• Journal of the Korea Society for Simulation
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• v.17 no.2
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• pp.83-90
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• 2008

We introduce the coordination among the intrusion detection agents by BBA(BlackBoard Architecture) that belongs to the field of distributed artificial intelligence. The system which uses BBA for the coordination can be easily expanded by adding new agents and increasing the number of BB(BlackBoard) levels. Several simulation tests performed on the targer network will illustrate our techniques. And this paper applies PBN(Policy-Based Network) to reduce the false positives that is one of the main problems of IDS. The performance obtained from the coordination of intrusion detection agent with PBN is compared against the corresponding non PBN type intrusion detection agent. The application of the research results lies in the experimentation of the various security policies according to the network types in selecting the best security policy that is most suitable for a given network.

• Journal of Internet Computing and Services
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• v.11 no.1
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• pp.103-116
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• 2010

In this paper, we propose an optimal camera placement using agent-based simulation. To derive importance of space and to cover the space efficiently, we accomplished an agent-based simulation based on classification of space and pattern analysis of moving people. We developed an agent-based camera placement method considering camera performance as well as space priority extracted from path finding algorithms. We demonstrate that the method not only determinates the optimal number of cameras, but also coordinates the position and orientation of the cameras with considering the installation costs. To validate the method, we compare simulation results with videos of real materials and show experimental results simulated in a specific space.

• Journal of Korea Game Society
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• v.11 no.1
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• pp.111-120
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• 2011

It is important to realistically simulate group behaviors of the multi-agents in virtual worlds. While most researchers have focused on their group behaviors in an open space, this paper studies their group behaviors by using steering force in an enclosed space. Agents have a common target and should move towards it in an enclosed space while avoiding collision with other agents. Under those environments, three possible models of agents are proposed and the six steering forces needed in each model are also proposed. In order to show the correctness of the proposed models, they were simulated. Our simulation results showed that the proposed models only using steering forces operate well in the enclosed space although it requires a different period of time for each agent to arrive at its target depending on the walls and doors.

• Journal of the Korea Society for Simulation
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• v.20 no.3
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• pp.111-117
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• 2011

This paper suggests the passenger model considered evacuation behavioral characteristics on the passenger ship fire using a rules-based agent technique. The existing evacuation simulation system was modeled only passenger speed. The speed-based model considered passenger's physical characteristics, so it couldn't consider evacuation behavioral characteristics. For solving this problem, we modeled the passenger model using a rule-based agent applied evacuation behavioral characteristics. The rule-based agent consists of knowledge base and inference engine. In knowledge base, we represented evacuation behavioral characteristics, and chose the examples of the evacuation behavioral characteristics to show various patterns of behavior. And we simulated in the IMO MSC/Circ.1238 example 8 and we proved the simulation results could represent variety patterns of human behavior.

• Journal of the Korea Society for Simulation
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• v.18 no.4
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• pp.117-125
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• 2009

Recently the intelligent agent systems have been emerged as one of key issues for developing the defense M&S systems. However, most conventional agent architecture of M&S systems utilize the script-based models and can only deal with the individual behaviors so that they cannot suitably describe the precise tactical/strategic behavior and/or complex warfare environment. To overcome these problems, we have proposed the hierarchical multi-agent system architecture that is able to intelligently cope with the complex missions based on the functional role of each agent on the hierarchy such as an intelligence officer, captain, warship commander. Several simulation tests performed on 2:2 warship warfare models will illustrate our techniques.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2020.11a
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• pp.173-174
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• 2020

해양 공간 개발과 신개념 선박이 출현함에 따라 해상교통 환경은 복잡해지고 있으며, 이에 해양안전을 확보하기 위한 다각적인 대비책이 마련되어야 한다. 특히, 선박운항 시뮬레이터 및 과거 항적 데이터를 이용한 기존의 해상교통안전진단체계는 이러한 교통 환경의 변화를 반영하지 못하기 때문에 분석에 한계가 존재한다. 동적인 해상교통 환경에 적합한 시뮬레이션 기반 분석 방법이 개발되어야 하며, 이를 위해 본 논문에서는 에이전트 개념을 기반으로 하는 모델링-시뮬레이션(M&S) 플랫폼을 제안하고자 한다.

