By Peyman Faratin, Juan A. Rodríguez-Aguilar
This ebook constitutes the completely refereed post-proceedings of the sixth foreign Workshop on Agent-Mediated digital trade, AMEC 2006, held in ny, new york, united states in July 2004 as a part of AAMAS 2004.
The 15 revised complete papers provided have been rigorously chosen from 39 submissions in the course of rounds of reviewing and revision. The papers collect novel paintings from such varied fields as computing device technology, Operations study, synthetic Intelligence and allotted platforms that concentrate on modeling, implementation and overview of computational buying and selling establishment and/or agent techniques over a various set of products. they're prepared in topical sections on mechanism layout, buying and selling brokers, and instruments.
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Extra resources for Agent-Mediated Electronic Commerce VI: Theories for and Engineering of Distributed Mechanisms and Systems, AAMAS 2004 Workshop, Amec 2004, New York,
In the VCG mechanism the agent knows a priori that it has a dominant strategy, and thus this computational problem does not arise. In our case, an agent has an ex-post Nash strategy. Thus if all the agents are behaving rationally, there is no computational load on the agent in this particular case. e. some agent is not rational) then the agents will have to search through their space of strategies again to find their best-response. Thus, we can observe that there is no additional computational load on the agents when compared with a standard VCG mechanism.
Vickrey: “Counterspeculation, Auctions, and Competitive Sealed Tenders,” Journal of Finance 16, pp. 8-37, 1961 An Options-Based Method to Solve the Composability Problem in Sequential Auctions Adam I. Juda and David C. edu Abstract. Current auctions often expose bidding agents to two difficult, yet common, problems. First, bidding agents often have the opportunity to participate in successive auctions selling the same good, with no dominant bidding strategy in any single auction. Second, bidding agents often need to acquire a bundle of goods by bidding in multiple auctions, again with no dominant bidding strategy in any single auction.
In ACM Conference on Electronic Commerce, pages 112, 2000. 11. D. Parkes. Iterative Combinatorial Auctions:Achieving Economic and Computational Efficiency. PhD thesis, University of Pennsylvania, May 2001. 12. M. H. Rothkopf, A. Pekec, and R. M. Harstad. Computationally manageable combinatorial auctions. Management Science, 44:11311147, 1998. 13. T. Sandholm. Making markets and democracy work: A story of incentives and computing. In Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI), pages 16491671, 2003.
Agent-Mediated Electronic Commerce VI: Theories for and Engineering of Distributed Mechanisms and Systems, AAMAS 2004 Workshop, Amec 2004, New York, by Peyman Faratin, Juan A. Rodríguez-Aguilar