• 제목/요약/키워드: agent technology

검색결과 3,411건 처리시간 0.032초

CPFR 구현을 위한 다중 에이전트 시스템 구조설계 (Design of a Multi-Agent System Architecture for Implementing CPFR)

  • 김창욱;김선일;윤정욱;박윤선
    • 대한산업공학회지
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    • 제30권1호
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    • pp.1-10
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    • 2004
  • Advance in Internet technology has changed traditional production planning and control methods. In particular, collaborations between participants in supply chains are being increasingly addressed in industry for enhancing chain-wide productivity. A representative paradigm that emphasizes collaboration in production planning and control is CPFR(Collaborative Planning, Forecasting and Replenishment). In this paper, we present a multi-agent system architecture that supports the collaborations specified in CPFR. The multi-agent system architecture consists of event manager, data view agent, business rule agent, and collaboration agent. The collaboration agent systematically controls negotiation between supplier and buyer with the aid of collaboration protocol and blackboard. The multi-agent system has been implemented with EJB(Enterprise Java Beans).

이동 에이전트의 데이타 보호를 위한 일회용 에이전트 키 생성 시스템 (One-Time Key Generation System for Agent Data Protection in Mobile Agent Systems)

  • 박종열;이동익;이형효;박중길
    • 한국정보과학회논문지:정보통신
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    • 제28권3호
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    • pp.309-320
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    • 2001
  • 본 논문은 이동 에이전트 시스템에서 발생할 수 있는 보안 문제, 특히 악의를 가진 에이전트 서버로부터 에이전트의 데이타를 보호하기 위한 일회용 에이전트 키 생성시스템을 제안한다. 제안된 일회용 에이전트 키 시스템은 일방향(one-way) 해쉬함수와 연결고리(coupler) 개념을 병용한다. 먼저 일방향 함수는 에이전트 데이타의 비밀성과 무결성을 보장하기 위해서 중요한 역할을 하며, 연결고리는 에이전트의 데이타를 보호하기 위해서 연속되는 암호화키들 사이의 일정한 연관관계(key chain)를 설정하기 위해서 사용된다. 즉 모든 에이전트 키들은 한 방향의 연결고리를 형성하게 된다. 위와 같이 일회용 에이전트 키 생성시스템의 두 가지 특징은 에이전트 소유자(처음 에이전트를 생성한 사용자)만이 에이전트가 순회하면서 수집한 모든 데이타를 복호화 할 수 있도록 하며 악의를 가진 다른 사용자로부터 에이전트 데이타를 보호할 수 있다.

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전자시장 환경에서의 금융중개를 위한 소프트웨어 에이전트 개발에 대한 연구 (Software Agent for Financial Cybermediaries in Electronic Marketspace)

  • 정철용;서용무
    • 한국전자거래학회지
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    • 제4권3호
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    • pp.119-137
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    • 1999
  • The World Wide Web(WWW) has provided multi-media cyberspace for electronic markets where suppliers and demanders can do global electronic business with each other directly and conveniently. There are two contradictory views on the roles of intermediaries in electronic markets. One says we may not need intermediaries in doing business because suppliers and demanders can contact with each other directly in electronic markets. The other thinks that the intermediary function may be vertically decomposed from the company's internal value chain because it can be done more efficiently through networks by external intermediaries. Intelligent software agent is a new emerging technology in the field of computer science. An intelligent agent can support and do actions on behalf of users on computer networks. We think that this technology can be utilized to implement more efficient cybermediaries for electronic commerce. This paper proposes an XML-based framework for financial software agent, which selects financial products best fitted for the customer's needs in electronic market environment.

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A Personal Agent for Combining the Home Appliance Services and Its Learning Mechanism

  • Takeda, Yuji;Sakamaki, Kazumi;Ootsu, Kanemitsu;Yokota, Takashi;Baba, Takanobu
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 2003년도 ISIS 2003
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    • pp.74-77
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    • 2003
  • In this paper, we propose a new personal agent for generating the combinational services from using history of appliances in the home network environment. In such environment, it is required that flexible services can be provided by combining services of appliances and unskillful users can use these services without knowledge. So, it is needed to satisfy following: (1) combinational services can be suggested automatically and (2) the increase of services can be followed. Then, we propose a new personal agent that suggests combinational services by learning the lifestyle. Its learning mechanism is based on Self-Organizing Map (SOM), and can follow the increase of services. We implemented the the agent, and use history of a user for two weeks was made to learn. As the result, we confirmed that the agent can extract services related with time or location and can suggest combinational services.

