臺灣博碩士論文加值系統

行動和智慧的代理人系統在分散式系統中已經是一個主要的科技，這個技術被廣泛的應用在電腦資訊領域。他幫助人們工作起來更有效率。然而，到目前為止，以BDI為基礎的多重代理人系統還缺少了一個整合性的工具。
在這篇論文裡，我們提出了一個用來分析、設計、和應用以BDI為基礎的多行動代理人系統的方法論。以這個方法論為基礎，我們並且實做了一個發展環境來支持這個方法論，這個環境參考了ZEUS系統的代理人發展工具並且擴充JAM智慧代理人系統。我的論文裡也介紹了一個支持這個軟體方法論的發展工具集合。

Mobile and intelligent agency is a technology in distributed software. It is applied in many areas of computer science. It helps people working efficiently and effectively. However there might be lack of integrated development tools set for Mobile and BDI-based agents.
In this thesis, we propose a methodology for analyzing, designing, and implementing a Mobile and BDI-based Multi-agent system. Based on the methodology, we implement a development environment to support the methodology, which is referred to the ZEUS [1] agent developing tool and extended to JAM [2] [3] Intelligent agent system, called XJAM system. With XJAM system, my thesis also introduces a set of development tools to support our software methodology in XJAM.

摘 要 I
ABSTRACT II
誌謝 III
Table of Contents IV
List of Figures VI
List of Tables VII
Chapter 1 Introduction 1
1.2 Motivation 2
1.3 Developing tool Function 2
1.4 Thesis Organization 3
Chapter 2 Background 4
2.1 BDI Agent Theory 4
2.2 BDI Agent Architectures 4
2.2.1 PRS (Procedural Reasoning System) 4
2.2.2 JAM 5
2.3 Our Platform 8
2.4 Naming Scheme 9
Chapter 3 Modeling and Design of BDI-Based Multi-Agent System 11
3.1 A Methodology for Analysis and Design of BDI Agent Systems 11
3.1.1 From System View 11
3.1.2 From Agent View 13
3.2 The Methodology 14
3.3 Modeling an Example Application 18
Chapter 4 Our Supporting Environment — AgentCaseEnviroment 25
4.1 Design of AgentCaseEnvironment 26
4.1.1 Tools for editing deployment script 27
4.1.2 Tools for editing agent script file 27
4.1.3 Monitoring tool 28
4.1.4 MAFFinder & Deployment Script Interpreter 28
4.2 Operations of AgentCaseEnvironment 29
4.3 Build applications inside AgentCaseEnvironment 33
4.4 Summary 35
Chapter 5 Deployment Script Scenario 36
5.1 Generating a Deployment Script 36
5.2 DTD File 37
5.3 Application Deploying 39
Chapter 6 Conclusion and Future Work 42
Appendix 43
Appendix A: The code of an agent profile 43
References 45

[1] Nwana, H. S.; Ndumu, D. T.; Lee, L. C.; Collis, J. C. (1999) “ZEUS: A Toolkit for Building Distributed Multi-Agent Systems”, In Applied Artificial Intelligence Journal 13 (1/2), 129-185, 1999.
[2] Huber, M. J. (1999) "JAM: A BDI-theoretic mobile agent architecture". In Proceedings of the Third International Conference on Autonomous Agents (Agents''99), pages 236--243, May 1999.
[3] Huber, M. J. (2001) "JAM Agents in a Nutshell". http://www.marcush.net/IRS/Jam/Jam-man-01Nov01.doc
[4] A. S. Rao and M. P. Georgeff. Modeling Rational Agents Within a BDI-architecture. In Proceedings of the Second International Conference on Principles of Knowledge Representation and Reasoning, Morgan Kaufmann Publishers, San Mateo, CA, 1991.
[5] Bratman, M.E. (1987) “Intentions, Plans, and Practical Reason”. Harvard University Press, Cambridge, MA, US, 1987.
[6] Cohen, P. R.; Levesque, H. J. (1990)“Intention is choice with commitment”. Artificial Intelligence, 42:213—261,1990
[7] Georgeff, M. P.; Lansky, A. L. (1987) “Reactive reasoning and planning”. In Proceedings of the Sixth National Conference on Artificial Intelligence (AAAI-87), pages 677—682, Seattle,WA, 1987.
[8] OMG, The Common Object Request Broker: Architecture and Specification, Revision 2.0, July 1995.
[9] OMG, Common Facilities RFP 3, OMG TC Document 95-11-3, November 3, 1995.
[10] Mobile Objects and Agents (http://www.opengroup.org/RI/java/moa/index.htm).
[11] Ying-chieh Liao July 2003 “Construct a Development Environment for Mobile Multiagent System”