details of KGBot's Intelligent behaviors, tuck af locating the hidden domination points by exploring the unknown world effectively. constructing a path map by collecting the waypoints and paths distributed over the world, and finding an optimal path to certain destination based on this path graph. Finally we analyze the performance of KGBot exploring strategy and control engine through some experiments on different 3D maps.

• Journal of the Korea Society of Computer and Information
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• v.7 no.1
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• pp.88-93
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• 2002

In this thesis, we propose an Intelligent Agent based on CORBA technology which can exchange and share data under distributed computing environment using Agent Communication Language(ACL), Recently, due to the rapid development of network technology, the need for the database management appeared. So representative standard, CORBA have been applied and used under distributed environment. Agent applications are being developed for various fields such as electronic commerce, user interface, information retrieval. When a user searches goods, he navigates several servers on different platform until he finds desired goods. The Intelligent Agent presented in this thesis, does these tedious navigations on behalf of the user through communication between different platform.

• The KIPS Transactions:PartB
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• v.9B no.2
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• pp.147-154
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• 2002

In bulding Intelligent Agent Societies (IAS), it is very important to design and implement coordination in accordance with the known requirement and anticipated working conditions. Coordination consists of a set of mechanisms necessary for the effective operation of IAS. Currently, there is little theoretical support that could help in this research is to generate an empirically-based solving systems in which all agent share an identical goal structure and fully cooperate. And we developed a simulation model called "P-System" which produces basic data to be used for statistical analysis to generate a theory of coordination. Coordination among agent in the P-System is dependent on 23 control variables calld TEs(tweakable emtities.)And the level of coordination is represennted by an independent variabe called QMC (Quality Measure Coordination) expressed in numerical terms according tn the definiion of this study. Also, we have studied how to select unbiased subset from the huge total experimental space of the P-System and how to decide the scale of the subset.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 1999.10a
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• pp.33-51
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• 1999

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2004.10a
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• pp.243-270
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• 2004

• The Journal of Society for e-Business Studies
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• v.4 no.3
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• pp.119-137
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• 1999

The World Wide Web(WWW) has provided multi-media cyberspace for electronic markets where suppliers and demanders can do global electronic business with each other directly and conveniently. There are two contradictory views on the roles of intermediaries in electronic markets. One says we may not need intermediaries in doing business because suppliers and demanders can contact with each other directly in electronic markets. The other thinks that the intermediary function may be vertically decomposed from the company's internal value chain because it can be done more efficiently through networks by external intermediaries. Intelligent software agent is a new emerging technology in the field of computer science. An intelligent agent can support and do actions on behalf of users on computer networks. We think that this technology can be utilized to implement more efficient cybermediaries for electronic commerce. This paper proposes an XML-based framework for financial software agent, which selects financial products best fitted for the customer's needs in electronic market environment.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2003.09a
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• pp.74-77
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• 2003

In this paper, we propose a new personal agent for generating the combinational services from using history of appliances in the home network environment. In such environment, it is required that flexible services can be provided by combining services of appliances and unskillful users can use these services without knowledge. So, it is needed to satisfy following: (1) combinational services can be suggested automatically and (2) the increase of services can be followed. Then, we propose a new personal agent that suggests combinational services by learning the lifestyle. Its learning mechanism is based on Self-Organizing Map (SOM), and can follow the increase of services. We implemented the the agent, and use history of a user for two weeks was made to learn. As the result, we confirmed that the agent can extract services related with time or location and can suggest combinational services.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2006.05a
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• pp.275-278
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• 2006

멀티 에이전트(Multi-Agent)들이 상호 연동하여 공통의 목적을 수행하기 위해서는 에이전트를 관리하는 매니지먼트 에이전트(Management Agent)가 요구되고, 주어진 환경에서 획득한 제한된 지식을 효율적으로 이용하는 방법이 필요하다. 본 논문에서는 네이브 베이즈 이론을 적용하여 각 에이전트의 속성값(Attribute Value)에 따라 매니지먼트 에이전트가 각 에이전트를 효율적으로 관리할 수 있는 NBMA(Naive Bayes Management Agent)를 제안하고 이를 이용한 미팅 참가 결정 에이전트를 제안한다. NBMA는 고유한 속성을 지닌 여러 개의 하위 에이전트와 그들을 관리하는 매니지먼트 에이전트로 구성되어 있으며 매니지먼트 에이전트는 하위 에이전트들의 고유한 속성에 대한 메타지식을 이용하여 관리 하도록 한다. 하위 에이전트간에는 상호 조건부 독립(mutually conditional independence) 가정하에 복수의 속성값을 취하며 이러한 속성값에 따라 매니지먼트 에이전트가 조정과 의사결정을 하도록 한다.

• Proceedings of the Korea Society for Industrial Systems Conference
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• 2002.06a
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• pp.7-20
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• 2002

Corporate sectors and individuals are in need of valuable and relevant information to swiftly adapt to the Internet-driven business or educational environment. This research employs the intelligent survey agent and online application form to help people to locate the information they would want from internet quickly. Based on Internet GUI environment, this user-friendly outline survey and outline application form program uses the agent concept to provide the customized, individual information to the users who registered their survey answers, to the extent of increasing the interest and participation of users. The system helps along with the decision making process, by quickening the information gathering process.