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研究生:張博揚
研究生(外文):Po-Yang Chang
論文名稱:「信念-期望-意圖」為基礎的多重程式代理人系統上具有彈性的本體認知環境
論文名稱(外文):A Flexible Ontology Environment on a BDI-Based Multi-Agent System
指導教授:王豐堅蔡中川蔡中川引用關係
指導教授(外文):Feng-Jiang WangJong-Chuang Tsay
學位類別:碩士
校院名稱:國立交通大學
系所名稱:資訊工程系
學門:工程學門
學類:電資工程學類
論文種類:學術論文
論文出版年:2002
畢業學年度:90
語文別:英文
論文頁數:49
中文關鍵詞:信念-期望-意圖多重代理人本體認知環境
外文關鍵詞:BDI agentOntologyMulti-agent system
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程式代理人在資訊科學領域中是一個突出且令人注目的一項技術。社交能力是程式代理人重要的能力之一。社交能力是指許多程式代理人之間有互動,可以相互運作。本體認知在通訊上扮演一個重要的角色。本體認知定義通訊所使用的字彙、字彙之間的關係以及字彙的屬性。本體認知使得通訊的兩方的程式代理人在面對同一字彙下,有相同的意義。在這篇論文,我們設計本體認知模組以及通訊模組,結合「信念-期望-意圖」為基礎的程式代理人模組來建立有本體認知之程式代理人。我們藉由此種程式代理人視環境狀況而後決定如何運作的智慧,使得本體認知可以彈性的建構。我們設計本體認知服務讓使用者可以輕易的佈署使用者自訂的本體認知。

Agent is one of the most prominent and attractive technologies in Computer Science. The social capability is an important characteristic of agent. It means that agents can interact with each other. The ontology plays an important role in communication. The ontology defines the communication vocabularies, the relationships of vocabularies, and the properties of the vocabularies for communication. The ontology allows both sides (agents) of communication to get the same meaning when they face a common vocabulary. In this thesis, a BDI-based agent is extended with the ontology module and communication language module to form a BDI-based agent with the ontology. The ontology can be constructed flexibly by when BDI-based agents that performs actions. We also design the ontology server which provides the ontology service. The server helps the user-specified ontology to be deployed easily in the multi-agent system.

Chapter 1 Introduction
Chapter 2 Background
2.1 BDI-Based Agents
2.1.1 Architecture of a BDI-Based Agent
2.1.2 JAM Agents
2.1.3 Related Intelligent Agent Systems
2.2 Ontology Analysis
2.2.1 A Formal Account of Ontologies
2.2.2 Basic Kinds of Ontologies
2.2.3 Ontology Development Process
2.3 Definition of Agent’s Ontology
2.3.1 Structure of Ontology
2.3.2 Ontology-Based Communication
2.3.3 Ontology-Related Elements in Multi-Agent System
2.3.4 Ontology Service
2.4 Multi-Agent System
Chapter 3 Constructing Ontology in a BDI—Based Agent
3.1 New Architecture of a BDI-Based Agent with Ontology
3.1.1 Using the BDI Components of JAM
3.1.2 Architecture of the Ontology Module
3.1.2.1 E-R Model for Ontology Analysis
3.1.2.2 The Components of the Ontology Module
3.1.3 The Process to Develop Ontology
3.1.4 The States of an Agent
3.2 Collaboration of Components
3.2.1 The Components of the Ontology Module and the World Model
3.2.2 The Ontology Module and the Message Ontology Component
3.3 An Example of Communication between Agents
Chapter 4 Ontology Service Environment on the BDI-Based Multi-agent System
4.1 Architecture of Ontology Service Environment
4.1.1 Relationship between Ontologies
4.1.2 Ontology Service Ontology
4.2 The Scenarios of the Ontology Service
Chapter 5 Development Process Ontology: an Illustrative Example
Chapter 6 Conclusions and Future Works

