• Title/Summary/Keyword: Intelligent Agent

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Modeling of Bank Asset Management System based on Intelligent Agent

  • Kim, Dae-Su;Kim, Chang-Suk
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.1 no.1
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    • pp.81-86
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    • 2001
  • In this paper, we investigated the modeling of Bank Asset Management System(BAME) based on intelligent agent. To achieve this goal, we introduced several kinds of agents that show intelligent features. BAMS is a user friendly system and adopts fuzzy converting system and fuzzy matching system that returns reasonable similarity matching results. Generation function of the proximity degree is suggested. Fuzzification of investment type categories and feature values are defined, and generation of proximity degree is also derived. An example of bank asset management system is introduced and simulated. Investment type matching utilizing fuzzy measure is tested and it showed quite reasonable similarity matching results.

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Design and Implementation of Intelligent Agent System Using Environment and Customer's Profiles Analysis based on RFID (RFID 기반의 환경 및 고객 프로파일 분석 지능형 에이전트 시스템 설계 및 구현)

  • Lee, Keun-Soo
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.12 no.10
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    • pp.4626-4631
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    • 2011
  • In this paper, we design an ubiquitous-type shopping mall using RFID(Radio Frequency IDentification) technology and a location analysis system which can locate customers in real time at off-line shopping malls as a way to provide any services to customers, based on the results of environmental analysis data. We also suggest an intelligent agent system which can provide a personalized information in time.

A Search System Using The Intelligent Agent (지능형 통합에이전트를 이용한 검색시스템)

  • 박진희;허철회;정환묵
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • pp.14-18
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    • 2002
  • 전자상거래가 점차 활성화됨에 따라 다양한 형태의 쇼핑몰들이 구축되고 있으나, 구매자가 상품을 구입하는데 있어 구매자 기호와 요구에 적합한 상품을 검색하기에는 미흡한 실정이다. 따라서, 본 논문에서는 CBR(Case Based Reasoning)과 RBR(Rule Based Reasoning)을 통합한 검색에이전트와 사용자 프로파일과 선호도를 관리하는 사용자 에이전트로 이루어진 멀티 에이전트를 이용하는 CARUBA 시스템을 설계하고, 검색에이전트가 사용자에이전트에서 보낸 정보를 이용하여 유사도를 산출하여 구매자의 요구에 적합한 상품을 신속하게 추천할 수 있는 방법을 제안한다

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Development of Heterarchical Control System through Automated Plant Monitoring (공장모니터링을 통한 수평구조 공장제어시스템의 개발)

  • Lee, S.H.;Y.H. Bae
    • Journal of the Korean Society for Precision Engineering
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    • v.14 no.1
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    • pp.108-118
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    • 1997
  • The heterarchical structure provides a more attractive solution to the conventional hierarchical structure as the density and level of distrubution of computing resources in manufacturing system expands. Tracing the evolution of control structures for automated manufacturing systems, this paper discusses the design principles for heterarchical system to reduce complexity, increase extendability, flexible configurability and suggests a good example of real-time adaptation using the concept of intelligent agent of manufac- turing entities and fault diagmosis system.

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Fuzzy Based Intelligent Agent System (퍼지 기반 지능형 에이전트 시스템)

  • 박종민;김용일;양재동
    • Proceedings of the Korean Information Science Society Conference
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    • pp.31-33
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    • 2001
  • 기존의 전자 상거래 시스템은 상품 정보를 순차적 혹은 계층적으로 나열하고 키워드 검색이나 계층적 탐색을 통해 상품을 선택하는 단순 방식을 사용하기 때문에 해당 도메인에 대한 전문적인 지식이 없는 일반 사용자들이 물품을 검색하기 어렵다. 이러한 문제점을 해결하기 위해 본 논문에서는 퍼지 기반 지능형 에이전트 시스템(Fuzzy Based Intelligent Agent System)을 제안한다. 퍼지 기반 지능형 에이전트 시스템은 사용자 중심의 지능형 상품 검색과 상품 선택 가이드에 전문가의 지식을 이용한다. 따라서, 상품 정보에 대한 전문적 지식이 없는 사용자를 지원하고, 사용자의 취향에 따라 동적으로 상품을 분류한 뷰를 제공할 수 있다.

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Intelligent Agent System by Self Organizing Neural Network

  • Cho, Young-Im
    • 제어로봇시스템학회:학술대회논문집
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    • pp.1468-1473
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    • 2005
  • In this paper, I proposed the INTelligent Agent System by Kohonen's Self Organizing Neural Network (INTAS). INTAS creates each user's profile from the information. Based on it, learning community grouping suitable to each individual is automatically executed by using unsupervised learning algorithm. In INTAS, grouping and learning are automatically performed on real time by multiagents, regardless of the number of learners. A new framework has been proposed to generate multiagents, and it is a feature that efficient multiagents can be executed by proposing a new negotiation mode between multiagents..