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Emotion Architecture 적용 사례 분석에 관한 연구 (A Study on Analysis of Cases of Application of Emotion Architecture)

  • 윤호창;오정석;전현주
    • 한국콘텐츠학회:학술대회논문집
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    • 한국콘텐츠학회 2003년도 추계종합학술대회 논문집
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    • pp.447-453
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    • 2003
  • Emotion을 이용한 컴퓨터 인공 지능, 그래픽, 로봇, 상호 작용 등 다양한 분야에 나타나고 있다. 이에 각 분야에 적용되어진 이론적 배경과, 적용의 특징, 기술 등을 본 글에서 다루고자 한다. 먼저 이론적 접근방식에 있어서는 심리학적 접근과, 사람의 감정 연구, Behavior-Bas설 접근, 생물 행동적 접근, 등이 있으며 이를 구현하기 위한 기술로는 학습 알고리즘, Neural Network 의 Self-Organizing Maps, Fuzzy Cognition Maps등이 있다. 적용 분야로는 Software Agent, Agent Robot과 Entrainment Robot 등이 있다. 본 글에서는 이들의 적용 사례들을 살펴보고 Emotion Architecture에 대해서 분석하고자 한다.

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User-Centric Broadcasting Environment U sing Intelligent Agents

  • Jin, Sung-Ho;Bae, Tae-Meon;Cho, Jun-Ho;Ro, Yong-Man;Kang, Kyeong-Ok
    • 한국멀티미디어학회논문지
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    • 제8권6호
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    • pp.814-826
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    • 2005
  • The user-centric broadcasting environment includes the agent system and personalized broadcasting services for user-adaptive TV watching. In this paper, we propose broadcasting environment consisting of personalized broadcasting services and a multi-agent broadcasting system for the services. The proposed system employs the intelligent agent technology of the Foundation for Intelligent Physical Agents (FIPA) as well as metadata technology of MPEG-7 and TV-Anytime Forum (TVAF). To verify the usefulness of the proposed environment, we implemented a test-bed and demonstrated the proposed agent system with three services including intelligent user-information management service, information mobility service, and content retrieval service.

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신경망을 이용한 멀티 에이전트 기반 대공방어 단위 학습모형 (Anti-air Unit Learning Model Based on Multi-agent System Using Neural Network)

  • 최명진;이상헌
    • 한국군사과학기술학회지
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    • 제11권5호
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    • pp.49-57
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    • 2008
  • In this paper, we suggested a methodology that can be used by an agent to learn models of other agents in a multi-agent system. To construct these model, we used influence diagram as a modeling tool. We present a method for learning models of the other agents at the decision nodes, value nodes, and chance nodes in influence diagram. We concentrated on learning of the other agents at the value node by using neural network learning technique. Furthermore, we treated anti-air units in anti-air defense domain as agents in multi. agent system.

A 3D GUI System for Controlling Agent Robots

  • Hyunsik Ahn;Kang, Chang-Hoon
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2002년도 ITC-CSCC -2
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    • pp.848-851
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    • 2002
  • Recently, there are lots of concerning on the integration of robot and virtual reality with the trends of the research of intelligent robot and mined reality. In this paper, a 3D GUI system is proposed based on Internet for remote controlling and monitoring of agent robot working for itself. The proposed system is consists of a manager ordering a new position and displaying the motion of robot, an agent robot moving to the destination according to the indication, a positioning module detecting the current position of robot, and a geographical information module. A user can order the robot agent move to a new position in a virtual space and watch the real images captured from the real sites of the robot. Then, the agent robot moves to the position automatically with avoiding collision by using range finding and a path detection algorithm. We demonstrate the proposed 3D GUI system is supporting a more convenient remote control means far the robots.

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지능형 에이전트를 이용한 자동협상전략 수립 시스템 (An Automated Negotiation System Using Intelligent Agents)

  • 박세진;권익현;신현준
    • 산업경영시스템학회지
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    • 제29권2호
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    • pp.20-30
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    • 2006
  • Due to recent growing interest in autonomous software agents and their potential application in areas such as electronic commerce, the autonomous negotiation become more important. Evidence from both theoretical analysis and observations of human interactions suggests that if decision makers have prior information on opponents and furthermore learn the behaviors of other agents from interaction, the overall payoff would increase. We propose a new methodology for a strategy finding process using data mining in autonomous negotiation system; ANSIA(Autonomous Negotiation System using Intelligent Agent). ANSIA is a strategy based negotiation system. The framework of ANSIA consists of three component layers; 1) search agent layer, 2) data mining agent layer and 3) negotiation agent layer. ANSIA is motivated by providing a computational framework for negotiation and by defining a strategy finding model with an autonomous negotiation process.

An Information Filtering Agent in a Flexible Message System

  • JUN, Youngcook;SHIRATORI, Norio
    • Educational Technology International
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    • 제6권1호
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    • pp.65-79
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    • 2005
  • In a widely distributed environment, many occasions arise when people need to filter informationwith email clients. The existing information agents such as Maxims and Message Assistant have capabilities of filtering email messages either by an autonomous agent or by user-defined rules. FlexMA, a variation of FAMES (Flexible Asynchronous Messaging System) is proposed as an information filtering agent. Agents in our system can be scaled up to adapt user's various demands by controlling messages delivered among heterogeneous email clients. Several functionalities are split into each agent in terms of component configuration with the addition of multiple agents'cooperation and negotiation. User-defined rules are collected and executed by these agents in a semi-autonomous manner. This paper demonstrates how this design is feasible in a flexible message system.