淡江大學覺生紀念圖書館 (TKU Library)
進階搜尋


下載電子全文限經由淡江IP使用) 
系統識別號 U0002-1801201015533000
中文論文名稱 多代理人溝通及協同服務機制於異質環境與資源管理
英文論文名稱 Multi-agent Interoperability and Collaborative Service Mechanisms in Heterogeneous Environments and Resource Management
校院名稱 淡江大學
系所名稱(中) 資訊工程學系博士班
系所名稱(英) Department of Computer Science and Information Engineering
學年度 98
學期 1
出版年 99
研究生中文姓名 林益弘
研究生英文姓名 Yi-Hung Lin
學號 895410149
學位類別 博士
語文別 英文
口試日期 2009-12-25
論文頁數 101頁
口試委員 指導教授-葛煥昭
委員-黃俊堯
委員-林仁智
委員-郭經華
委員-蔣定安
委員-葛煥昭
中文關鍵字 多代理人  異質環境  資源管理 
英文關鍵字 Multi-agent  Heterogeneous Environment  Resource Management 
學科別分類 學科別應用科學資訊工程
中文摘要 近幾年來,在資訊科技急遽發展之下,資訊產品的功能已不再只是提供單一的功能,而是具備多重的功能,例如手持式電話不單單只是具備傳統式的電話功能,而是一個小型的智慧型電腦系統,有鑑於此一趨勢下,我們的研究是在這些系統中運用多代理人的特性自動達成溝通行為與資訊的傳遞、改進傳統的流程、減少管理成本以及提供更加靈活的資源運用。因此,在本論文中我們提出四種多代理行為,包括合作行為、溝通行為、協調行為及競爭行為,並且說明在多代理人中的溝通以及資源靈活運用策略ARAS(包括Amplification (用戶數量是大的,並且資源可能得到更多) 、Restriction (用戶數量是大的,並且資源不可能得到更多) 、Adjustment (數量是少量的用戶,並且資源是更多)以及Surveillance (用戶數量是少量,並且資源也是較少) )。 此外,我們也使用了多個多代理人系統來說明多代理人行為與資源運用的結果,例如, Intelligent Parking System (IPS) ,IPS是一個整合了現有的RFID技術與多代理人行為,提供一個即時停車場狀態的訊息、 Resource Management System(RMS),RMS導入了資源管理策略ARAS以及多代理行為,提供一個較靈活的資源管理系統和Mobile Learning Portal (MLP),MLP是一個創新的互動式系統,包括學習、測試、警示、歷史資訊、社群及個人化。
英文摘要 In recent years, information technology (IT) has rapidly grown in popularity, with IT products beginning to provide more advanced functionality. For example, mobile phones now act not only as conventional phones but also as intelligent computer systems. In this vein, our research seeks to incorporate multi-agent characteristics into such products so that they can automatically execute tasks in the background, transmit messages, improve traditional processes, and reduce management costs, and thus provide more flexibility in the management of resources. Hence, we propose four types of multi-agent behavior—cooperation, communication, coordination, and competition—to realize a degree of interoperability among agents, as well as an amplification (large user volumes and a significant volume of available resources), restriction (large user volumes and constrained resources), adjustment (low user volumes and a significant volume of available resources), and surveillance (low user volumes and constrained resources), i.e., ARAS, approach to flexible resource management. In addition, we apply the proposed concepts in suggested implementations of various multi-agent behavior systems (case studies): an intelligent parking system (IPS), which integrates existing RFID technology and concepts of multi-agent behavior to provide parking lot information in real time; a resource management system (RMS), which implements the ARAS strategy and concepts of multi-agent behavior to provide a more flexible resource management system; and a mobile learning portal (MLP), which is an innovative, interactive system that includes a number of agents for varying purposes (i.e., learning, testing, alarm, history, community, and personalization).