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Framework for Socially Intelligent Agent using Three-Layered Affect Functioning Model (3단계의 사고 작용 모델을 응용한 사회적 감성지능 에이전트 프레임워크)

  • Shin, Hun-Yong;Woo, Woon-Tack
    • 한국HCI학회:학술대회논문집
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    • pp.522-527
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    • 2008
  • Socially Intelligent agent is the agent not only having the ability to recognize and to process human affect through learning and adaptation, but also having human-like social intelligence. By making human feel familiar with the computer, the agent is expected to enhance human-computer interaction (HCI) by providing users with the personalized services and interfaces. This paper proposes the framework for socially intelligent agents behaving socially according to the emotions recognized by ID3 algorithm and psychological OCC model. Also, the agent could process with the emotion to make socially intelligent response through three layered affect functioning model. Finally, the proposed agent can be applied for the development and application of socially intelligent agent in wide areas as the agent framework having similar affect and cognitive structure with human being.

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Development of An Intelligent Agent Shell Supporting An Integrated Agent Building Language (통합 에이전트 구축 언어를 지원하는 지능형 에이전트 쉘의 개발)

  • Chang, Hai-Jin
    • The Transactions of the Korea Information Processing Society
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    • v.6 no.12
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    • pp.3548-3558
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    • 1999
  • There are many kinds of multi-agent frameworks which support the high-level knowledge representation languages for providing intelligence to their agents. But, the agent programming interfaces of the frameworks require to use some general-purpose programming languages as well as tile knowledge representation languages. In general, knowledge representation languages and general-purpose programming languages are different in their levels and data representation models. The differences can make the problems about tile coupling of the elements which are necessary for developing intelligent agents. This paper describes a new type of intelligent agent shell INAS(INtelligent Agent Shell) version 2 which has developed to cope with the problems. Unlike the previous agent frameworks, INAS supports a high-level integrated agent building language for building intelligent agents by itself. Therefore, the development of intelligent agents by using INAS version 2 does not suffer from the problems of the previous agent frameworks. Through the development of several intelligent agents, we experienced that the agent building language of INAS version 2 could reduce the difficulties of developing intelligent agents.

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A Study to Generate a Theory of Coordination for Intelligent Agent Societies (지능형 에이전트 집단을 위한 조정 이론 생성에 관한 연구)

  • Kim, Eun-Gyung
    • The KIPS Transactions:PartB
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    • v.9B no.2
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    • pp.147-154
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    • 2002
  • In bulding Intelligent Agent Societies (IAS), it is very important to design and implement coordination in accordance with the known requirement and anticipated working conditions. Coordination consists of a set of mechanisms necessary for the effective operation of IAS. Currently, there is little theoretical support that could help in this research is to generate an empirically-based solving systems in which all agent share an identical goal structure and fully cooperate. And we developed a simulation model called "P-System" which produces basic data to be used for statistical analysis to generate a theory of coordination. Coordination among agent in the P-System is dependent on 23 control variables calld TEs(tweakable emtities.)And the level of coordination is represennted by an independent variabe called QMC (Quality Measure Coordination) expressed in numerical terms according tn the definiion of this study. Also, we have studied how to select unbiased subset from the huge total experimental space of the P-System and how to decide the scale of the subset.

Design and Implementation of an Intelligent Agent for RFID-based Home Network Management (RFID 기반의 홈 네트워크 관리를 위한 지능형 에이전트의 설계 및 구현)

  • Kim, Ju-Il;Lee, Woo-Jin;Chong, Ki-Won
    • The Journal of Society for e-Business Studies
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    • v.12 no.4
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    • pp.71-84
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    • 2007
  • The architecture for RFID-based home network and an intelligent agent for efficiently managing home network are proposed in this paper. The agent consists of six modules-Agent Manager, Data Collector, Execution Controller, Data Storage, Data Queue and User Interface. Agent Manager manages the tasks of modules, and Data Collector collects the data from home appliances through the RFID readersm Execution Controller determines the operations home appliances according to the conditions of the home environment and transfers the operations to the appliances through the RFID readers. Moreover, Data Storage keeps the data which is necessary for the operations of the agent, and Data Queue temporarily stores the data which is collected from home appliances. Lastly, User Interface provides the graphical user interface in which an individual can directly control and monitor the home network. The proposed intelligent agent autonomously learns the circumstances of a home network by analyzing the data about the state of home appliances, and controls home appliances according to the preference of the user. Therefore, the user can live in the best-suited home environment without direct appliance control if he/she performs home networking through the agent.

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