• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2003.05a
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• pp.269-272
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• 2003

웹을 이용한 교수-학습모형인 WBI 학습을 촉진시키기 위해서 교육전문가에 의해 검증된 학습자료를 효율적으로 관리하는 시스템을 구축하고, 사용자가 원하는 문서를 추정하여 제시한다. 사용자가 참조한 문서들에 대하여 에이전트가 추가, 삭제 등을 자율적으로 하며, 참조 문서간의 유사도를 측정한다. 이 유사도를 이용하여 적합한 문서를 추정하고 제시함으로서 사용자의 불명확한 정보요구에도 적합한 문서를 제공할 수 있다. 따라서, 사용자의 정보수집을 지원하고 웹을 통한 학습환경을 개선하여 WBI 학습을 촉진시킬 수 있다.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2006.11a
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• pp.3-6
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• 2006

분산 환경에서의 자원 및 서비스를 활용하여 응용 시스템을 구축하기 위한 패러다임으로서 다중 에이전트 구조가 많아 연구되어 왔다. 이 논문에서는 다양한 자원 및 서비스를 개방적으로 활용하기 위해, 웹서비스의 개방적인 환경을 활용하여 에이전트 및 웹서비스 객체를 효과적으로 이용할 수 있도록 하는 개방형 다중 에이전트 시스템 구조에 대해서 소개한다.

• Journal of Internet Computing and Services
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• v.5 no.5
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• pp.69-77
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• 2004

As the internet is widely distributed. the intelligent search agent is commonly used to meet the needs of user. But these Intelligent multi-agents are so independent each other that they can not give reliability of information and also have difficulty in coping with the dynamic distributed environments due to the short of cooperation abilities among multiagent. To resolve these problems. this paper proposes the mechanism for efficient cooperation and information processing by creating agency within broker agent and clustering multi agent's agency using neural network. For reliability of information. we also propose the multiagent management mechanism that can improve the information update problems which are in existing search systems and evaluate the performance of this research through simulation.

• 제어로봇시스템학회:학술대회논문집
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• 2005.06a
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• pp.68-73
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• 2005

Various techniques have been proposed for detection and tracking of targets in order to develop a real-world computer vision system, e.g., visual surveillance systems, intelligent transport systems (ITSs), and so forth. Especially, the idea of distributed vision system is required to realize these techniques in a wide-spread area. In this paper, we develop a ubiquitous vision system for location-awareness of multiple targets. Here, each vision sensor that the system is composed of can perform exact segmentation for a target by color and motion information, and visual tracking for multiple targets in real-time. We construct the ubiquitous vision system as the multiagent system by regarding each vision sensor as the agent (the vision agent). Therefore, we solve matching problem for the identity of a target as handover by protocol-based approach. We propose the identified contract net (ICN) protocol for the approach. The ICN protocol not only is independent of the number of vision agents but also doesn't need calibration between vision agents. Therefore, the ICN protocol raises speed, scalability, and modularity of the system. We adapt the ICN protocol in our ubiquitous vision system that we construct in order to make an experiment. Our ubiquitous vision system shows us reliable results and the ICN protocol is successfully operated through several experiments.

• Journal of Institute of Control, Robotics and Systems
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• v.8 no.12
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• pp.1014-1022
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• 2002

An objective of Automated Highway Systems (AHS) is to increase the safety and throughput of the existing highway infrastructure by introducing traffic automation. AHS is an example of a large scale, multiagent complex dynamical system and is ideally suited for a hierarchical hybrid controller. We discuss a design issue of efficient hybrid controllers for the platoon maneuvers on AHS. For the modeling of a hybrid system including the merge and split operations, a safety distance policy is introduced for the merge and split operations. After that, the platoon system will be modeled by a hybrid system In addition, a hybrid controller for the proposed merge and split operation models is presented. Finally, the performance of the proposed hybrid control scheme is demonstrated via scenarios for platoon maneuvers.

• 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.

• Transactions on Control, Automation and Systems Engineering
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• v.1 no.2
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• pp.147-152
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• 1999

It is an interesting area in the field of artifical intelligence to find an analytic model of cooperative structure for multiagent system accomplishing a given task. Usually it is difficult to design controllers for multi-agent systems without a comprehensive knowledge about the system. One of the way to overcome this limitation is to implement an evolutionary approach to design the controllers. This paper introduces the use of a genetic algorithm to discover a fuzzy logic controller with rules that govern emergent agents solving a pursuit problem in a continuous world. Simulation results indicate that, given the complexity of the problem, an evolutionary approach to find the fuzzy logic controller seems to be promising.

• Journal of the Korean Institute of Intelligent Systems
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• v.15 no.3
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• pp.382-388
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• 2005

We apply estimations of the intuitionistic fuzzy sets on the basis of which some amendments nay be undertaken. In particular, this paper describes the process of working out a university classes schedule.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2007.11a
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• pp.407-410
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• 2007

자율컴퓨팅은 관리자나 사용자의 개입없이 시스템이나 서비스가 원활하게 동작되는 환경으로 구조조정, 최적화, 치료, 방어 등을 위한 여러가지 기술이 복합적으로 요구된다. 태스크를 자율적으로 완수하고 최적으로 수행하기위한 자율적 계획수립 및 계획실행은 자율컴퓨팅에서 필요한 요소기술이다. 이 논문에서는 목표의 실패없는 수행을 위한 여러 잠재적인 실행경로를 포함하는 강건한 계획수립과 다중 에이전트 구조를 이용하여 가용한 자원에 대한 전반적인 고려와 함께 실행시점의 상황을 반영하여 최적의 실행경로에 따라 계획을 실행하게 하는 방법을 제안한다.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 1998.06a
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• pp.170-175
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• 1998

Transporting a large table using multiple robotic agents requires at least two group behaviors of homing and herding which are to bo coordinated in a proper sequence. Existing GP methods for multi-agent learning are not practical enough to find an optimal solution in this domain. To evolve this kind of complex cooperative behavior we use a novel method called fitness switching. This method maintains a pool of basis fitness functions each of which corresponds to a primitive group behavior. The basis functions are then progressively combined into more complex fitness functions to co-evolve more complex behavior. The performance of the presented method is compared with that of two conventional methods. Experimental results show that coevolutionary fitness switching provides an effective mechanism for evolving complex emergent behavior which may not be solved by simple genetic programming.