論文目次 Chapter 1 Introduction 1
1.1 Background 1
1.2 Motivation 3
1.3 Organization of Thesis 4
Chapter 2 Related Work 5
2.1 Review of the Principles of Agent Technologies 5
2.1.1 General Concept of an Agent 6
2.1.2 Agent Activities and the Interoperability Model 9
2.1.3 Agent Communication Language (ACL) 13
2.2 Telecommunications Billing System 16
2.2.1 Billing Architecture 16
2.2.2 Charging Data for CDRs/EDRs/IPDRs 18
2.3 Android-An Open Handset Alliance Project 19
Chapter 3 Multi-agent Interactions and Collaboration 21
3.1 Multi-agent Synchronous/Asynchronous 21
3.2 Multi-agent behaviors 23
3.2.1 Cooperation Behavior 23
3.2.2 Communication Behavior 25
3.2.3 Coordination Behavior 26
3.2.4 Competition Behavior 27
3.3 Summary 31
Chapter 4 The ARAS Strategy of Multi-agent Systems 33
4.1 ARAS Definition 33
4.1.1 Amplification 35
4.1.2 Restriction 36
4.1.3 Adjustment 37
4.1.4 Surveillance 38
4.2 The ARAS Algorithm for a Multi-agent Strategy 39
4.3 Formal Method of ARAS Strategy Implementation for a Multi-agent System 43
4.4 The Relationship between Agent Behaviors and the ARAS Strategy 51
4.5 Summary 53
Chapter 5 Evaluation and Discussion 55
5.1 The Foundation Emulator Framework 55
5.2 Mobile 58
5.2.1 Family Care System 58
5.2.2 Mobile Learning Portal 65
5.2.3 Intelligent Parking System 72
5.3 Stationary 83
5.3.1 General Communication Procedure 83
5.3.2 Force Interrupt Procedure 84
5.3.3 Communication Agent 85
5.3.4 Monitor Agent 86
5.3.5 Policy Agent 87
5.3.6 System Application 87
5.4 Summary 90
Chapter 6 Conclusions and Future Work 92
REFERENCES 95

Figure 1-1 Thesis Organization 4
Figure 2-1 Agent Announcement State Transition Diagram 10
Figure 2-2 The Abstract model of KQML 13
Figure 2-3 KQML string syntax in BNF 15
Figure 2-4 Billing System 16
Figure 2-5 Android Architecture 19
Figure 3-1 Synchronous Multi-agent System 22
Figure 3-2 Asynchronous Multi-agent System 22
Figure 3-3 Multi-agent behaviors 23
Figure 3-4 Cooperation behavior 23
Figure 3-5 Communication behavior 25
Figure 3-6 Coordination behavior 26
Figure 3-7 Competition behavior 28
Figure 4-1 The resource control cycle 33
Figure 4-2 The strategy quadrant diagram 34
Figure 4-3 The ARAS strategy Communication State Diagram 34
Figure 4-4 Amplification Control Process 35
Figure 4-5 Restriction Control Process 36
Figure 4-6 Adjustment Control Process 37
Figure 4-7 Surveillance Control Process 38
Figure 4-8 The Exploitation Rate Comparison Chart 42
Figure 4-9 The Relationship between Agent Behaviors and the ARAS Strategy 51
Figure 4-10 Call Center with ARAS 54
Figure 5-1 Foundation Emulator Framework 55
Figure 5-2 Family Care System Diagram 58
Figure 5-3 Family Care System Architecture 62
Figure 5-4 FCS communication amongst agents 63
Figure 5-5 Family Care System Implementation Diagram 64
Figure 5-6 MLP system Diagram 65
Figure 5-7 Mobile Learning Portal Agent State Diagram 66
Figure 5-8 Learning Agent State Diagram 67
Figure 5-9 Testing Agent State Diagram 67
Figure 5-10 Alarm Agent State Diagram 68
Figure 5-11 History Agent State Diagram 69
Figure 5-12 Community Agent State Diagram 70
Figure 5-13 Personalization Testing Agent State Diagram 71
Figure 5-14 RFID System Architecture 72
Figure 5-15 Intelligent Parking System Architecture 73
Figure 5-16 Intelligent Parking System 74
Figure 5-17 Authentication Agent State Diagram 75
Figure 5-18 Service Agent State Diagram 77
