• Title/Summary/Keyword: Inteligent Agent

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A Study About Verification Model for Cooperation of Software Components of AUML Base (AUML기반의 소프트웨어 컴포넌트들의 협력성을 위한 검증 모텔에 관한 연구)

  • Gawn, Han-Hyoun;Park, Jae-Bock
    • Journal of the Korea Computer Industry Society
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    • v.6 no.3
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    • pp.529-538
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    • 2005
  • AUML (Agent Unified Modeling Language) is specification anger of agent software system, sight anger, language that do creation by purpose. Do so that may apply Together that is one of automation application program creation system to Agent's BDI in trend sophistication of software, large size Tuesday in this research and investigate this about operation between component system. Standard detailed statement (FIPA:Foundation for Inteligent Physical Agent) that use can consist by data exchange between component and cooperate each other even if type of component is different mutually to base ACL message, and protocole use and study about method and accuracy and consistency that minimize error when embody this using meta model base etc.. through object intention modelling.

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에이전트 시스템 기반 로봇 설계 및 구현

  • Park, Gi-Deok;Yang, Jeong-Jin
    • Proceedings of the Korea Inteligent Information System Society Conference
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    • 2007.11a
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    • pp.353-356
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    • 2007
  • 로봇 시스템에서 지적 활동의 중심적 자료구조가 될 공유 메모리를 이용하여 로봇을 이루는 여러 Component Agent가 수집한 Context들과 산출된 Data들을 모아 Mental State를 구축한다. 로봇 Agent를 이루는 모든 컴포넌트들 간의 Data 교류는 Mental State를 통하여 일어나고, Reactive Layer와 Deliberative Layer로 구분 된 로봇을 구성하는 Agent들은 상황에 다라 변화된 context와 data값을 실시간으로 Mental State에 기록, 갱신한다. 이를 통하여 실시간 미션 수행 로봇이 효과적으로 목표를 수행할 수 있는 시스템 구조를 제시하고자 한다. 또한, 이러한 구조를 적용한 자가위치탐지 자율주행 로봇의 구현을 통해 본고에서 제시한 시스템 구조의 실현 가능성을 보이고자 한다.

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An Architecture of Realtime Agent Based on Behavior Categorization (행위 범주에 기초한 실시간 에이전트 구조)

  • 김하빈;김인철
    • Proceedings of the Korea Inteligent Information System Society Conference
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    • 2003.05a
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    • pp.246-254
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    • 2003
  • 행위범주를 이용한 구조에서 가장 중요한 특징 두가지는 첫째 행위의 계층을 주종이며 정적인 계층으로 구분하지 않고 행위 범주별 구분을 하여 복잡한 환경에 유연하게 대처할 수 있다. 둘째, 모든 행위를 객체화 하여 처리한다. 객체화 된 행위는 스스로의 문제점을 감시하고 처리하거나 보고하여 전체 구조의 간편화를 가져오게 된다. 본 논문에서는 행위를 범주 구분을 위하여 필요한 행위 설계 방식을 제시하고 행위 객체를 위한 구성요소를 소개한다.

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An Agent System that Assists Uer's Work Using Case-based Reasoning

  • Yasumura, Yoshiaki;Suzuki, Sachiko;Nitia, Katsumi
    • Proceedings of the Korea Inteligent Information System Society Conference
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    • 2001.01a
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    • pp.164-168
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    • 2001
  • This paper introduces an agent system that assists in user's work on the Internet. First, the agent receives requests from the user or other agents. Since there are various kinds of requests, it is difficult to describe a completes set of request -handling rules in advance. Therefore, the agent makes a plan referring to old cases. The agent executes the plane which is a sequence of basic operation. If the agent fails to execute basic operation or to create a plan. then it makes a new plan by interacting with the user or other agent. Finally the agent stores this new case with user's evaluation score into the case base.

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Agent Oriented Business Forecasting

  • Shen, Zhiqi;Gay, Robert
    • Proceedings of the Korea Inteligent Information System Society Conference
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    • 2001.01a
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    • pp.156-163
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    • 2001
  • Business forecasting is vital to the success of business. There has been an increasing demand for building business forecasting software system to assist human being to do forecasting. However, the uncertain and complex nature makes is a challenging work to analyze, design and implement software solutions for business forecasting. Traditional forecasting systems in which their models are trained based on small collection of historical data could not meet such challenges at the information explosion over the Internet. This paper presents an agent oriented business forecasting approach for building intelligent business forecasting software systems with high reusability. Although agents have been applied successfully to many application domains. little work has been reported to use the emerging agent oriented technology of this paper is that it explores how agent can be used to help human to manage various business forecasting processes in the whole business forecasting life cycle.

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MoCAAS: Auction Agent System Using a Collaborative Mobile Agent in Electronic Commerce

  • Lee, Kwang-Yong;Yoon, Jung-Sup;Jo, Geun-Sik
    • Proceedings of the Korea Inteligent Information System Society Conference
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    • 2001.01a
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    • pp.83-88
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    • 2001
  • To get the items that a buyer wants in Internet auction. he must search for the items through several auction sites. When the bidding starts, he(the buyer) needs to connect to these auction sites frequently so that he can monitor the bid stats and re-bid. A reserve-price auction reduces the number of connections, but this limits the user's bidding strategy. Another problem is equity between the buyer and the seller. Both the buyer and the seller should profit together within proper limits. In this paper, we propose an auction agent system using a collaborative mobile agent and a brokering mechanism called MoCAAS (Mobile Collaborative Auction Agent System), which mediates between the buyer and the seller and executes bidding asynchronously and autonomously. This reduces connection costs. offers more intelligent bidding and solves the equity problem.

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FACILITATING NEGOTIATIONS IN AGENT MEDIATED ELECTRONIC COMMERCE

  • Miao, Chunyan;Goh, Agenla;Yang, Zhonghua
    • Proceedings of the Korea Inteligent Information System Society Conference
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    • 2001.01a
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    • pp.16-22
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    • 2001
  • There is no doubt that agents play an increasingly predominant role in e-commerce, whether these are business-to-consumer or business-to-business applications. However most of the current e-commerce agents only support a single bid for a product at a fixed price. Although price is an important factor, it is not the only concern of both business and consumer. There is doubt as to whether such agents satisfv both parties. Negotiation on a variety of issues is needed in order to reach an agreement. In this paper, a computational agent negotiation(CAN) model is proposed to facilitate multiple-issue negotiation via an agent. The main contribution of the CAN model is it enables agent to participate actively in the negotiation with various feedback instead of simply an agreement or rejection.

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