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Winner determination for mixed multi-unit combinatorial auctions via petri nets

Published: 14 May 2007 Publication History

Abstract

Mixed Multi-Unit Combinatorial Auctions (MMUCAs) allow agents to bid for bundles of goods to buy, goods to sell, and transformations of goods. In particular, MMUCAs offer a high potential to be employed for the automated assembly of supply chains of agents offering goods and services, and in general MMUCAs extend and generalise several types of combinatorial auctions. Here we provide a formalism, based on an extension of Petri Nets, with which MMUCAs, and therefore all auction types subsumed by MMUCAs --- and in particular combinatorial auctions for supply chain formation (SCF)---, can be formally analysed. As a second direct benefit, consequence of the provided mapping to Petri Nets, we manage to dramatically reduce the number of decision variables involved in the optimisation problem posed by MMUCAs from quadratic to linear for a wide class of MMUCA Winner Determination Problems (WDPs). Hence, we also make headway in the practical application of MMUCAs, and in particular to SCF.

References

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J. Cerquides, U. Endriss, A. Giovannucci, and J. A. Rodriguez-Aguilar. Bidding languages and winner determination for mixed multi-unit combinatorial auctions. In Proc. of the 20th Intl. Joint Conferences on Artif. Intelligence, pages 1221--1226, 2007.
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P. Cramton, Y. Shoham, and R. Steinberg, editors. Combinatorial Auctions. MIT Press, 2006.
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T. Murata. Petri nets: Properties, analysis and applications. In IEEE, volume 77, pages 541--580, 1989.
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N. Nisan. Bidding languages for combinatorial auctions. In P. Cramton et al., editors, Combinatorial Auctions. MIT Press, 2006.
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W. E. Walsh, M. P. Wellman, and F. Ygge. Combinatorial auctions for supple chain formation. In Proc. of the 2nd ACM Conference on Electronic Commerce, 2000.
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T. Watanabe. The legal firing sequence problem of petri nets. IEICE Transactions on Information and Systems, 3:397--406, 2000.

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  • (2021)Fair Resource Allocation Policies in Reverse Auction-Based Cloud MarketSN Computer Science10.1007/s42979-021-00907-y2:6Online publication date: 13-Oct-2021
  • (2019)Automating Forward and Reverse Supply Chains in the Context of Industry 4.0Studia Universitatis Babes-Bolyai Oeconomica10.2478/subboec-2019-000264:1(16-32)Online publication date: 27-May-2019
  • (2019)Procuring Spontaneous Session-Level Resource Guarantees for Real-Time Applications: An Auction ApproachIEEE Journal on Selected Areas in Communications10.1109/JSAC.2019.291648737:7(1534-1548)Online publication date: Jul-2019
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cover image ACM Other conferences
AAMAS '07: Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
May 2007
1585 pages
ISBN:9788190426275
DOI:10.1145/1329125
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: 14 May 2007

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Author Tags

  1. combinatorial auctions
  2. integer programming
  3. petri nets
  4. supply chain formation

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Overall Acceptance Rate 1,155 of 5,036 submissions, 23%

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Cited By

View all
  • (2021)Fair Resource Allocation Policies in Reverse Auction-Based Cloud MarketSN Computer Science10.1007/s42979-021-00907-y2:6Online publication date: 13-Oct-2021
  • (2019)Automating Forward and Reverse Supply Chains in the Context of Industry 4.0Studia Universitatis Babes-Bolyai Oeconomica10.2478/subboec-2019-000264:1(16-32)Online publication date: 27-May-2019
  • (2019)Procuring Spontaneous Session-Level Resource Guarantees for Real-Time Applications: An Auction ApproachIEEE Journal on Selected Areas in Communications10.1109/JSAC.2019.291648737:7(1534-1548)Online publication date: Jul-2019
  • (2018)Comparative Analysis of Sequential and Combinatorial Auctions Based on Petri NetsIEEE Access10.1109/ACCESS.2018.28405396(38071-38085)Online publication date: 2018
  • (2017)Optimizing Service Level Agreements in Peer-to-Peer Supply Chain Model for Complex Projects ManagementInformatics in Economy10.1007/978-3-319-73459-0_2(23-37)Online publication date: 28-Dec-2017
  • (2017)An intelligent agent‐based method for task allocation in competitive cloud environmentsConcurrency and Computation: Practice and Experience10.1002/cpe.417830:3Online publication date: 20-Jun-2017
  • (2013)The complexity of mixed multi-unit combinatorial auctionsArtificial Intelligence10.1016/j.artint.2012.12.002196(1-25)Online publication date: 1-Mar-2013
  • (2013)Proof systems and transformation gamesAnnals of Mathematics and Artificial Intelligence10.1007/s10472-012-9323-967:1(1-30)Online publication date: 1-Jan-2013
  • (2012)Exclusivity-based allocation of knowledgeProceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems - Volume 310.5555/2343896.2343946(1249-1250)Online publication date: 4-Jun-2012
  • (2012)DECENTRALIZED SUPPLY CHAIN FORMATION USING MAX‐SUM LOOPY BELIEF PROPAGATIONComputational Intelligence10.1111/j.1467-8640.2012.00446.x29:2(281-309)Online publication date: 4-Jul-2012
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