Abstract
The potential size of the electronic business market offers great incentives to trading agents that can bargain, bid in auctions and trade in exchanges. Much of business negotiation is multi-issue. A generic ‘information-based’ agent is proposed for multi-issue negotiation. Successful negotiation depends on shrewd strategies driven by the right information. This agent has machinery to value information and to manage its integrity. A multi-issue, many-to-many clearing house, and an agent to trade in it, are proposed.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Friedman, D.: The double auction market institution: A survey. In Friedman, D., Rust, J., eds.: The Double Auction Market: Institutions, Theories and Evidence. Addison-Wesley, Reading, MA (1993) 3–26
Kambil, A., Heck, E.V.: Making Markets: How Firms Can Design and Profit from Online Auctions and Exchanges. Harvard Business School Press (2002)
Forsythe, R., Rietz, T., Ross, T.: Wishes, expectations and actions: A survey on price formation in election stock markets. The Journal of Economic Behavior and Organization 39 (1999) 83–110
Varian, H.: Effect of the internet on financial markets. (1998)
Faratin, P., Sierra, C., Jennings, N.: Using similarity criteria to make issue trade-offs in automated negotiation. Journal of Artificial Intelligence 142 (2003) 205–237
Fatima, S., Wooldridge, M., Jennings, N.R.: An agenda-based framework for multi-issue negotiation. Artificial Intelligence 152 (2004) 1–45
Debenham, J.: Auctions and bidding with information. In Faratin, P., Rodriguez-Aguilar, J., eds.: Proceedings Agent-Mediated Electronic Commerce VI: AMEC. (2004) 15–28
Debenham, J.: Bargaining with information. In Jennings, N., Sierra, C., Sonenberg, L., Tambe, M., eds.: Proceedings Third International Conference on Autonomous Agents and Multi Agent Systems AAMAS-2004, ACM (2004) 664–671
MacKay, D.: Information Theory, Inference and Learning Algorithms. Cambridge University Press (2003)
Jaynes, E.: Probability Theory — The Logic of Science. Cambridge University Press (2003)
Smith, T., Sandholm, T., Simmons, R.: Constructing and clearing combinatorial exchanges using preference elicitation. In: proceedings AAAI Workshop on Preferences in AI and CP: Symbolic Approaches, AAAI (2002) 87–93
Rustichini, A., Satterthwaite, M., Williams, S.: Convergence to efficiency in a simple market with incomplete information. Econometrica 62 (1994) 1041–1063
Preston McAfee, R.: A dominant strategy double auction. Journal of Economic Theory 56 (1992) 266–293
Chatfield, C.: The Analysis of Time Series. 6th edn. Chapman and Hall (2003)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag London Limited
About this paper
Cite this paper
Debenham, J. (2006). A Trading Agent for a Multi-Issue Clearing House. In: Bramer, M., Coenen, F., Allen, T. (eds) Research and Development in Intelligent Systems XXII. SGAI 2005. Springer, London. https://doi.org/10.1007/978-1-84628-226-3_14
Download citation
DOI: https://doi.org/10.1007/978-1-84628-226-3_14
Publisher Name: Springer, London
Print ISBN: 978-1-84628-225-6
Online ISBN: 978-1-84628-226-3
eBook Packages: Computer ScienceComputer Science (R0)