• Journal of Korea Society of Industrial Information Systems
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• v.4 no.4
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• pp.79-87
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• 1999

This paper proposes a searching system with a mobile agent which retrieve data from the distributed hosts. The proposed system dispatched the movable objects, so called AGLET, to the distributed hosts in order to perform a task given by a client or a server. The network of the existing system must not be disturbed during a task is performing. However our system has the strong point that a task can be performed even if the network is disconnected on the way. When the network is disconnected, the system can get the results later after the network system is connected again. Designing the system has been done by using UML(Unified Modeling Language) which is a standardized object-oriented modeling language. AGLET, a pure JAVA product of IBM, is used for the mobile agent.

• Journal of the Korean Society of Fisheries and Ocean Technology
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• v.44 no.1
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• pp.57-67
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• 2008

Recently, Korean shipbuilding industry is keeping up the position of world wide No. 1 in world shipbuilding market share. It is caused by endless efforts to develope new technologies and methods and fast development of IT technologies in Korea, to raise up its productivities and efficiency in shipbuilding industry with many kinds of optimizing methods including genetic algorithm or artificial life algorithm... etc. In this paper, we have suggested the artificial life algorithm with relay search micro genetic algorithm. and we have improved a defect of simple genetic algorithm for its slow convergence speed and added a variety of solution candidates with applying relay search simple genetic algorithm. Finally, we have developed intelligent agent system for ship CAE modeling. We have tried to offer some conveniences a ship engineer for repeated ship CAE modeling by changing ship design repeatedly and to increase its accuracy of a ship model with it.

• International Journal of Computer Science & Network Security
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• v.24 no.4
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• pp.147-154
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• 2024

The continuous increase in urban population due to migration of mases from rural areas to big cities has set urban water supply under serious stress. Urban water resources face scarcity of available water quantity, which ultimately effects the water supply. It is high time to address this challenging problem by taking appropriate measures for the improvement of water utility services linked with better understanding of demand side management (DSM), which leads to an effective state of water supply governance. We propose a dynamic framework for preventive DSM that results in optimization of water resource management. This paper uses Agent Based Modeling (ABM) with Digital Twin (DT) to model water consumption behavior of a population and consequently forecast water demand. DT creates a digital clone of the system using physical model, sensors, and data analytics to integrate multi-physical quantities. By doing so, the proposed model replicates the physical settings to perform the remote monitoring and controlling jobs on the digital format, whilst offering support in decision making to the relevant authorities.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2007.11a
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• pp.71-74
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• 2007

오늘날 자연재해 발생 빈도수가 증가하고 있어 ESP(Energy Service Provider)와 대수용가에 서는 예기치 못한 정전 및 에너지 중단과 같은 이벤트가 발생하면 재산상의 손실과 같은 피해가 커지고 있다. 이에 에너지 포털 시스템에서 발생활 수 있는 다양한 이벤트들을 실시간으로 처리할 수 있는 효율적인 이벤트 모델링 개발이 필요하다. 그러나 현재 이러한 이벤트 처리를 위한 이벤트 모델링 개발은 거의 이루어지고 있지 않다. 이에 본 논문에서는 에너지 포털 시스템에서 발생하는 정전과 같은 이벤트와 원격 검침 둥과 같은 부가 서비스를 제공함에 따라 발생하는 이벤트들을 지능을 가진 실시간 에이전트를 사용하여 웹 환경에서 W3C 이벤트 처리 권고안인 DOM 모델을 기반으로 esXML(energy system eXtensible Markup Language)을 사용하여 효율적으로 처리할 수 있는 모델링을 개발하였다.

• Journal of Korea Multimedia Society
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• v.10 no.6
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• pp.799-806
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• 2007

The prototypical smart environment to support the context-aware interactions between user and ubiquitous campus environment based on multi-agent system paradigm is proposed in this paper. In this model, the dynamic Bayesian is investigated to solicit and organize agents to produce information and presentation assembly process in order to allocate the resources for an unseen task across multiple services in a dynamic environment. The user model is used to manage varying user constraints and user preferences to achieve system's goals.

• Korean Management Science Review
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• v.32 no.2
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• pp.125-143
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• 2015

When studying the film industry, researchers have seldom addressed the dynamic interaction between marketing information and word of mouth in the motion picture industry mainly because of the limitation of traditional research methodologies. This study explores integration and competition among important variables influencing on audience's choice on movie selection, particularly by using a new method of agent-based modeling including competitive environment. Decision process of moviegoer composed of transition probability based on multinomial logit model, considering marketing and box-office information, critique, and word of mouth from other moviegoers. After validating the fitness of market share among released movies, this study conducted a set of simulation experiments considering several variables such as market size, change of weight between variables, and movie performance under competition. Propositions are derived from the simulation results is also suggested for future research.