Figure 5-19 RFID Agent State Diagram 78
Figure 5-20 Billing System Architecture 80
Figure 5-21 Billing Agent State Diagram 80
Figure 5-22 System Architecture of Resource Management System 83
Figure 5-23 General Communication Procedure 84
Figure 5-24 Force Interrupt Procedure 85
Figure 5-25 Communication Agent State Diagram 86
Figure 5-26 Monitor Agent State Diagram 86
Figure 5-27 Policy Agent State Diagram 87
Figure 5-28 Computer Lab RMS system functions and GUI 89

Table 1-1 The evolution of cellular phone networks 1
Table 2-1 Classification of Existing Methodologies 6
Table 2-2 Agent Classifications 10
Table 2-3 Agent Communication Function _Name 11
Table 2-4 Agent Communication Parameter _Name 11
Table 2-5 Agent Communication Action _Type 11
Table 2-6 Agent Communication Message _Type 12
Table 2-7 Summary of reserved performatives, for sender S and recipient R. 14
Table 3-1 Agent Attributes and Class Relationships 21
Table 3-2 Classification of Agent behavior 31
Table 4-1 The Exploitation Rate of Definition 4.1 I 41
Table 4-2 The Exploitation Rate of Definition 4.2 (t=6) II 41
Table 4-3 The Exploitation Rate of Definition 4.2 (t=8) III 42
Table 4-4 The Comparisons of I, II and III Exploitation Rate 42
Table 4-5 The Initial State of ARAS 47
Table 4-6 The Amplification State of ARAS 48
Table 4-7 The Restriction State of ARAS 48
Table 4-8 The Adjustment State of ARAS 49
Table 4-9 The Surveillance State of ARAS 49
Table 4-10 The Return Situation of ARAS 50
Table 5-1 Cross Platform Using Agent 56
Table 5-2 the relationships between roles and modules of the Family Care System 61
Table 5-3 MLP Agent relationships 71
Table 6-1 Agent-based behavior research 93

參考文獻 [1] Amy, L. M. and Gian, P. P., 1999. Reliable Communication for Highly Mobile Agents. ASAMA 99, 141-150.
[2] B. Ozen, O. Kilic, M. Altinel, and A. Dogac, 2004. Highly Personalized Information Delivery to Mobile Clients. Wireless Networks, Vo1.10, No.6, 665-683.
[3] Barg, M. and Wong, RK, 2000. A Multi-agent Architecture for Cooperative Query Answering. In Proceedings of the 33rd Annual Hawaii International Conference on System Sciences, 1-10, Date: 4-7 Jan.
[4] Bryan Horling, Victor Lesser,Regis Vincent and Thomas Wagner, 2006. The Soft Real-Time Agent Control Architecture. Autonomous Agents and Multi-agent Systems, Vol.12, No.1, 35-91.
[5] Burnette, E., 2008. Hello, Android: Introducing Google's Mobile Development Platform. Pragmatic Bookshelf.
[6] Cao, J., Jarvis, S. A., Saini, S., Kerbyson, D. J., and Nudd, G. R, 2002. ARMS: An agent-based resource management system for grid computing. Scientific Programming, Vol.10, No.2, 135-148
[7] Chakraborty, P. S., Tripathy, A., and Chakrabarti, S. 2009. A platform for charging, accounting and billing in telecommunication networks and the internet. In Proceedings of the international Conference on Advances in Computing, Communication and Control (Mumbai, India, January 23 - 24, 2009). ICAC3 '09. ACM, New York, NY, 633-638.
[8] Chen, J. L., 2000. A Multiagent-based Multi-Instruction Agent, Master Thesis, Dept. of Information Engineering and Computer Science, Feng Chia University, Taichung, Taiwan.
[9] Crabtree, I.B., Soltysiak, S.J., and Thint, M.P., 1998. Adaptive Personal Agents. Personal Technologies Journal, 2(3):141-151.
[10] Crookes, J. 1997. Multiservice billing system — a platform for the future. BT Technology Journal 15, 1, 98-113.
