• 정보처리학회논문지C
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• 제9C권4호
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• pp.497-504
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• 2002

본 논문에서는 시스템의 네트워크 구성 장애를 관리하기 위한 관리 모델과 에이전트들 간의 협력을 통한 장애의 진단 및 복구 알고리즘을 제시하고 있다. 관리 모델에는 장애의 검출, 진단, 복구의 세 단계로 이루어지며 각각은 RBR(Rule-Based Reasoning)에 기반으로 하여 규칙기반 지식 데이터베이스에 있는 규칙을 이용하여 네트워크의 구성 장애를 진단하고 복구한다. 또한 관리 도메인 상의 네트워크에 분포하고 있는 여러 에이전트들 간의 협력을 통하여 시스템 단독으로는 해결할 수 없는 복잡한 문제를 해결하거나 네트워크의 상황까지 고려하여 진단하고 복구함으로써 효율적인 시스템의 네트워크 구성 관리 알고리즘을 제시하고 있다.

• 한국지능시스템학회논문지
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• 제21권1호
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• pp.29-35
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• 2011

본 논문에서는 신재생에너지원을 포함하는 독립형 마이크로그리드시스템의 멀티에이전트시스템 기반의 분산에너지관리시스템 설계를 위한 통합시뮬레이션 모델을 제안한다. 멀티에이전트기반 분산에너지관리시스템은 일반적인 중앙에너지관리시스템에 비해 여러 장점들을 가지고 있으나 각 상태에 따른 설계가 비교적 복잡하여 기존의 전력시스템 도구를 이용하여 분산 에너지관리시스템을 설계하기에는 많은 어려운 점들이 있었다. 또한 설계된 에너지관리시스템을 실제 시스템에 적용하여 평가하는 것은 비능률적이기 때문에 효과적인 에너지관시스템을 설계하기 위해서는 통합시뮬레이션 모델이 필요하다. 제안된 통합시뮬레이션 모델은 Matlab/Simpowersystem 기반의 마이크로그리드시스템의 시뮬레이션 모델과 이벤트기반의 알고리즘 설계에 많은 장점이 있는 Matlab/StateFlow을 이용하여 설계된 멀티에이전트기반의 분산에너지관리시스템으로 구성되었다. 통합시뮬레이션 모델의 효용성을 보이기 위하여 특정한 동작 조건들에서 제안된 모델의 출력들을 분석하였다.

• 한국멀티미디어학회논문지
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• 제6권4호
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• pp.650-657
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• 2003

We describe a scheme for developing character-based interface within the context of an agent-based tutoring system in the Web environment. The ideas in this paper stem from original work representing aspects of human emotion in tutoring computer models, where may provide mote natural ways for students to communicate with digital learning materials. The proposed system model is a set of software services that enable developers to incorporate interactive animated characters into their Web pages designed for on-line lectures. The prototypical application is developed and shown for validating the applicability and the effectiveness of this model in real tutoring settings.

• 국제학술발표논문집
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• The 3th International Conference on Construction Engineering and Project Management
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• pp.1359-1363
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• 2009

The object of this research is to develop a simulation system for earthmoving operations in consideration of the impact of congestion in-between equipment and existing traffic flow around the site. The congestion in-between equipment and traffic flow affect work productivity. The conventional discrete event simulation, however, has limitations in simulating the flow of construction equipment. To consider the impact of congestion in-between equipment and existing traffic flow, in this paper, a multi-agent based simulation model that can realize characteristics of truck behavior more accurately to consider the impact of congestion was proposed. In this simulation model, multiple agents can identify environmental changes and adapt themselves to the new environment. This modeling approach is a better choice for this problem since it describes behavioral characteristics of each agent by sensing changes in dynamic surroundings. This study suggests a detailed system design of the multi-agent based simulation system.

• Nuclear Engineering and Technology
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• 제53권7호
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• pp.2195-2206
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• 2021

In order to mitigate the damage caused by accidents in nuclear power plants (NPPs), evacuation strategies are usually managed on the basis of off-site effects such as the diffusion of radioactive materials and evacuee traffic simulations. However, the interactive behavior between evacuees and the accident environment has a significant effect on the consequential gap. Agent-based modeling (ABM) is a method that can control and observe such interactions by establishing agents (i.e., the evacuees) and patches (i.e., the accident environments). In this paper, a radiological emergency evacuation model is constructed to realistically check the effectiveness of an evacuation strategy using NetLogo, an ABM toolbox. Geographic layers such as radiation sources, roads, buildings, and shelters were downloaded from an official geographic information system (GIS) of Korea, and were modified into respective patches. The dispersion model adopted from the puff equation was also modified to fit the patches on the geographic layer. The evacuees were defined as vehicle agents and a traffic model was implemented by combining the shortest path search (determined by an A ^* algorithm) and a traffic flow model incorporated in the Nagel-Schreckenberg cellular automata model. To evaluate the radiological harm to the evacuees due to the spread of radioactive materials, a simple exposure model was established to calculate the overlap fraction between the agents and the dispersion patches. This paper aims to demonstrate that the potential of ABM can handle disaster evacuation strategies more realistically than previous approaches.