• Journal of Integrative Natural Science
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• v.1 no.2
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• pp.67-75
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• 2008

행위자 기초 모형을 이용하여 행위자의 시장에 대한 불균일한 영향력에 대한 연구를 수행하였다. 이때 가중치를 금융시장에서 행위자 간의 공유하는 정보의 영향력의 크기로 사용하였으며 가중치의 크기와 분포가 수익의 변동에 기여하는 것을 관찰하였다. 행위자들의 가중치의 크기가 평균적으로 클수록 가격의 변동의 크기도 같이 증가함을 알 수 있었으며 가중치의 크기뿐만 아니라 가중치의 분포에 따라서도 수익의 분포가 변하게 된다. 이는 신흥시장과 성숙한 시장에서 관찰되는 분포의 차이와 관련하여 유사성을 찾아볼 수 있을 것이라는 가능성을 제공한다. 행위자의 정보의 영향력은 항상 일정하지 않고 그 영향력이 행위자의 시장 예측에 대한 적중률에 따라 변하게 된다. 이렇게 변화하는 행위자들의 정보의 영향력의 분포는 결국 소수의 큰 영향력을 갖는 행위자와 다수의 영향을 거의 끼치지 못하는 행위자들로 분포되게 된다. 그 분포는 초기의 행위자들의 영향력 분포가 어떻게 되었든 간에 충분히 시간이 흐르면 모두 멱법칙을 따르는 분포를 갖게 된다.

• Journal of Information Processing Systems
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• v.1 no.1 s.1
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• pp.107-111
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• 2005

When a pedagogical agent system aims to provide students with interactive help, it needs to know what knowledge the student has and what goals the student is currently trying to achieve. That is, it must do both assessment and plan recognition. These modeling tasks involve a high level of uncertainty when students are allowed to follow various lines of reasoning and are not required to show all their reasoning explicitly. In this paper, the student model for interactive edutainment applications is proposed. This model is based on Bayesian Networks to expose constructs and parameters of rules and propositions pertaining to game and problem solving activities. This student model could be utilized as the emotion generation model for student and agent as well.

• Proceedings of the Korean System Dynamics Society
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• 1999.08a
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• pp.133-157
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• 1999

시스템 다이나믹스는 전통적인 단선론적 인과론을 극복하고 시스템의 동태적 특성을 파악하는데 상당한 공헌을 하였다. 그러나 이러한 시스템의 특성을 방정식에 의존하는 시뮬레이션 기법(Equation-Based Simulation:EBS)을 이용하여 분석하는 경우 방정식으로 묘사하기 어려운 복잡적응시스템(Complex Adaptive System)에서는 한계를 갖고 있다. 따라서 시스템의 동태적 특성을 좀더 정확히 파악을 하기 위해서는 시스템을 구성하는 개체(agent)들의 행동이 시스템 전체에 미치는 영향들을 모형화 함으로써 파악하는 것이 바람직하다고 할 수 있다. 본 연구는 이러한 개체지향 시뮬레이션(Agent-eased Simulation: ABS)의 기법을 복잡성과학의 패러다임을 소개함으로써 그 중요성을 설명하고자 한다. 특히 카오스 이론으로부터 복잡성과학으로의 발전 과정을 개념을 중심으로 논의함으로서 복잡적응시스템의 이해를 돕고자 한다. 또한 ABS가 실제로 전통적인 EBS가 묘사하는 생태계 시스템의 변화를 잘 묘사할 수 있다는 사실을 보여주기 위하여 3개체가 있는 Lotka-Voltera 모형을 Cellular Automata 라는 ABS에 기반 한 시뮬레이션 기법을 활용하여 그 사용가능성을 제시하고자 한다.

• 제어로봇시스템학회:학술대회논문집
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• 2001.10a
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• pp.164.1-164
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• 2001

Q-learning is a recent reinforcement learning algorithm that does not need a modeling of environment and it is a suitable approach to learn behaviors for autonomous agents. But when it is applied to multi-agent learning with many I/O states, it is usually too complex and slow. To overcome this problem in the multi-agent learning system, we propose the successive Q-learning algorithm. Successive Q-learning algorithm divides state-action pairs, which agents can have, into several Q-functions, so it can reduce complexity and calculation amounts. This algorithm is suitable for multi-agent learning in a dynamically changing environment. The proposed successive Q-learning algorithm is applied to the prey-predator problem with the one-prey and two-predators, and its effectiveness is verified from the efficient avoidance ability of the prey agent.