[11] D. Kotz and Robert S. Gray, 1999. Mobile Agents and the Future of the Internet. ACM SIGOPS Operating Systems Review, vol 33, 3: 7-13.
[12] DiMarzio, J. 2008 ANDROID a PROGRAMMERS GUIDE. 1. McGraw-Hill Osborne Media.
[13] D.L. Martin, A. J. Cheyer and D.B. Moran, 1999. The Open Agent Architecture: A framework for building distributed software systems. Applied Artificial Intelligence, 13: 91-128.
[14] Du?an Teodorovi? and Panta Lu?i?, 2006. Intelligent parking systems. European Journal of Operational Research, Vol.175, No. 3, 1666-1681.
[15] Eleni Stroulia and Maurine P. Hatch, 2003. An Intelligent-Agent Architecture for Flexible Service Integration on the Web. IEEE TSMCC, 33(4): 468-479.
[16] Etzioni, O. and Weld, D.S., 1995. Multi-agent on the Internet: Fact, Fiction, and Forecast. IEEE Expert, 10(3): 44-49.
[17] Erbas, C., Pimentel, A. D., Thompson, M., and Polstra, S., 2007. A framework for system-level modeling and simulation of embedded systems architectures. EURASIP J. Embedded Syst., 1 (Jan.), 2-2.
[18] Fei, Y., Jin, G., and Wu, R., 2008. Research on Data Processing in RFID Middleware Based on Event-Driven. In Proceedings of the 2008 IEEE international Conference on E-Business Engineering (October 22 - 24, 2008). ICEBE. IEEE Computer Society, Washington, DC, 578-581.
[19] Fianyo, E., Treuil, J.P., and Pinson, S. Osiris, 2001. System: Architecture for Coupling Environmental Processes With Agents. In Proceeding of 13th European Simulation Symposium, Oct. 18-20, 864-866.
[20] Finin, T., Labrou, Y. and Yun Peng, 1998. Mobile agents can benefit from standards efforts on interagent communication. Communications Magazine, IEEE, 36(7): 50–56.
[21] Floerkemeier, C. and Lampe, M., 2005. RFID middleware design-addressing application requirements and RFID constraints. sOc-EUSAI '05, October 12 - 14, 219-224.
[22] Francisco P. Maturana, Raymond J. Staron and Kenwood H. Hall, 2005. Methodologies and Tools for Intelligent Agents in Distributed Control. IEEE Intelligent Systems, Vol.20, No.1, 42-49.
[23] Garcia, P., Compton, K., Schulte, M., Blem, E., and Fu, W., 2006. An overview of reconfigurable hardware in embedded systems. EURASIP J. Embedded Syst. 1 (Jan. 2006), 13-13.
[24] Gavalas, D., Tsekouras, G. E., and Anagnostopoulos, C., 2009. A mobile agent platform for distributed network and systems management. J. Syst. Softw. 82, 2 (Feb. 2009), 355-371.
[25] Giancarlo Fortino, Alfredo Garro and Wilma Russo, 2008. Achieving Mobile Agent Systems interoperability through software layering. Information and Software Technology, Vol.50, No.4, 322-341.
[26] Glitho, R.H., Olougouna, E. and Pierre, S., 2002. Mobile agents and their use for information retrieval: a brief overview and an elaborate case study. Network, IEEE, 16(1): 34 – 41.
[27] G. M. P. O'Hare, M. J. O'Grady, C. Muldoon, and J. F. Bradley, 2006. Embedded agents: a paradigm for mobile services. International Journal of Web and Grid Services, Vol.2, No.4, 379-405.
[28] Guerin, R., S. Kamat, V. Peris, and R. Rajan, 1998. Scalable QoS Provision Through Buffer Management. In Proceedings of ACM SIGCOMM, August 31 - September 4, 29-40.
[29] Hadj-Kacem, A., Regayeg, A., and Jmaiel, M., 2007. ForMAAD: A formal method for agent-based application design. Web Intelli. and Agent Sys. 5, 4 (Dec. 2007), 435-454.
