• International Journal of Computer Science & Network Security
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• v.21 no.7
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• pp.297-304
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• 2021

In a duopoly situation, one firm can gain competitive advantage by attracting the price-sensitive customers from its competitor leading to higher profits through higher sale revenue for the competing company. A simulation study in which there are two electric car manufacturers with agent based modelling was conducted in order to verify this contention. The first step consisted of defining the baseline. Simulations of 1000 times and agent-based modelling were conducted with the assumption that company 1 reduced its price to the maximum of 20% thereby contributing to the switch-over of a maximum of 40% of the price sensitive customers of company 2. The results of 1000 simulations and agent-based modelling highlighted that price reduction by company 1 resulted in a significant increase in the number of customers, presumably due to switch-over from company 2 and there was a corresponding increase in revenues from both of the sales avenues. Thus, Company 1 achieved competitive advantage by marketing its cars to the customers of Company 2 using price reduction strategy to attract them. This study has ramifications for companies that aim to sway the price sensitive customers from a competitor.

• Journal of Korean Society of Transportation
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• v.21 no.1
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• pp.147-156
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• 2003

교통문제는 사회시스템이 복잡해짐에 따라 더욱 대처하기 어려운 국면으로 가고 있다. 따라서 교통시스템의 변화 예측도 용이하지 않다. 복잡계(complex system)의 하나로 볼 수 있는 교통시스템을 대처하는데 있어 전통적인 상의하달(上意下達) 접근에 한계가 있음을 부인할 수 없다. 지난 10여년 동안 물리학, 시스템공학, 컴퓨터공학 분야 등 다양한 분야에서 복잡계에 대한 활발한 연구가 진행되고 있다. 복잡계의 해석을 위한 새로운 개념과 접근기법들이 도입되고 있는데, 그들 중 에이젠트기반모형(agent-based modelling)은 교통분야에 적용 가능한 매우 흥미를 있는 기법으로 보인다. 본 글에서는 에이젠트기반모형이 무엇이며, 어떻게 사용되고 있으며, 교통분야에서의 적용가능성을 검토하였다. 본 글에서 제시한 에이젠트기반접근은 기존 방법과는 다른 하의상달(下意上達) 방식의 기법이다. 이는 시스템의 개별 구성원인 에이젠트의 행태와 에이젠트간의 상호작응에 초점을 둔다. 에이젠트의 행태와 상호작용의 규칙이 변함에 따라 전 에이젠트시스템에 나타나는 변화를 추적할 수 있다. 오늘날 교통문제의 복잡성은 교통시스템의 더욱 세분화된 하부시스템의 다양화와 상호작용, 그리고 개별 차량 또는 운전자의 행태와 상호작용에서 기인된다고 볼 수 있다. 따라서 에이젠트기반의 접근은 아직 연구는 미흡하지만 복잡한 교통시스템의 운영과 분석에 적용잠재력이 큰 기법으로 판단된다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2013.01a
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• pp.295-298
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• 2013

미래 전장 환경하의 복합/다종 무기체계를 대상으로 하는 군수 시뮬레이션 모델링 방법론은 기존의 에이전트 시스템에서 실시간성 및 신뢰성뿐만 아니라, 국내 군수 환경을 수용할 수 있는 모델이어야 한다. 본 논문에서는 이 같은 전장상황이라는 특수성에 맞는 다중 에이전트 기반의 모델링 방법론을 제안하다. 다중 에이전트 시스템에서 효과적으로 모델링하기 위하여 군수 시뮬레이션의 모델을 Information, Function model 로 나누고 에이전트 시스템의 중추적인 역할을 하는 Agent Management System(AMS) 을 Management model 로 구성한다. 제안하는 모델링 방법론은 다양한 도메인에서도 구성하기 적합하여 확장성과 유연성의 이점이 있으며, 각 모델이 플러그인 형식으로 구현되어 유사한 도메인에 적용할 때 재사용성이 높은 모델링 방법론을 제시한다.

