• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2002년도 ICCAS
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• pp.92.4-92
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• 2002

In this paper, as an ideal test bed for studies on multi-agent system, the multiple micro robot soccer playing system is introduced at first. The construction of such experimental system has involved lots of kinds of challenges such as sensors fusing, robot designing, vision processing, motion controlling, and especially the cooperation planning of those robots. So in this paper we want to stress emphasis on how to evolve the system automatically based on the model of behavior-based learning in multi-agent domain. At first we present such model in common sense and then apply it to the realistic experimental system . At last we will give some results showing that the proposed approach is feasi...

• Journal of Information Processing Systems
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• 제11권4호
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• pp.630-642
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• 2015

In Jøsang's subjective logic, the fusion operator is not able to fuse three or more opinions at a time and it cannot consider the effect of time factors on fusion. Also, the base rate (a) and non-informative prior weight (C) could not change dynamically. In this paper, we propose an Improved Subjective Logic Model with Evidence Driven (ISLM-ED) that expands and enriches the subjective logic theory. It includes the multi-agent unified fusion operator and the dynamic function for the base rate (a) and the non-informative prior weight (C) through the changes in evidence. The multi-agent unified fusion operator not only meets the commutative and associative law but is also consistent with the researchers's cognitive rules. A strict mathematical proof was given by this paper. Finally, through the simulation experiments, the results show that the ISLM-ED is more reasonable and effective and that it can be better adapted to the changing environment.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2021년도 춘계학술발표대회
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• pp.369-372
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• 2021

Scheduling the movements of trains in the modern railway system is becoming essential and important. Swiss Federal Railway Company (SBB) and machine learning researchers began collaborating to make a simulation environment and held a Flatland challenge. In this paper, the methodologies of the winners of this competition are analyzed to achieve insight and research trends. This problem is similar to the Multi-Agent Path Finding (MAPF) and Vehicle Rescheduling Problem (VRSP). The potential of the attempted methods from the Flatland challenge to be applied to various transportation systems as well as railways is discussed.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제3권2호
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• pp.133-137
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• 2003

Various bioinformatics tools for biological data processing have been developed and most of them are available in public. Most bioinformatics works are carried out by a composite application of those tools. Several integration approaches have been proposed for easy use of the tools. This paper proposes a new multi agent system to integrate bioinformatics tools in the perspective of workflow since the composite applications of tools can be regarded as workflows. For the easy integration, the proposed system employs wrapper agents for existing tools, uses XML-based messages in the inter-agent communication, and agents are supposed to extract necessary information from the received messages. This allows new tools to be easily added on the integration framework. The proposed method allows various control structures in workflow definition and provides the progress monitoring capability of the on-going workflows. In particular, agents in this system have the rule-based architecture which allows the defined rule set to be a special role agent. This feature provides fast and flexible agent development to aid in managing the complexity of bioinformatics application. This system has been partially implemented and has been proven to be a viable implementation for workflow-based bioinformatics tool integration.

• 전기학회논문지
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• 제62권3호
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• pp.322-331
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• 2013

This paper describes the development of the pilot plant of distributed intelligent management system for a microgrid. For optimal control and management of microgrids, intelligent agents area applied to the microgrid management system. Each agent includes intelligent algorithms to make decisions on behalf of the corresponding microgrid entity such as distributed generators, local loads, and so on. To this end, each agent has its own resources to evaluate the system conditions by collecting local information and also communicating with other agents. This paper presents key features of the data communication and management of the developed pilot plant such as the construction of mesh network using local wireless communication techniques, the autonomous agent coordination schemes using plug-and-play functions of agents and contract net protocol (CNP) for decision-making. The performance of the pilot plant and developed algorithms are verified via real-time microgrid test bench based on hardware-in-the-loop simulation systems.

• 한국정보과학회논문지:소프트웨어및응용
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• 제36권3호
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• pp.200-207
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• 2009

인구의 급속한 고령화와 더불어 국민의 복지수준이 향상됨에 따라 건강문제에 대한 효율적인 해결방안으로 병원을 방문하지 않고 의료 서비스를 받는 U-Healthcare의 필요성이 증대되고 있다. 최근 다양한 센서들을 이용하여 사용자의 생체정보 및 주변의 상황정보들을 수집하고 분석해 사용자에게 적절한 서비스를 제공하기 위한 시스템에 대한 연구가 활발히 진행되고 있다. 기존의 U-Healthcare 서비스를 위한 시스템들은 특정 서비스만을 대상으로 하여 다른 서비스로의 확장 및 연계가 어렵고, 다수의 사용자를 대상으로 일반화된 서비스를 제공하고 있어 사용자 개개인의 특성을 고려한 서비스를 제공 기능이 미약하다. 본 논문에서는 이러한 문제점을 해결하기 위해 멀티에이전트 기반의 상황인식 에이전트를 이용해 시스템의 확장성을 높이고, GUI 기반의 모델링 툴킷 JaUCE를 사용하여 고객 개개인의 상황에 맞는 상황 정보를 모델링 함으로써 고객들에게 가장 적합한 상황인식 서비스를 제공한다. 본 논문에서는 제안된 상황 인식 에이전트와 모델링 툴킷의 이용하여 상황인식 기반의 U-Silvercare 서비스를 설계하고 구현하였다.