[30] Hall, S., 2008. Getting Started with Iphone Sdk, Android and Others: Mobile Application Development - Create Your Mobile Applications Best Practices Guide. Emereo Pty Ltd.
[31] Hayzelden, A. L. and Bigham, J., 1999. Agent technology in communications systems: an overview. Knowl. Eng. Rev. 14, 4 (Dec. 1999), 341-375.
[32] Hoag, J. E. and Thompson, C. W., 2006. Architecting RFID Middleware. IEEE Internet Computing 10, 5 (Sep. 2006), 88-92.
[33] Holzer, M., Knerr, B., Belanovi, P., and Rupp, M., 2006. Efficient design methods for embedded communication systems. EURASIP J. Embedded Syst. 2006, 1 (Jan. 2006), 21-21.
[34] Horling, B. and Lesser, V., 2004. A survey of Multi-agent organizational paradigms. Knowl. Eng. Rev. 19, 4 (Dec. 2004), 281-316.
[35] https://www.cs.tcd.ie/research_groups/aig/iag/survey.html.
[36] http://www.iec.org.
[37] Hu, W., Ye, W., Huang, Y., and Zhang, S., 2008. Complex Event Processing in RFID Middleware: A Three Layer Perspective. In Proceedings of the 2008 Third international Conference on Convergence and Hybrid information Technology - Volume 01 (November 11 - 13, 2008). ICCIT. IEEE Computer Society, Washington, DC, 1121-1125.
[38] Hunter, J. and Thiebaud, M. E., 2002 Telecommunications Billing Systems. 1. McGraw-Hill Pub. Co.
[39] Ilarri, S., Mena, E., and Illarramendi, A., 2008. Using cooperative mobile agents to monitor distributed and dynamic environments. Inf. Sci. 178, 9 (May. 2008), 2105-2127.
[40] Ipate, F., 2006. Testing against a non-controllable stream X-machine using state counting. Theor. Comput. Sci. 353, 1 (Mar. 2006)
[41] J. Cucurull, R. Marti,G. Navarro-Arribas,S. Robles, B. Overeinder and J. Borrell, 2009. Agent mobility architecture based on IEEE-FIPA standards. Computer Communications, Vol.32, No.4, 712-729.
[42] J. Tweedale, N. Ichalkaranje, C. Sioutis, B. Jarvis, A. Consoli and G. Phillips-Wren, 2007. Innovations in Multi-agent systems. Journal of Network and Computer Applications, Vol.30, No.3, 1089-1115.
[43] Jackson, D. J. and Caspi, P., 2005. Embedded systems education: future directions, initiatives, and cooperation. SIGBED Rev. 2, 4 (Oct. 2005), 1-4.
[44] Jeffrey M. Bradshaw, 1997. Software agents. AAAI Press/ The MIT Press. ISBN: 0-262-52234.
[45] Jeffery, S. R., Franklin, M. J., and Garofalakis, M., 2008. An adaptive RFID middleware for supporting metaphysical data independence. The VLDB Journal 17, 2 (Mar. 2008), 265-289.
[46] Joseph E. Hoag and Craig W. Thompson, 2006. Architecting RFID Middleware. IEEE Internet Computing, Vol.10, No.5, 88-92.
[47] Kalogeraki, V., Melliar-Smith, P. M., Moser, L. E., and Drougas, Y., 2008. Resource management using multiple feedback loops in soft real-time distributed object systems. Journal of Systems and Software, Vol.81, No.7, 1144-1162.
[48] Konstantinos, Domdouzis, Bimal Kumar and Chimay Anumba, 2007. Radio-Frequency Identification (RFID) applications: A brief introduction. Advanced Engineering Informatics, Vol.21, No.4, 350-355.
[49] L. Miller et al., 1998. Multi-Mobile Agents for Information Retrieval and Knowledge Discovery from Distributed Data and Knowledge Sources. Proc. IRRR Information Technology Conf., IEEE press, 99-102.
