ABSTRACT
Today, there are several markets in cyber space where companies trade electronically due to the development of Information Technology. On the other hand, the most important thing in trades is negotiation. So, in order to support current business practices as well as new ones on the Internet, electronic commerce systems need an ability to negotiate. In this paper, proposed is a method by which a seller can be supported by an agent which plays a role in negotiation process among small and medium companies, especially injection mold manufacturer. If the manufacturing capacity cannot afford to produce all orders, the manufacturer may want to extend due dates and the buyers may want to discount prices. The negotiation agent discussed in this paper cooperates with the schedule agent to get due-date information, and performs a role in one (seller)-to-many (buyer) negotiation processes.
- Beam, C. and Segev, A., "Automated Negotiations: A Survey of the State of the Art", CMIT Working Paper 97-WP-1022, May, 1997.]]Google Scholar
- Beam, C., Segwev, A., and Shanthikumar, J. g., "Electronic Negotiation Through Internet-based Auction", CITM Working Paper 96-WP-1019, http://haas.berkely.edu/~citm/wp-1019-summary.html.]]Google Scholar
- Benyoucef, M. and Rudolf Keller, K., "A Conceptual Architecture for a Combined Negotiation Support System", http://www.iro.umontreal.ca/~benyouce/papers/dexa2000.pdf.]]Google Scholar
- Carmel, E., Herniter, B. C., and Nunamaker J. F. Jr, "Labor management contract negotiation in an electronic meeting room: A case study", Group Decision and Negotiation, Vol. 2, pp. 27--60, 1993.]]Google ScholarCross Ref
- Chavez, A., and Maes, P., "Kasbah: An Agent Marketplace for Buying and Selling Goods," Proceedings of the First International Conference on the Practical Application of Intelligent Agents and Multi-Agent Technology (PAAM'96), London, UK, Apr. 1996.]]Google Scholar
- Cheng, J. and Wellman, M., "The WALRAS algorithm: A convergent distributed implementation of general equilibrium outcomes", Computational Economics, Vol.12, pp. 1--24, 1998.]] Google ScholarDigital Library
- CHoi, H. R., Kim, H. S., Park, Y. J., Park, B. J., "An Agent for Selecting Optimal Order Set in EC Marketplace," Proceedings of PACIS 2001, pp. 490--508, 2001.6.]]Google Scholar
- Cohen P., Cheyer A., Wang M., and Baeg, S., "An Open Agent Architecture", Working Notes of AAAI Spring Symposium on Software Agents, 1994.]]Google Scholar
- Dajun, Z. and Sycara, K., "Bayesian Learning in Negotiation", Working Notes of the AAAI 1996 Stanford Spring Symposium Series on Adaptation, Co-evolution, and Learning in Multiagent Systems, also http://www.cs.cmu.edu/~zeng.]]Google Scholar
- Foroughi, A., "A Survey of the Use of Computer Support for Negotiation", Journal of Applied Business Research, pp. 121--134, Spring 1995.]]Google Scholar
- Goldberg, D. E., "Genetic Algorithms in Search, Optimization & Machine Learnung", Addison-Wesley, 1989.]] Google ScholarDigital Library
- Guttman, R. H. and Maes, P., "Agent-mediated Integrative Negotiation for Retail Electronic Commerce", Workshop on Agent Mediated Electronic Trading (AMET '98), http://www.iiia.csic.es/amet98/AMETprov.html. 1998.]] Google ScholarDigital Library
- Holland, J. H., "Adaptation in Natural and Artificial Systems", Ann Arbor: The University of Michigan Press, 1975.]] Google ScholarDigital Library
- Jelassi, M. T. and Abbas, F., "Negotiation Support Systems: An Overview of Design Issues and Existing Software", Decision Support Systems, June 1989.]]Google Scholar
