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A Hybrid System Based on Multi-Agent Systems in Case of e-WeddingThailand

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Agents and Data Mining Interaction (ADMI 2011)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7103))

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Abstract

We describe the usage of the Multi-agent system in the on-going project, called e-WeddingThailand. The aim of this project is to utilize MAS and various approaches, like Web services, Ontology, and Data mining techniques, in e-Business that want to improve responsiveness and efficiency of systems so as to extract customer behavior model on Wedding Businesses. The multi agent system, which constitutes the backbone of the framework, connects these pieces together and makes them perform properly. JADE is the MAS platform implemented this project. JADE is quite easy to learn and use. Moreover, it supports many agent approaches such as agent communication, protocol, behavior and ontology.

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References

  1. Sandholm, T., Lesser: Advantages of a Leveled Commitment Contracting Protocol. In: Thirteenth National Conference on Artificial Intelligence (AAAI-1996), Portland, OR, pp. 126–133 (1996)

    Google Scholar 

  2. Klein, M., Dellarocas, C.: Towards a Systematic Repository of Knowledge about Managing Multi-Agent System Exceptions. Massachusetts Institute of Technology, Cambridge (2000)

    Google Scholar 

  3. Balachandran, B.M., Enkhsaikhan, M.: Developing Multi-agent E-Commerce Applications with JADE. In: Apolloni, B., Howlett, R.J., Jain, L. (eds.) KES 2007, Part III. LNCS (LNAI), vol. 4694, pp. 941–949. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  4. Kimbrough, S.O., Wu, D., Zhong, F.: Computers play the Beer Game: Can artificial agents manage supply chains. Decision Support Systems, 323–333 (2002)

    Google Scholar 

  5. Teigen, R., Barbuceanu, M.: The supply chain demonstrator Technical report and user guide by the Enterprise Integration Laboratory. Department of Industrial Engineering, University of Toronto, Ontario, Canada (1996)

    Google Scholar 

  6. Maturana, F., Shen, W., Norrie, D.: Metamorph: an adaptive agent-based architecture for intelligent manufacturing. International Journal of Production Research 37, 2159–2173 (1999)

    Article  MATH  Google Scholar 

  7. Cloutier, L., Frayret, J.-M., D’Amours, S., Espinasse, B., Montreuil, B.: A Commitment-Oriented Framework for Networked Manufacturing Co-ordination. International Journal of Computer Integrated Manufacturing 14(6), 522–534 (2001)

    Article  Google Scholar 

  8. Lyonnais, P., Montreuil, B.: Un environnement distribué de simulationà based’agents. In: 3e Conférence Francophone De Modélisation et SIMulation (MOSIM) Conception, Analyseet Gestion Des systèmes Industriels, Troyes, France (2001)

    Google Scholar 

  9. IBM, Research: BPMAT: A business process modeling and analysis tool, http://www.research.ibm.com/pdtr/bpmat.htm

  10. Sadeh, N., Hildum, D., Kjenstad, D., Tseng, A.: MASCOT: An agent-based architecture for coordinated mixed-initiative supply chain planning and scheduling. In: 3rd International Conference on Autonomous Agents, Workshop Notes, Agent-Based Decision Support for Managing the Internet Enabled Supply Chain (1999)

    Google Scholar 

  11. Baumgaertel, H., Brueckner, S., Parunak, V., Vanderbok, R., Wilke, J.: Agent models of supply network dynamics. The Practice of Supply Chain Management (2001), http://www.anteaters.net/sbrueckner/publications/2001/-AgentModelsOfSupplyNetworkDynamicssubmitted20010209.pdf

  12. Walsh, W.E.: Market protocols for decentralized supply chain formation. Ph.D. thesis, University of Michigan, Ann Arbor, Michigan, USA (2001)

    Google Scholar 

  13. Labarthe, O.: Modelisation multi-agent de chaınes logistiques. Memoire. deDiplpome Etudes Approfondies, Université d’Aix-Marseille 3, Marseilles, France (2000)

