Abstract
This paper proposes a new e-procurement model for a large number of buyers and sellers interacting via the Internet. The goal of e-procurement is to create a satisfactory match between buyers’ demand and sellers’ supply. From our real-world experience, we view e-procurement as a process of negotiation to increase the matching quality of two corresponding specifications: one for buyers’ demand and another for sellers’ supply. To model scalable e-procurement, we propose a co-adaptive matchmaking mechanism using mutual relevance feedback. In order to understand the nature of the mechanism, we have developed two types of software agents, called e-buyers and e-sellers, to simulate human buyers and sellers. Multiagent simulation results show that the matching quality is incrementally improved if agents adaptively change their specifications. A realistic example is also provided to discuss how to extend our simulation to real-world e-procurement infrastructure.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Baeza-Yates, R., Ribeiro-Neto, B.: Modern Information Retrieval. Addison-Wesley, Reading (1999)
Bayardo, R., et al.: Infosleuth: Agent-based Semantic Integration of Information in Open and Dynamic Environments. In: ACM SIGMOD Conf. on Management of Data, pp. 195–206 (1997)
Bichler, M., Kalagnanam, J.: Bidding Languages and Winner Determination in Multi-Attribute Auctions. IBM Research Report, RC22478, W0206-018 (2002)
Bichler, M.: An Experimental Analysis of Multi-attribute Auctions. Decision Support Systems 29(3), 249–268 (2000)
Che, Y.K.: Design Competition Through Multidimensional Auctions. RAND Journal of Economics 24(4), 668–680 (1993)
David, E., Azoulay-Schwartz, R., Kraus, S.: Protocols and strategies for automated multiattribute auctions. In: Proceedings of the first international joint conference on Autonomous agents and multiagent systems (AAMAS 2002), pp. 77–85 (2002)
Faratin, P., Sierra, C., Jennings, N.R.: Using Similarity Criteria to Make Issue Trade-offs in Automated Negotiations. Artificial Intelligence 142(2), 205–237 (2002)
Forker, L.B., Janson, R.L.: Ethical Practices in Purchasing. Journal of Purchasing and Materials Management 26(1), 19–26 (1990)
Guttman, R.H., Maes, P.: Agent-Mediated Integrative Negotiation for Retail Electronic Commerce. In: Proceedings of the Workshop on Agent Mediated Electronic Trading (1998)
He, M., Jennings, N.R., Leung, H.F.: On Agent-Mediated Electronic Commerce. IEEE Transactions on knowledge and data engineering 15(4), 985–1003 (2003)
Jennings, N.R., Norman, T.J., Faratin, P., O’Brian, P., Odgers, B.: Autonomous agents for business process management. Journal of Applied Artificial Intelligence 14(2), 145–189 (2000)
Kuokka, D., Harada, L.: Supporting Information Retrieval via Matchmaking. In: Working Notes 1995 AAAI Spring Symposium on Information Gathering in Heterogeneous, Distributed Environments, Technical Report SS-95-08. AAAI Press, Menlo Park (1995)
Laseter, T.: Balanced Sourcing: Cooperation and Competition in Supplier Relationships. Jossey-Bass Pulishers, San Francisco (1995)
Landeros, R., Reck, R., Plank, E.: Maintaining Buyer-Supplier Partnership. International Journal of Purchasing and Materials Management 31(3), 3–11 (1995)
Salton, G.: The SMART Retrieval System – Experiments in Automatic Document Processing. Prentice-Hall, Englewood Cliffs (1971)
Samtani, G.: B2B Integration – A Practical Guide to Collaborative E-commerce. Imperial College Press, London (2002)
Sycara, K., Widoff, S., Klusch, M., Lu, J.: LARKS: Dynamic Matchmaking Among Heterogeneous Software Agents in Cyberspace. Autonomous Agents and Multi-Agent Systems 5, 173–203 (2002)
Tewari, G., Maes, P.: Design and Implementation of an Agent-Based Intermediary Infrastructure for Electronic Markets. In: Proceedings of the 2nd ACM conference on Electronic commerce, pp. 86–94 (2000)
Thompson, K.N.: Scaling Evaluative Criteria and Supplier Performance Estimates in Weighted Point Prepurchase Decision Models. International Journal of Purchasing and Materials Management 27(1), 27–36 (1991)
Tully, S.: Purchasing’s New Muscle. In: Fortune, February 20, pp. 75–83 (1995)
Veit, D., Müller, J.P., Weinhardt, C.: Multidimensional Matchmaking for Electronic Markets. Journal of Applied Artificial Intelligence 16(9-10), 853–869 (2002)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Hishiyama, R., Ishida, T. (2005). Modeling e-Procurement as Co-adaptive Matchmaking with Mutual Relevance Feedback. In: Barley, M.W., Kasabov, N. (eds) Intelligent Agents and Multi-Agent Systems. PRIMA 2004. Lecture Notes in Computer Science(), vol 3371. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-32128-6_6
Download citation
DOI: https://doi.org/10.1007/978-3-540-32128-6_6
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-25340-2
Online ISBN: 978-3-540-32128-6
eBook Packages: Computer ScienceComputer Science (R0)