- Manne, A. S., "On the Job-Shop Scheduling Problem", Operations Research 8(2), 1960.]]Google Scholar
- Muth, J. F. and Thompson, G. L., "Industrial Scheduling", Prentice-Hall, Englewood Cliffs, N. J, 1963.]]Google Scholar
- Nunamaker, J. F. Jr., Dennis, A. R., Valacich, J. S. and Vogel, D. R., "Information Technology for Negotiating Groups: Generating Options for Mutual Gain", Management Science, October 1991.]]Google Scholar
- Nunes, P., Wilson, D., and Kambil, A., "The All-in-One Market", Harvard Business Review, pp. 19--20, May-June 2000.]]Google Scholar
- Oliver, J. R., "A Machine Learning Approach to Automated Negotiation and prospects for Electronic Commerce", http://opim.wharton.upenn.edu/~oliver27/pape rs/jims.ps, 1996.]]Google Scholar
- OMG "Negotiation Facility", http://www.oms.net/ecdtf.html.]]Google Scholar
- Pattie, M., "Modeling Adaptive Autonomous Agents", Artificial Life Journal, edited by C. Langton, MIT Press, Vol.1, No.1&2, pp. 135--162, 1994.]]Google Scholar
- Paula, E. G., Ramos, F. S. and Ramalho, G. L., "Bilateral Negotiation Model for Agent-Mediated Electronic Commerce," Agent-Mediated Electronic Commerce III, Springer-Verlag, 2001.]] Google ScholarDigital Library
- Rosenschein, J. and Zlotkin, G., "Rules of Encounter: Designing Conventions for Automated Negotiation among Computers", MIT Press, 1994.]] Google ScholarDigital Library
- Russ, C. and Vierke, G., "The Matrix Aution: A Mechanism for the Market-Based Coordination of Enterprise Networks", German Research Center for Artificial Intelligence(DFKI GmbH), Research Report RR-99-04, 1999.]]Google Scholar
- Sandholm, T., "eMediator: A Next Generation Electronic Commerce Server", Computational Intellegence, Vol. 18, No. 4, pp. 656--676, 2002.]]Google ScholarCross Ref
- Sandholm, T., "An algorithm for optimal winner determination in combinatorial auctions", In IJCAI, pp.542--547, Stockholm, Sweden, 1999.]] Google ScholarDigital Library
- Sandholm, T. and Victor, L., "Issues in Automated Negotiation and Electronic Commerce: Extending the Contract Net Framework, First International Conference on Multiagent Systems", San Francisco, 1995.]]Google Scholar
- Sycara, K. and Dajun, Z., "Coordination of Multiple Intelligent Software Agents", the International Journal of Cooperative Information Systems, 1996. Also at http://www.cs.cmu.edu/~zeng/publications/ijcispleiades.ps.gz.]]Google Scholar
- Strobel, M., "Effects of electronic markets on negotiation processes -evaluating protocol suitability", Tech. Report 93237, IBM, Zurich Research Laboratory, Switzerland, 1999.]]Google Scholar
- Su, S. Y., Huang, C. and Hammer, J., "A replicable web based negotiation server for e-commerce", In 33rd International Conference on System Sciences, Hawaii, 2000.]] Google ScholarDigital Library
- Tsvetovatyy, M., Gini, M., Mobasher, B. and Wieckowski, Z., "MAGMA: An agent-based virtual market for electronic commerce." Journal of Applied Artificial Intelligence, Vol. 11, No. 6, pp. 501--524, 1997]]Google ScholarCross Ref
- Yuan, Y., J. B. Rose and N. Archer, "A Web-Based Negotiation Support System", Electronic Market, Vol. 8, No. 3, pp. 13--17, 1998.]]Google ScholarCross Ref
- Wagner, H. M., "An Integer Linear-Programming Model for Machine Scheduling", Nav. Res. Log. Quart. 6(2), 1959.]]Google Scholar
Index Terms
- Automated negotiation for order transaction of injection mold manufacturer
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