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Sequential mixed auctions

Published: 03 August 2011 Publication History

Abstract

Mixed multi-unit combinatorial auctions (MMUCAs) offer a high potential to be employed for the automated assembly of supply chains of agents. However, in order for mixed auctions to be effectively applied to supply chain formation, we must ensure computational tractability and reduce bidders' uncertainty. With this aim, we introduce Sequential Mixed Auctions (SMAs), a novel auction model conceived to help bidders collaboratively discover supply chain structures. Thus, an SMA allows bidders progressively build a supply chain structure through successive auction rounds. Moreover, the incremental nature of an SMA provides its participants with valuable information at the end of each auction round to guide their bidding. Finally, we empirically show that SMAs significantly reduce the computational effort required by MMUCA at the expense of a slight decrease in the auctioneer's revenue.

References

[1]
Jesus Cerquides, Ulle Endriss, Andrea Giovannucci, and Juan Antonio Rodriguez-Aguilar. Bidding languages and winner determination for mixed multi-unit combinatorial auctions. In IJCAI, pages 1221--1226, Hyderabad, India, 2007.
[2]
Peter Cramton, Yoav Shoham, and Richard Steinberg, editors. Combinatorial Auctions. MIT Press, 2006.
[3]
Andrea Giovannucci, M. Vinyals, J. Cerquides, and J. A. Rodriguez-Aguilar. Computationally-efficient winner determination for mixed multi-unit combinatorial auctions. In AAMAS, pages 1071--1078, Estoril, Portugal, May 12--16 2008.
[4]
Noam Nisan. Bidding Languages for Combinatorial Auctions, chapter 9. Combinatorial Auctions. MIT Press, 2006.
[5]
Juan Antonio Rodriguez-Aguilar, Boris Mikhaylov, and Jesus Cerquides. Sequential mixed auctions for supply chain formation. Technical report, IIIA, 2011. Available at http://mmuca.com/report.pdf.
[6]
Meritxell Vinyals, Andrea Giovannucci, Jesús Cerquides, Pedro Meseguer, and Juan A. Rodriguez-Aguilar. A test suite for the evaluation of mixed multi-unit combinatorial auctions. Journal of Algorithms, 63(1--3):130--150, 2008.
[7]
W.E. Walsh and M. P. Wellman. Decentralized supply chain formation: A market protocol and competitive equilibrium analysis. Journal of Artificial Intelligence Research, 19:513--567, 2003.

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  • (2011)Solving Sequential Mixed Auctions with Integer ProgrammingAdvances in Artificial Intelligence10.1007/978-3-642-25274-7_5(42-53)Online publication date: 2011

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Published In

cover image ACM Other conferences
ICEC '11: Proceedings of the 13th International Conference on Electronic Commerce
August 2011
261 pages
ISBN:9781450314282
DOI:10.1145/2378104
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 03 August 2011

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Author Tags

  1. collaboration
  2. combinatorial auctions
  3. mixed auctions
  4. sequential auctions
  5. supply chain formation

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  • Research-article

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  • AT
  • EVE

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ICEC '11
ICEC '11: 13th International Conference on Electronic Commerce
August 3 - 5, 2011
Liverpool, United Kingdom

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Overall Acceptance Rate 150 of 244 submissions, 61%

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  • (2011)Solving Sequential Mixed Auctions with Integer ProgrammingAdvances in Artificial Intelligence10.1007/978-3-642-25274-7_5(42-53)Online publication date: 2011

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