• Journal of Construction Engineering and Project Management
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• v.5 no.4
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• pp.12-15
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• 2015

Size of building has a direct relationship with building cost, energy use and space maintenance cost. Therefore, minimizing building size during a project development is of paramount importance against such wastes. However, incautious reduction of building size may result in crowded space, and therefore harms the functionality despite the fact that building is supposed to satisfactorily support users' activity. A well-balanced design solution is, therefore, needed at an optimum level that minimizes building size in tandem with providing sufficient space to maintain functionality. For such design, architects and engineers need to be informed accurate and reliable space-use information. We present in this paper a conceptual framework of an agent-based space-use prediction simulation system that provides individual level space-use information over time in a building in consideration of project specific user information and activity schedules, space preference, ad beavioural rules. The information will accordingly assist architects and engineers to optimize space of the building as appropriate.

• International conference on construction engineering and project management
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• 2015.10a
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• pp.349-352
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• 2015

Size of building has a direct relationship with building cost, energy use and space maintenance cost. Therefore, minimizing building size during a project development is of paramount importance against such wastes. However, incautious reduction of building size may result in crowded space, and therefore harms the functionality despite the fact that building is supposed to satisfactorily support users' activity. A well-balanced design solution is, therefore, needed at an optimum level that minimizes building size in tandem with providing sufficient space to maintain functionality. For such design, architects and engineers need to be informed accurate and reliable space-use information. We present in this paper a conceptual framework of an agent-based space-use prediction simulation system that provides individual level space-use information over time in a building in consideration of project specific user information and activity schedules, space preference, ad beavioural rules. The information will accordingly assist architects and engineers to optimize space of the building as appropriate.

• 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 Operations and Management Science Society Conference
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• 2001.10a
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• pp.61-64
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• 2001

We propose a message-based communication protocol for software agents. An emphasis is placed on the problems of sharing and exchanging information through agent communication. We adopt the Resource Description Framework (RDF) schema for information modelling in business domain. The eXtensible Markup Language (XML) serialization is used to generate messages for agent communication. The use of XML and RDF enables software agents to understand the contents of messages correctly and consistently. We believe that the approach can provide a promising way to the automation of business processes through seamless communication among the partners.

• Proceedings of the Korea Contents Association Conference
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• 2005.11a
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• pp.644-648
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• 2005

Agent-Oriented Software Engineering is the one of the most recent contributions to the field of Software Engineering. This method has many benefits compared in existing development approaches. In particular the ability to let agents represent high level abstraction of active entity in software system. This paper gives an overview of research for agent-oriented software and industrial applications.

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2009.04a
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• pp.275-276
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• 2009

공간 변화의 동적과정을 시뮬레이션 하기 위한 이론과 모델들은 대, 중, 소규모에 따라 system of cities, city system, cities 로 나눌 수 있으며, 지난 40년 동안 이 각각의 규모에 초점을 맞춘 연구들이 진행되어 왔다. 하지만, 각 규모를 통합하여 도시를 설명하는 이론은 없는 상황이다. 이에 본 연구는 거듭제곱 법칙을 기반으로 한 행위자기반모형을 이용하여 모든 규모에서 설명이 가능한 모형을 제시하고, 이러한 거듭제곱 법칙이 공간패턴 형성에 어떠한 영향을 미치는지 분석하였다.

• Journal of the HCI Society of Korea
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• v.8 no.1
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• pp.11-17
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• 2013

Context aware systems are those systems that are aware about the environment and perform productive functions automatically by reducing human computer interactions(HCI). In this paper, we present common architecture principles of context-aware systems to explain the important aspects of context aware systems. Our study focuses on identifying common concepts in pervasive computing approaches, which allows us to devise common architecture principles that may be shared by many systems. The principles consists of context sensing, context modeling, context reasoning, context processing, communication modelling and resource discovery. Such an architecture style can support high degree of reusability among systems and allows for design flexibility, extensibility and adaptability among components that are independent of each other. We also propose a new architecture based on broker-centric middleware and using ontology reasoning mechanism together with an effective behavior based context agent that would be suitable for the design of context-aware architectures in future systems. We have evaluated the proposed architecture based on the design principles and have done an analyses on the different elements in context aware computing based on the presented system.