[50] Li Zhekun, Rajit Gadh and B.S. Prabhu, 2004. Applications of RFID Technology And Smart Parts In Manufacturing. ASME Design Engineering Technical Conferences and Computers and Information in Engineering Conference, September 28-October 2, 1-7.
[51] Liu, H., Li, J., Zhang, J., and Bai, X., 2008. A Performance Improvement to the Web Services-Based RFID Middleware. In Proceedings of the 2008 international Conference on Advanced Computer theory and Engineering - Volume 00 (December 20 - 22, 2008). ICACTE. IEEE Computer Society, Washington, DC, 657-661.
[52] LIU, J. and YAO, C., 2004. Rational competition and cooperation in ubiquitous agent communities. Knowledge-Based Systems, 17, 189-200.
[53] Liviu Panait and Sean Luke, 2005. Cooperative Multi-agent Learning: The State of the Art. Autonomous Agents and Multi-agent Systems, Vol. 11, No.3, 387 - 434.
[54] Lyu, M.R., Xinyu Chen and Tsz Yeung Wong, 2004. Design and evaluation of a fault-tolerant mobile-agent system, Multi-Systems, IEEE Volume 19, Issue 5, Sep-Oct 32 – 38.
[55] Maria Koutsopoulou, Alexandros, Kaloxylos, Athanassia, Alonistioti and Lazaros Merakos, 2007. A platform for charging, billing, and accounting in future mobile networks. Computer Communications, Vol.30, No.3, 516-526.
[56] Marin, D. and Mohan, P., 2009. Personalisation in mobile learning. Int. J. Mob. Learn. Organ. 3, 1 (Feb. 2009), 25-43.
[57] Meawad, F. and Stubbs, G., 2008. A framework for enabling on-demand personalised mobile learning. Int. J. Mob. Learn. Organ. 2, 2 (Jul. 2008), 133-148.
[58] McGee, D. and Cohen, P., 1998. Exploring Handheld, Agent-based, Multimodal Collaboration. In Proceedings of the Workshop on Handheld Collaboration at the Conference on Computer Supported Cooperative Work. Seattle, WA.
[59] Mehdi Dastani and Jorge J. Gomez-sanz, 2005. Programming Multi-agent systems. The Knowledge Engineering Review, Vol.20, No.2, 151-164.
[60] Michael LUCK, Ronald ASHRI and Mark D’INVERNO, 2004. Agent-Based Software Development. Artech House Computing Library. ISBN: 1-58053-605-0.
[61] Michael Wooldridge, 2002. Intelligent Agents: The Key Concepts. Proceedings of the 9th ECCAI-ACAI/EASSS 2001, AEMAS 2001, HoloMAS 2001 on Multi-agent-Systems and Applications II-Selected Revised Papers, 3-43.
[62] Mulliah, A. and Stroulia, E., 2009. Mobile devices for collaborative learning in practicum courses. Int. J. Mob. Learn. Organ. 3, 1 (Feb. 2009), 44-59.
[63] Nicoletta Fornara, Francesco Vigano and Marco Colombetti, 2007. Agent communication and artificial institutions. Autonomous Agents and Multi-agent Systems, Vol.14, No.2, 121-142.
[64] Noureddine Boudriga and Mohammad S. Obaidat, 2004. Intelligent Agents On The Web: A Review. Computing in Science and Engineering, 06(4): 35-42.
[65] Paivi Kallio1, Roberto Tiella2, and Alessandro Zorer2, 2004. Accounting and billing of wireless internet services in 3G networks. International Journal of Mobile Communications, 2(3): 294-309.
[66] Paul Davidsson , Fredrik Wernstedt, 2002. A Multi-agent system architecture for coordination of just-in-time production and distribution. Proceedings of the 2002 ACM symposium on Applied computing, March 11-14, 2002, Madrid, Spain.
[67] Postel, J., 1980. Transmission Control Protocol, RFC 761, January.
[68] Postel, J., 1980. User Datagram Protocol, STD 6, RFC 768, August.