[1] R. A. Flores-Mendez. Toward a Standardization of Multi-Agent System Frameworks. ACM Crossroads, Special Issue on Intelligent Agent, Association for Computer Machinery. 18-24. (1999)
[2] A. S. Rao, M. P. Georgeff. Modeling Rational Agents within a BDI-Architecture, Proceedings of the 2nd International Conference on Principles of Knowledge Representation and Reasoning (KR'91). (1991).
[3] M. E. Bratman. Intention, Plans, and Practical Reason. Cambridge University Press. (1999)
[4] F. Ingrand, M. Georgeff, and A. Rao. An Architecture for Real-Time Reasoning and System Control. IEEE Expert, 7(6). 34-44. (1992).
[5] M. J. Huber. JAM: A BDI-theoretic Mobile Agent Architecture. Proceedings of the Third International Conference on Autonomous Agents. (2001).
[6] M. J. Huber. JAM Agents in a Nutshell. Center for Human-Computer Communication (CHCC) Department of Computer Science and Engineering OGI School of Science & Engineering Oregon Health and Science University. (2001).
[7] N. Howden, R. Ronnquist, A. Hodgson, A. Lucas. JACK Intelligent Agents — Summary of an Agent Infrastructure. Agent Oriented Software Pty. Ltd. (2001)
[8] J. Lee, M. J. Huber, E. H. Durfee, and P. G. Kenny. UM-PRS: An Implementation of the Procedure Reasoning System for Multirobot Applications. Conference on Intelligent Robotics in Field, Factory, Service, and Space (CIRFFSS’94), 842-843. Houston, Texas (1994).
[9] K. L. Myers and D. E. Wilkins. The Act Formalism. Version 2.2 SRI International Artificial Intelligence Center Technical Report, Menlo Park, CA. (1997).
[10] M. Wooldridge. Reasoning About Rational Agent. MIT Press. (2000).
[11] P. Panzarasa, T. J. Norman, N. R. Jennings. Modeling Sociality in the BDI Farmework. World Scientific. (1999).
[12] J. M. Vidal and E. H. Durfee. Task Planning Agents in the UMDL. Proceeding of the Intelligent Information Agents Workshop. (CIKM’95). (1995)
[13] A. Hodgson, R Ronnquist, P. Busetta. Specification of Coordinated Agent Behavior. Workshop on Team Modeling and Plan Recognition. (IJCAI'99). (1999)
[14] Agent Oriented Software Pty, Ltd. JACK Intelligent Agents User Guild. (2002)
[15] Agent Oriented Software Pty, Ltd. JACK Intelligent Agents Practicals. (2002).
[16] J.C. Collis, D. T. Ndumu, H. S. Nwana and L. C. Lee. The ZEUS agent building tool-kit. BT Technology Journal Volume 16 No.3. (1998)
[17] FIPAOntology Service Specification. No.XC00086D. Foundation for intelligent Physical Agents. (2001)
[18] FIPAOntology Service Specification. No. XC00001J. Foundation for intelligent Physical Agents. (2001)
[19] T. Finin, R. Fritzon, D. Mckay, R. McEntire. KQML as an Agent Communication Language. Proceedings of the 3rd International Conference on Information and Knowledge Management (CIKM'94). (1994)
[20] J. Hendler. Agents and the Semantic Web. IEEE Intelligent System Magazine. (2001)
[21] M. N. Huhns, M. P. Singh. Ontology for Agents. IEEE Intelligent computing magazine. (1997)
[22] E. H. Durfee, V. R. Lesser, D. D Corkill. Trends in Cooperative Distributed Problem Solving. IEEE transactions on Knowledge Data Engineering. KDE-1(1), page 63-83. (1989)
[23] R. A. Flores-Mendez. Toward a Standardization of Multi-agent System Frameworks. ACM Crossroads, Special Issue on Intelligent Agents, Association for Computer Machinery. 18-24. (1999)
[24] H.S. Nwana. Software Agents: An overview. The Knowledge Engineering Review. Volume 11, No.3. 205-244. (1996)
[25] T Finin, Y Labrou,. J Mayfield. KQML as agent Communication Language. Software Agents, J.M. Bradshaw(Ed.), Menlo Park, Clalif, AAAI Press. 291-316 (1997)
[26] M. N. Huhns, M.P. Singh. Agents and Multi-agent System: Themes, Approaches, and Challenge. Readings in Agents, Huhns, M.N. and Singh, M.P(Eds.). San Francisco, Calif,Morgan Kaufmann Publisher. 1-23 (1998)
[27] Y. Peng, T. Finin, Y. Labrou, L.J. Chu, W. J. Tonlone, A. A Boughannam. Multi-agent System for Enterprise Integration. Proceedings of Third International Conferrence and Exhibition on Practical Application of Intelligent Agents and Multi-agent Technology. H.S.Nwana and D.T.Ndnmu(Eds). 155-169 (1998)
[28] Agent Oriented Software Pty, Ltd. Simple Team Technical Brief. (2002)
[29] G. C. van der Veer, M. van Welie. Groupware Task Analysis. Tutorial Notes for the CHI99 workshop. Task Analysis Meets Prototyping: Towards seamless UI development. Pittsburgh PA, USA. (1999)
[30] T. Finin, Y. Labrou, J. Mayfield. KQML as an agent communication language. Software Agents. MIT Press, Cambridge. (1995).

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