• 한국컴퓨터정보학회논문지
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• 제9권1호
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• pp.55-62
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• 2004

컴퓨터네트워크의 확대와 인터넷 이용자의 증가에 따른 부작용으로 컴퓨터 보안 문제가 중요하게 대두되고 있다. 따라서 침입자들로부터 위험을 줄이기 위한 침입 탐지 시스템에 관한 연구가 활발하다. 이동에이전트를 이용하는 제안된 컴퓨팅 패러다임의 잇점은 네트워크의 지연시간 극복. 네트워크 부하 감소, 비동기적이고 자율적인 실행, 동적인 적합성과 이기종 환경에서의 운영이다. 많은 정보 보호 모델들은 agent-to-agent, agent-to-platform, 그리고 platform-to-agent 위험한 요소들을 완화하기 위하여 제안되었다. 본 논문에서는 침입 탐지 시스템의 개발을 통해서 이동 에이전트의 성능을 분석하여 관리함으로써 데이터가 최상의 환경을 유지하도록 하였다.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 1995년도 추계학술대회 논문집
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• pp.697-701
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• 1995

The network encironment includes a number of autonomous agents which are widely distributed, have different platforms, and change very dynamically. The information system operated on this environment must solve some basic problems; restrictive client-server models, heterogeneous systems, and intellignet agents. We are using KQML for knowledge management. Java language provides solutions against a strong server dependency and a heterogenous troubles. We introduce KQML as an agent communication language and JATLite as a java agent template. these increase an efficiency of communication on network and enable us to use resources distributed in world wide web. Also, we describe a new agent system architecture and implement it through an example scenario

• 국제학술발표논문집
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• The 4th International Conference on Construction Engineering and Project Management Organized by the University of New South Wales
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• pp.439-444
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• 2011

As construction projects have been getting larger and more complex, a single individual or organization cannot have complete knowledge or the abilities to handle all matters. Collaborative practices among heterogeneous individuals, which are temporarily congregated to carry out a project, are required in order to accomplish project objectives. These organizational knowledge creation processes of project teams should be understood from the active and dynamic viewpoint of how they create information and knowledge rather than from the passive and static input-process-output sequence. To this end, agent-based modeling and simulation which is built from the ground-up perspective can provide the most appropriate way to systematically investigate them. In this paper, agent-based modeling and simulation as a research method and a medium for representing theory is introduced. To illustrate, an agent-based simulation of the evolution of collaboration in large-scale project teams from a game theory and social network perspective is presented.

• 한국경영과학회:학술대회논문집
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• 한국경영과학회/대한산업공학회 2003년도 춘계공동학술대회
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• pp.808-813
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• 2003

Maintaining agility and responsiveness m designing and manufacturing activities are the key issues for manufacturing companies to cope with global competition. Distributed design and control systems are regarded as an efficient solution for agility and responsiveness. However, distributed nature of a manufacturing system complicates production activities such as design, simulation, scheduling, and execution control. Especially, existing simulation systems have limited external integration capabilities, which make it difficult to implement complex control mechanisms for the distributed manufacturing systems. Moreover, integration and coupling of heterogeneous components and models are commonly required for the simulation of complex distributed systems. In this paper, a collaborative and adaptive simulation architecture is proposed as an open framework for simulation and analysis of the distributed manufacturing enterprises. By incorporating agents with their distributed characteristics of autonomy, intelligence, and goal-driven behavior, the proposed agent-based simulation architecture can be easily adapted to support the agile and distributed manufacturing systems. The architecture supports the coordination and cooperation relations, and provides a communication middleware among the participants in simulation.

• 통합자연과학논문집
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• 제1권2호
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• pp.127-132
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• 2008

This project follows the heterogeneous agent market segmented model of Landon-Lane and Occhino (2007) with using Korean data, M1 and GDP deflator from 1882:I to 2007:II. This paper estimates parameters with Monte Carlo Markov Chain. The fraction of traders, ${\lambda}$, in Korea is 15.64%. The quarterly preferences discount factor's, ${\beta}$, posterior mean is 0.9922. The posterior mean of the inverse of the elasticity of the labor supply to the real wage, ${\varphi}$, is 0.0316. The elasticity of the labor supply to the real wage has a very large value. By Hansen (1985) and Christiano and Eichenbaum (1992) and Cooley and Hansen (1989), models having large elasticity of the aggregate labor supply better match macroeconomic data.

• KDI Journal of Economic Policy
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• 제41권2호
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• pp.1-39
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• 2019

This paper utilizes a life-cycle overlapping-generations model to quantify the welfare effects of plans to postpone the depletion of the National Pension Fund. In order for the model to incorporate the rapidly changing demographic structure of Korea fully, we build and calibrate a model in transition directly. The model is considered suitable for analyzing the effects of demographic changes on the Korean economy and the effects of plans to change the National Pension System. According to a simulation of the model, to postpone the depletion of the National Pension Fund for 30 years, the premium rate must be increased to 18.3% from the current rate of 9%. By postponing the depletion of the fund reserve, young and future generations gain significantly at the expense of the older generations. The simulation results should be, however, interpreted as meaning that the current system is unjustifiably partial to the older generations. Moreover, given the current premium rate, it is desirable to strengthen the income-redistribution function of the National Pension System.

• 정보처리학회논문지:소프트웨어 및 데이터공학
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• 제12권9호
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• pp.407-418
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• 2023

MultiOn(Multi-Object Goal Visual Navigation)은 에이전트가 미지의 실내 환경 내 임의의 위치에 놓인 다수의 목표 물체들을 미리 정해준 일정한 순서에 따라 찾아가야 하는 매우 어려운 시각적 탐색 이동 작업이다. MultiOn 작업을 위한 기존의 모델들은 행동 선택을 위해 시각적 외관 지도나 목표 지도와 같은 단일 맥락 지도만을 이용할 뿐, 다양한 멀티모달 맥락정보에 관한 종합적인 관점을 활용할 수 없다는 한계성을 가지고 있다. 이와 같은 한계성을 극복하기 위해, 본 논문에서는 MultiOn 작업을 위한 새로운 심층 신경망 기반의 에이전트 모델인 MCFMO(Multimodal Context Fusion for MultiOn tasks)를 제안한다. 제안 모델에서는 입력 영상의 시각적 외관 특징외에 환경 물체의 의미적 특징, 목표 물체 특징도 함께 포함한 멀티모달 맥락 지도를 행동 선택에 이용한다. 또한, 제안 모델은 점-단위 합성곱 신경망 모듈을 이용하여 3가지 서로 이질적인 맥락 특징들을 효과적으로 융합한다. 이 밖에도 제안 모델은 효율적인 이동 정책 학습을 유도하기 위해, 목표 물체의 관측 여부와 방향, 그리고 거리를 예측하는 보조 작업 학습 모듈을 추가로 채용한다. 본 논문에서는 Habitat-Matterport3D 시뮬레이션 환경과 장면 데이터 집합을 이용한 다양한 정량 및 정성 실험들을 통해, 제안 모델의 우수성을 확인하였다.