[69] Prabhu, B.S., X. Su, H. Ramamurthy, C-C. Chu, and R. Gadh, 2005. WinRFID—A Middleware for the enablement of Radio Frequency Identification (RFID) based Applications. Invited chapter in Mobile, Wireless and Sensor Networks: Technology, Applications and Future Directions, December.
[70] Sarit Kraus, 1997. Negotiation and Cooperation in Multi-agent Environments. Artificial Intelligence, 94(1-2): 79-97.
[71] Seong, D. S., 2006. Usability guidelines for designing mobile learning portals. In Proceedings of the 3rd international Conference on Mobile Technology, Applications &Amp; Systems (Bangkok, Thailand, October 25 - 27, 2006). Mobility '06, vol. 270. ACM, New York, NY, 25.
[72] Schoeman, M. and Cloete, E., 2003. Architectural components for the efficient design of mobile agent systems. In Proceedings of the 2003 Annual Research Conference of the South African institute of Computer Scientists and information Technologists on Enablement Through Technology (September 17 - 19, 2003), 48-58.
[73] Selwyn Piramuthu, 2007. Protocols for RFID tag/reader authentication. Decision Support Systems, Vol.43, No.3, 897-914.
[74] Shehory, O., Sycara, K., Chalasani, P. and Jha, S., 1998. Agent cloning: an approach to agent mobility and resource allocation Communications Magazine, IEEE Volume 36, Issue 7, July, 63 – 67.
[75] Smith, L. and Laird, C., 2001. Android: open-source scripting for testing and automation. Dr. Dobb's J. 26, 3 (Jul. 2001), 99-102.
[76] Springer, T., Schuster, D., Braun, I., Janeiro, J., Endler, M., and Loureiro, A. A., 2008. A flexible architecture for mobile collaboration services. In Proceedings of the ACM/IFIP/USENIX Middleware '08 Conference Companion (Leuven, Belgium, December 01 - 05, 2008). ACM, New York, NY, 118-120.
[77] Steven K.C. Lo, Huan-Chao Keh, Yi-Hung Lin and Wang Jo-Chi, 2009. Integrated the Intelligent Agent Behavior Model and Billing Service into Communication System. Information Technology Journal 8 (5): 668-677.
[78] Steven K.C. Lo,Huan-Chao Keh and Yi-Hung Lin,2009. Embedded the Mobile Learning Agent into Intelligent System. ICMLC 2009, 2910-2915.
[79] Steven K.C. Lo, 2002. THE MECHANISM OF KNOWLEDGE DISSEMINATION AND DISCOVERY IN KNOWLEDGE MANAGEMENT.
[80] Sycara, K. 2001. Multi-agent infrastructure, agent discovery, middle agents for Web services and interoperation. In Mutli-Agents Systems and Applications, J. G. Carbonell and J. Siekmann, Eds. Springer-Verlag New York, New York, NY, 17-49.
[81] T. Magedanz, K. Rothermel, and S. Krause, 1996. Multi-agent: An Emerging Technology for Next Generation Telecommuniations ,Proc. 15th Ann. Joint Conf. IEEE Computer and Communications Societies, IEEE Press, 464-472.
[82] Tim Finin and Jay Weber, 1993. DRAFT Specification of the KQML Agent Communication Language.
[83] Torroni, P. 2004. Computational Logic in Multi-agent Systems: Recent Advances and Future Directions. Annals of Mathematics and Artificial Intelligence 42, 1-3 (Sep. 2004), 293-305.
[84] Ughetti, M., Trucco, T., and Gotta, D., 2008. Development of Agent-Based, Peer-to-Peer Mobile Applications on ANDROID with JADE. In Proceedings of the 2008 the Second international Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies - Volume 00 (September 29 - October 04, 2008). UBICOMM. IEEE Computer Society, Washington, DC, 287-294.
[85] Vilkomir, S. A., Ghose, A. K., and Krishna, A., 2004. Combining Agent-Oriented Conceptual Modelling with Formal Methods. In Proceedings of the 2004 Australian Software Engineering Conference (April 13 - 16, 2004). ASWEC. IEEE Computer Society, Washington, DC, 147.
