Abstract
A market is in equilibrium if there is no opportunity for arbitrage, ie: risk-free, or low-risk, profit. The majority of real markets are not in equilibrium. A project is investigating the market evolutionary process in a particular electronic market that has been constructed in an on-going collaborative research project between a university and a software house. The way in which actors (buyers, sellers and others) use the market will be influenced by the information available to them. In this experiment, data mining and filtering techniques are used to distil both individual signals drawn from the markets and signals from the Internet into meaningful advice for the actors. The goal of this experiment is first to learn how actors will use the advice available to them to identify arbitrage opportunities, and second how the market will evolve through entrepreneurial intervention. In this electronic market a multiagent process management system is used to manage all market transactions including those that drive the market evolutionary process.
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References
Israel M. Kirzner “Entrepreneurial Discovery and the Competitive Market Process: An Austrian Approach” Journal of Economic Literature XXXV (March) 1997 60–85.
Bjork, Tomas. Arbitrage Theory in Continuous Time. Oxford University Press (1999)
Kumar, M. & Feldman, S.I. Business Negotiations on the Internet. Proceedings INET’98 Internet Summit, Geneva, July 21–24, 1998.
Bichler, M. The Future of E-Commerce: Multi-Dimensional Market Mechanisms. Cambridge University Press (2001).
Milgrom, P. Auction Theory for Privatization. Cambridge Univ Press (2001).
Bulow, J. & Klemperer, P. Auctions Versus Negotiations. American Economic Review, 1996.
R. Guttman, A. Moukas, and P. Maes. Agent-mediated Electronic Commerce: A Survey. Knowledge Engineering Review, June 1998.
Moshe Tennenholtz. Electronic Commerce: From Economic and Game-Theoretic Models to Working Protocols. Invited paper. Proceedings Sixteenth International Joint Conference on Artificial Intelligence, IJCAI’99, Stockholm, Sweden.
Sandholm, T. Agents in Electronic Commerce: Component Technologies for Automated Negotiation and Coalition Formation. Autonomous Agents and Multi-Agent Systems, 3(1), 73–96.
Ströbel, M. Design of Roles and Protocols for Electronic Negotiations. Electronic Commerce Research Journal, Special Issue on Market Design 2001.
Peyman Faratin. Automated Service Negotiation Between Autonomous Computational Agents. PhD dissertation, University of London (Dec 2000).
R. Wise & D. Morrison. Beyond the Exchange; The Future of B2B. Harvard Business review Nov–Dec 2000, pp86–96.
Kaplan, Steven and Sawhney, Mohanbir. E-Hubs: The New B2B Marketplace. Harvard Business Review 78 May–June 2000 97–103.
Neeman, Z. & Vulkan, N. Markets Versus Negotiations. The Hebrew University of Jerusalem Discussion Paper 239. (February 2001).
B. Kovalerchuk & E. Vityaev. Data Mining in Finance: Advances in Relational and Hybrid Methods. Kluwer, 2000.
J. Han, L.V.S. Lakshmanan & R.T. Ng. Constraint-based multidimensional data mining. IEEE Computer, 8, 46–50, 1999.
Han, J. & Kamber, M. Data Mining: Concepts and Techniques. Morgan Kaufmann (2000).
Chen, Z. Computational Intelligence for Decision Support. CRC Press, Boca Raton, 2000.
Feldman, S. Technology Trends and Drivers and a Vision of the Future of e-business. Proceedings 4th International Enterprise Distributed Object Computing Conference, September 25–28, 2000, Makuhari, Japan.
Fischer, L. (Ed). Workflow Handbook 2001. Future Strategies, 2000.
Debenham, J.K.. Supporting knowledge-driven processes in a multiagent process management system. Proceedings Twentieth International Conference on Knowledge Based Systems and Applied Artificial Intelligence, ES’2000: Research and Development in Intelligent Systems XVII, Cambridge UK, December 2000, pp273–286.
Jain, A.K., Aparicio, M. and Singh, M.P. “Agents for Process Coherence in Virtual Enterprises” in Communications of the ACM, Volume 42, No 3, March 1999, pp62–69.
Jennings, N.R., Faratin, P., Norman, T.J., O’Brien, P. & Odgers, B. Autonomous Agents for Business Process Management. Int. Journal of Applied Artificial Intelligence 14 (2) 145–189, 2000.
Robert Skinstad, R. “Business process integration through XML”. In proceedings XML Europe 2000, Paris, 12–16 June 2000.
Guarino N., Masolo C., and Vetere G., OntoSeek: Content-Based Access to the Web, IEEE Intelligent Systems 14(3), May/June 1999, pp. 70–80
Uschold, M. and Gruninger, M.: 1996, Ontologies: principles, methods and applications. Knowledge Engineering Review, 11(2), 1996.
Müller, J.P. “The Design of Intelligent Agents” Springer-Verlag, 1996.
Rao, A.S. and Georgeff, M.P. “BDI Agents: From Theory to Practice”, in proceedings First International Conference on Multi-Agent Systems (ICMAS-95), San Francisco, USA, pp 312–319.
Finin, F. Labrou, Y., and Mayfield, J. “KQML as an agent communication language.” In Jeff Bradshaw (Ed.) Software Agents. MIT Press (1997).
Reverre, S. “The Complete Arbitrage Deskbook.” McGraw-Hill, 2001.
Hull, JC. “Options, Futures, and Other Derivatives.” Prentice-Hall, 2000.
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Debenham, J. (2002). Identifying Arbitrage Opportunities in e-Markets. In: Bauknecht, K., Tjoa, A.M., Quirchmayr, G. (eds) E-Commerce and Web Technologies. EC-Web 2002. Lecture Notes in Computer Science, vol 2455. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45705-4_8
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DOI: https://doi.org/10.1007/3-540-45705-4_8
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