• 한국콘텐츠학회논문지
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• 제9권10호
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• pp.51-58
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• 2009

강화학습은 최적의 행동정책을 구하는 최적화 문제로 주어진 환경과의 상호작용을 통해 받는 보상 값을 최대화하는 것이 목표이다. 특히 단일 에이전트에 비해 상태공간과 행동공간이 매우 커지는 다중 에이전트 시스템인 경우 효과적인 강화학습을 위해서는 적절한 행동 선택 전략이 마련되어야 한다. 본 논문에서는 멀티에이전트의 효과적인 행동 선택과 학습의 수렴속도를 개선하기 위하여 퍼지 추론 기반의 멀티에이전트 강화학습 모델을 제안하였다. 멀티 에이전트 강화학습의 대표적인 환경인 로보컵 Keepaway를 테스트 베드로 삼아 다양한 비교 실험을 전개하여 에이전트의 효율적인 행동 선택 전략을 확인하였다. 제안된 퍼지 추론 기반의 멀티에이전트 강화학습모델은 다양한 지능형 멀티 에이전트의 학습에서 행동 선택의 효율성 평가와 로봇축구 시스템의 전략 및 전술에 적용이 가능하다.

• 한국정보과학회논문지:소프트웨어및응용
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• 제29권4호
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• pp.225-234
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• 2002

현재까지 개발되어 있는 많은 이동에이전트 시스템들이 웹과의 연동을 고려하고 있으며, 웹서버들 또한 향후에 이동에이전트를 지원할 것을 고려하고 있다. 그러나 현재로서는 근본적으로 클라이언트/서버 구조를 가지고 있는 웹프로그래밍과 프로그램 코드의 자치적인 이동이라는 특징을 가진 이동에이전트 프로그래밍을 통합하여 정보시스템을 개발하는 방법이 명확히 정립되어 있지 않다. 본 논문에서는 첫째, 청상의 이동에이전트 프로그래밍 모델을 제시하므로서 웹프로그래밍과 이동에이전트 프로그래밍을 통합할 수 있는 방법을 명확히 하였다. 둘째, 웹프로그래밍과 이동에이전트 프로그래밍 모두에 많이 쓰이고 있는 자바언어의 API를 개발하므로서, 웹상의 이동에이전트 프로그래밍에 사용할 수 있도록 하였다. 셋째, W3C에서 자바로 개발한 Jigsaw 웹서버에 이동에이전트의 실행환경을 제공하기 위한 모듈을 추가하고 테스트하므로서 제안하는 모델의 유용성을 보였다.

• ETRI Journal
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• 제44권2호
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• pp.313-326
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• 2022

This study presents a noble scheme for distributed and parallel simulations with optimized agent placement for simulation instances. The traditional parallel simulation has some limitations in that it does not provide sufficient performance even though using multiple resources. The main reason for this discrepancy is that supporting parallelism inevitably requires additional costs in addition to the base simulation cost. We present a comprehensive study of parallel simulation architectures, execution flows, and characteristics. Then, we identify critical challenges for optimizing large simulations for parallel instances. Based on our cost-benefit analysis, we propose a novel approach to overcome the performance constraints of agent-based parallel simulations. We also propose a solution for eliminating the synchronizing cost among local instances. Our method ensures balanced performance through optimal deployment of agents to local instances and an adaptive agent placement scheme according to the simulation load. Additionally, our empirical evaluation reveals that the proposed model achieves better performance than conventional methods under several conditions.

• 산업경영시스템학회지
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• 제25권5호
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• pp.1-8
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• 2002

The sales activity of most of small manufacturing companies is based on orders of buyers. The process of promotion, receipt and selection of orders of the manufacturers is closely coupled with the load status of the production lines. The decision on whether to accept an order or not, or the selection of optimal order set among excessive orders is entirely dependent on the schedule of production lines. However, in the real world, since the production scheduling activity is mainly performed by human experts, most of small manufacturers are suffer from being unable to meet due dates, lack of rapid decision on the acceptance of new order. To cope with this problem, this paper deals with the development of an agent for selecting an optimal order set automatically. The main engine of selection agent is based on the typical job-shop scheduling model since our target domain is the injection molding company. To solve the problem, we have formulated it as IP (Integer Program) model, and it has been successfully implemented by ILOG and selection agent. And we have suggested an architecture of an agent for tackling web based order selection problems.

• 한국경영과학회지
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• 제36권1호
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• pp.69-84
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• 2011

In this study, based on the principal-agent paradigm, we investigate a joint cost reduction activity in a buyer-supplier supply chain where a buyer motivates its operations department and a supplier to reduce the supply chain's production cost. We construct a benefit-sharing model based on the target cost scheme, a basic philosophy in practice which has not been explored in previous studies. The model also incorporates various supply chain issues such as the cooperation of multiple agents, the opportunity loss, and the degree of strategic relationship between the buyer and the supplier. Based on the analysis of the principal-agent model, we investigate the benefit-sharing rule to control agents' actions, and we also provide important managerial implications into supply chain practices via extensive comparative static analyses.