• Journal of the Korea Society for Simulation
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• v.21 no.1
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• pp.27-34
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• 2012

Proposed in the paper is an agent based and object-oriented methodology to create a virtual logistics support system model. The proposed virtual logistics support system model consists of three types of objects: the logistics force agent model(static model), the military supplies transport manager model(function model), the military supplies state manager model(dynamic model). A logistic force agent model consists of two agent: main function agent and function agent. To improve the reusability and composability of a logistics force agent model, the function agent is designed to adapt to different logistics force agent configuration. A military supplies transport manager is agent that get information about supply route, make decisions based on decision variables, which are maintained by the military supplies state manager, and transport military supplies. A military supplies state manager is requested military supplies from logistics force agent, provide decision variables such as the capacity, order of priority. For the implementation of the proposed virtual logistics force agent model, this paper employs Discrete Event Systems Specification(DEVS) formalism.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2004.05a
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• pp.458-462
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• 2004

eSCM은 고객과의 주 접촉 수단으로써 다른 어떤 수단보다 비용절감과 시간적 공간적 제약을 극복할 수 있는 인터넷을 통해 공급체인을 구성하고 있는 모든 기업을 하나로 묶어 네트워크를 형성함으로써, 정보공유와 커뮤니케이션을 가능하게 하여 네트워크상의 모든 자원의 효율을 높이는 것을 목적으로 한다. 이러한 공급체인상의 모든 구성원 간의 통합이 실질적으로 효과를 나타내기 위해서는 조정된 방법으로 운영되어야 한다. 기업 환경의 새로운 변화에 유연하게 대처, 구성원간의 거래에서 정상 루트를 벗어난 예측하지 못했던 상황 즉, 고객의 변심에 따른 주문량 변경/취소, 계절적 요인으로 인한 주문량 폭주, 원자재/부품의 공급지연에 대한 납기 일정 수정 등에 대해 능동적이고 자율적으로 대처할 수 있는 공급체인 내에 Intelligent 기능을 가진 조정 에이전트를 적용한 개선된 공급체인 도입을 요구하고 있다. 따라서 본 연구에서는 eSCM의 구성원을 에이전트로 나타내어 이를 바탕으로 조정 에이전트 기반의 eSCM을 모델링하고 시뮬레이션을 통하여 그 조정 능력을 분석한다.

• Proceedings of the Korean Information Science Society Conference
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• 2012.06b
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• pp.109-111
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• 2012

실시간으로 급변하는 전장상황에서는 군수물자의 보급이 절대적으로 중요하다. 최근에는 군수 물자를 사람이 아닌 다수의 에이전트를 이용하여 물류 수송을 관리하려는 다양한 시도가 이뤄지고 있다. 지능형에이전트를 이용한 추론 및 의사결정을 위한 시뮬레이션 모델링에 대해선 많은 연구가 이뤄져 왔으나, 전장에서의 특수성을 고려한 모델이 아니므로 그대로 적용하기에는 다소 무리가 있다. 본 논문에서는 이러한 문제를 해결하기 위해 전장상황에 특화된 BDI를 통해 다중 에이전트 환경에서 적용 가능한 군수 물자 수송 모델링 방법에 대해 알아본다.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2020.11a
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• pp.179-180
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• 2020

해상교통을 모의하기 위해서는 주요 요소인 선박운항자의 인적요인에 대한 모델링 필요하며, 현실감 있는 해상교통 상황의 재현 및 예측을 위해 선박운항자 행동양식, 항해전문성, 항해오류 등을 모델링하여 반영하는 것이 필요하다. 본 발표에서는 에이전트 기반의 해상교통 시뮬레이션을 위해서 선박운항자의 충동회피를 위한 행동 분석를 수행했으며, 기초 데이터의 확보를 위해 설문조사를 실시하였다. 설문조사를 통해 분석된 정보를 이용하여 선박 충돌상황에서 선박운항자의 행동과 유사한 에이전트 기반의 항해행동 모델 개발현황을 소개하고자 한다.