• 한국자동차공학회논문집
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• 제14권5호
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• pp.84-92
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• 2006

Freeway Corridors consist of urban freeways and parallel arterials that drivers can use alternatively. Ramp metering in freeways and signal control in arterials are contemporary traffic control methods that have been developed and applied in order to improve traffic conditions of freeway corridors. However, most of the existing studies have focused on either optimal ramp metering in freeways, or progression signal strategies between arterial intersections. There have been no traffic control systems in Korea that integrates the freeway ramp metering and arterial signal control. The effective control strategies for freeway operations may cause negative effects on arterial traffic. On the other hand, traffic congestion and bottleneck phenomenon of arterials due to the increasing peak-hour travel demand and ineffective signal operation may generate an accessibility problem to freeway ramps. Thus, the main function of the freeway which is the through-traffic process has not been successful. The purpose of this study is to develop an integrated control model that connects freeway ramp metering systems and signal control systems in arterial intersections. And Optimization of integrated control model which consists of ramp metering and signal control is another purpose. Optimization results are verified by comparison with the results from MATDYMO.

• 한국자동차공학회논문집
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• 제15권1호
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• pp.8-15
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• 2007

Freeway corridors consist of urban freeways and parallel arterials that drivers can use alternatively. Ramp metering in freeways and signal control in arterials are contemporary traffic control methods that have been developed and applied in order to improve traffic conditions of freeway corridors. However, most of the existing studies have focused on either optimal ramp metering in freeways, or progression signal strategies between arterial intersections. There have been no traffic control systems in Korea that integrates the freeway ramp metering and arterial signal control. The effective control strategies for freeway operations may cause negative effects on arterial traffic. On the other hand, traffic congestion and bottleneck phenomenon of arterials due to the increasing peak-hour travel demand and ineffective signal operation may generate an accessibility problem to freeway ramps. Thus, the main function of the freeway which is the through-traffic process has not been successful. The purpose of this study is to develop an integrated control model that connects freeway ramp metering systems and signal control systems in arterial intersections. And Optimization of integrated control model which consists of ramp metering and signal control is another purpose. The design of experiment, neural network, and simulated annealing are used for optimization.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2004년도 ICCAS
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• pp.896-902
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• 2004

The purpose of the study of multi-robot system is to realize multi-robot system easy for the control of robot system in case robot is adapted in the complicated environment of task structure. The purpose of the study of multi-robot system is to realize multi-robot system easy for the control of robot system in case robot is adapted in the complicated environment of task structure. To make real time control possible by making effective use of recognized information in this dynamic environment, suitable distribution of tasks should be made in consideration of function and role of each performing robots. In this paper, IHMA (Intelligent Hybrid Modular Architecture) of Intelligent combined control architecture which utilizes the merits of deliberative and reactive controllers will be suggested and its efficiency will be evaluated through the adaptation of control architecture to representative multi-robot system.

• 경영정보학연구
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• 제4권2호
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• pp.223-236
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• 2002

복잡한 의사결정과 협상 환경을 위한 에이전트 기반 시스템은 환경에 대한 감지 및 반응이라는 간단한 작동방식을 가지는 다중 에이전트 시스템과는 다르게 접근되어야 한다. 본 논문에서는 가상 생산 환경을 응용 분야로 하여 복잡한 의사결정과 협상 환경을 위한 다중에이전트 시스템을 구현하는 과정에서 발생하는 연구이슈를 정리하고, 이들을 해결하는 하나의 사례를 제시한다. 가상 생산 환경은 다수 조직치 존재, 자원제약의 문제, 시간이 제한된 상황에서의 일정 계획 문제 등 복잡한 의사결정과 협상 환경의 전형적인 요소를 가지고 있다. 이 문제를 해결하기 위해서, 본 연구는 시간제약하에서의 외부협상 및 내부협력을 위한 프로토콜을 개발하고, 실세계의 시간제약을 만족하는 범위에서 최적화모형과 휴리 스틱모형을 상황적으로 적응하는 체계를 제시하며, 에이전트간의 소통 메시지를 이들 의사결정모형으로 모형화하는 과정을 예시한다.