    Google Scholar 

  14. Bournez, C., Gutknecht, O.: Modèle de contrôle par émergence de coordinations dans un réseau de contrats multiagents. In: Journées Francophones de l’Intelligence Artificielle Distribuée et des Systèmes MultiAgents, Montreal, Que-bec, Canada (2001)

    Google Scholar 

  15. Abbas, K., Aïmeur, E., Kropf, P.: aKIA Automobile: a Multi-Agent System in E-Commerce. In: International Conference on Electronic Commerce Research (ICECR-5) (2010)

    Google Scholar 

  16. Somchart, F., Manpanpanich, P., Sekpon, J.: Multi-Application Authentication Based on Multi-Agent System. In: IMECS 2007, pp. 1316–1321 (2007)

    Google Scholar 

  17. Glaschenko, A., Ivaschenko, A., Rzevski, G., Skobelev, P.: Multi-Agent Real Time Scheduling System for Taxi Companies. In: Proc. of 8th Int. Conf. on Autonomous Agents and Multiagent Systems (AAMAS 2009), Budapest, Hungary, May 10-15, pp. 29–36 (2009)

    Google Scholar 

  18. Negri, A., Poggi, A., Tomaiuolo, M., Turci, P.: Agents for e-Business Applications. In: Proceedings of the Fifth International Joint Conference on Autonomous Agents and Multiagent Systems, Hakodate, Japan (2006)

    Google Scholar 

  19. Haibo, Y., Tsunenori, M., Makoto, A.: A Multi-Agent-Based Semantic Web Service System. In: The International Symposium on Information Science and Electrical Engineering 2003 (ISEE 2003), Fukuoka, Japan, November 13-14, pp. 633–636 (2003)

    Google Scholar 

  20. Jennings, N.: Agent-based Software Engineering Artificial Intelligence, pp. 277–296 (2000)

    Google Scholar 

  21. Moreno, A.: Medical Applications of Multi-Agent Systems. Computer Science and Mathematics Department, University of Rovira, Spain (2003)

    Google Scholar 

  22. Stone, P., Veloso, M.: Multi-agent Systems: A Survey from a Machine Learning Perspective. Autonomous Robots 8(3), 345–383 (2008), http://www.springerlink.com/index/W2671G4Q27327305.pdf , doi:10.1023/A:1008942012299 (retrieved April 20, 2008)

  23. Panait, L., Luke, S.: Cooperative Multi-Agent Learning: The State of the Art. Autonomous Agents and Multi-Agent Systems 11(3), 387–434 (2005)

    Article  Google Scholar 

  24. Padghan, L., Winikopff, M.: Developing Intelligent AgentSystems. Wiley (2004)

    Google Scholar 

  25. JADE, Java Agent Development Environment, http://jade.tilab.com

  26. Chinnici, R., Gudgin, M., Moreau, J.-J., Schlimmer, J., Weerawarana, S.: Web Services Description Language (WSDL) Version 2.0 Part 1: Core Language, W3C Working Draft (2003), http://www.w3.org/TR/2003/WD-wsdl20-20031110/

  27. Gudgin, M., Hadley, M., Mendelsohn, N., Moreau, J.-J., Nielsen, H.: SOAP Version 1.2 Part 1: Messaging Framework, W3C Recommendation, http://www.w3.org/TR/2003/REC-soap12-part1-20030624/

  28. Hendler, J.: Agents and the semantic web. IEEE Intelligent Systems 16(2), 30–37 (2001)

    Article  Google Scholar 

  29. Fayyad, U.M., Pitatesky-Shapiro, G., Smyth, P., Uthurasamy, R.: Advances in Knowledge Discovery and Data Mining. AAAI/MIT Press (1996)

    Google Scholar 

  30. Frawley, W., Piatetsky-Shapiro, G., Matheus, C.: Knowledge Discovery in Databases: An Overview. AI Magazine, 213–228 (Fall 1992)

    Google Scholar 

  31. http://www.infovis-wiki.net/index.php?title=Image:Fayyad96kdd-process.png

  32. Norwati, M., Manijeh, J., Mehrdad, J.: Expectation Maximization Clustering Algorithm for User Modeling in Web Usage Mining Systems. European Journal of Scientific Research 32(4), 467–476 (2009) ISSN 1450-216X