[86] Wahl, M., Alvestrand, H., Hodges, J., and R. Morgan, 2000. Authentication Methods for LDAP, RFC 2829, May.
[87] Wahl, M., Howes, T., and S. Kille, 1997. Lightweight Directory Access Protocol (v3), RFC 2251, December.
[88] Wei, J., Zhuo, J., and Zhang, H., 2008. Development of a mobile learning model with usability features for online education. Int. J. Mob. Learn. Organ. 2, 1 (Jun. 2008), 18-35.
[89] Windows CE Homepage. http://www.microsoft.com/windows/embedded/ce.net/.
[90] Wittig, T. (ed.), 1992. ARCHON: An Architecture for Multi-agent Systems, London: Ellis Horwood.
[91] Wooldridge, M. and Jennings, N. (eds.), 1995. Multi-agent, Lecture Notes in Artificial Intelligence, Heidelberg: Springer-Verlag. 890.
[92] Wooldridge, M., Mueller, J. P. and Tambe, M., 1996. Intelligent Agents II. Volume 1037 of Lecture Notes in Artificial Intelligence, Springer-Verlag, January. ISBN 3-540-60805-2.
[93] Wooldridge. M. and Jennings, N.R., 1995. Multi-agent: Theory and Practice. The Knowledge Engineering Review, 10(2): 115-152.
[94] Yang, H., Chu, Y. M., Wang, L. W., Yu, J., and Yang, H., 2008. A study of educational functions of mobile learning. In Proceedings of the 8th WSEAS international Conference on Multimedia Systems and Signal Processing (Hangzhou, China, April 06 - August 08, 2008). Q. Li, S. Y. Chen, A. Xu, and M. Li, Eds. Electrical And Computer Engineering Series. World Scientific and Engineering Academy and Society (WSEAS), Stevens Point, Wisconsin, 158-163.
[95] Yulian Fei and Wenjuan Chen, 2007. A Multi-agent, Multi-object and Multi-attribute Intelligent Negotiation Model. Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery, Vol.03, 440-446.
[96] Yunwen Ye, 2003. Programming with an Intelligent Agent. IEEE Intelligent Systems, Vol.18, No.3, 43-47.
[97] Yu-Yi Chen, Jinn-Ke Jan and Chin-Ling Chen, 2005. A fair and secure mobile billing system. Computer Networks: The International Journal of Computer and Telecommunications Networking, Vol.48, No.4, 517-524.
[98] Zili Zhang, Chengqi, and Zhang, 2007. Building agent-based hybrid intelligent systems: A case study. Web Intelligence and Agent Systems, Vol.5, No.3, 255-271.
[99] Zhang, X. and Lesser, V., 2007. Meta-level coordination for solving negotiation chains in semi-cooperative Multi-agent systems. In Proceedings of the 6th international Joint Conference on Autonomous Agents and Multiagent Systems (Honolulu, Hawaii, May 14 - 18, 2007). AAMAS '07. ACM, New York, NY, 1-8.
[100] Zlotkin, G. and Rosenschein, J. S., 1989. Negotiation and Task Sharing among Autonomous Agents in Cooperative Domains. Proceedings of the 11th IJCAI, Detroit, Michigan, 912-917.
[101] Jacques Ferber, 1999. Multi-Agent Systems An Introduction to Distributed Artificial Intelligence. ADDISON-WESLEY. ISBN 0-201-36048-9.
[102] Holcombe, M. 1988. X-machines as a basis for dynamic system specification. Softw. Eng. J. 3, 2 (Mar. 1998), 69-76.
[103] Eilenberg, S. 1974. Automata, Machines and Languages. Vol. A. Academic Press.
[104] http://jade.tilab.com/
論文使用權限
  • 同意紙本無償授權給館內讀者為學術之目的重製使用,於2011-01-27公開。
  • 同意授權瀏覽/列印電子全文服務,於2011-01-27起公開。


  • 若您有任何疑問,請與我們聯絡!
    圖書館: 請來電 (02)2621-5656 轉 2281 或 來信