    Google Scholar 

  33. Jim, R.: Data Mining using the EM clustering algorithm on Places Rated Almanac Data, http://www.galaxy.gmu.edu/stats/syllabi/inft979/RogersPaper.pdf

  34. MacQueen, R.: Some Methods for classification and Analysis of Multivariate Observations. In: Proceedings of 5-th Berkeley Symposium on Mathematical Statistics and Probability, vol. 1, pp. 281–297. University of California Press, Berkeley (1967)

    Google Scholar 

  35. Hsu, C.-W., Chang, C.-C., Lin, C.-J.: A Practical Guide to Support Vector Classification, http://www.csie.ntu.edu.tw/~cjlin/papers/guide/guide.pdf

  36. Jakkula, V.: Tutorial on Support Vector Machine. School of. EECS, Washington State University (2006)

    Google Scholar 

  37. Kularbphettong, k.: e-Negotiation based on Multi-agent ssyetm. In: JCSSE 2007 –The International Joint Conference on Computer Science and Software Engineer, Thailand (2007)

    Google Scholar 

  38. Kularbphettong, K., Clayton, G., Meesad, P.: e-Wedding Based on Multi-agent System. In: Demazeau, Y., Dignum, F., Corchado, J.M., Bajo, J., Corchuelo, R., Corchado, E., Fernández-Riverola, F., Julián, V.J., Pawlewski, P., Campbell, A. (eds.) Trends in PAAMS. Advances in Intelligent and Soft Computing, vol. 71, pp. 285–293. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  39. Kularbphettong, K., Clayton, G., Meesad, P.: A Hybrid System based on Multi-agent System in Data Preprocessing stage: e-Wedding. International Journal of Computer Science and Information Security (2010)

    Google Scholar 

  40. Cao, L., Gorodetsky, V., Mitkas, P.: Agent Mining: The Synergy of Agents and Data Mining. IEEE Intelligent Systems 24(3), 64–72 (2009)

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. Science and Technology Faculty, Suan Sunandha Rajabhat University, Bangkok, Thailand

    Kunyanuth Kularbphettong

  2. Information Technology Faculty, King Mongkut’s University of Technology North Bangkok, Bangkok, Thailand

    Phayung Meesad & Gareth Clayton

Authors
  1. Kunyanuth Kularbphettong
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  2. Phayung Meesad
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  3. Gareth Clayton
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Editor information

Editors and Affiliations

  1. Faculty of Engineering and Information Technology, University of Technology Sydney, Broadway, PO Box 123, 2007, Sydney, NSW, Australia

    Longbing Cao

  2. Instituto de Informática, Universidade Federal do Rio Grande do Sul (UFRGS), Caixa Postal 15064, 91.501-970, Porto Alegre, RS, Brazil

    Ana L. C. Bazzan

  3. Electrical and Computer Engineering Department, Aristotle University of Thessaloniki, 54124, Thessaloniki, Greece

    Andreas L. Symeonidis

  4. St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences, 39, 14th Liniya, 199178, St. Petersburg, Russia

    Vladimir I. Gorodetsky

  5. Department of Knowledge Engineering, Maastricht University, P.O. Box 616, 6200, Maastricht, MD, The Netherlands

    Gerhard Weiss

  6. Department of Computer Science, University of Illinois at Chicago, 851 S. Morgan Street, Room 1138 SEO, 60607, Chicago, IL, USA

    Philip S. Yu

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© 2012 Springer-Verlag Berlin Heidelberg

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Kularbphettong, K., Meesad, P., Clayton, G. (2012). A Hybrid System Based on Multi-Agent Systems in Case of e-WeddingThailand. In: Cao, L., Bazzan, A.L.C., Symeonidis, A.L., Gorodetsky, V.I., Weiss, G., Yu, P.S. (eds) Agents and Data Mining Interaction. ADMI 2011. Lecture Notes in Computer Science(), vol 7103. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27609-5_22

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  • DOI: https://doi.org/10.1007/978-3-642-27609-5_22

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-27608-8

  • Online ISBN: 978-3-642-27609-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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