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Differential-Revelation VCG Mechanisms for Combinatorial Auctions

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Agent-Mediated Electronic Commerce IV. Designing Mechanisms and Systems (AMEC 2002)

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Abstract

Combinatorial auctions, where bidders can submit bids on bundles of items, are economically efficient mechanisms for selling items to bidders, and are attractive when the bidders’ valuations on bundles exhibit complementarity and/or substitutability. Determining the winners in such auctions is a complex optimization problem that has received considerable research attention during the last 4 years. An equally important problem, which has only recently started to receive attention, is that of eliciting the bidders’ preferences so that they do not have to bid on all combinations [6],[8]. Preference elicitation has been shown to be remarkably effective in reducing revelation [13]. In this paper we introduce a new family of preference elicitation algorithms. The algorithms in this family do not rely on absolute bids, but rather on relative (differential) value information. This holds the promise to reduce the revelation of the bidders’ valuations even further. We develop a differential-elicitation algorithm that finds the efficient allocation of items to the bidders, and as a side-effect, theVickrey payments (which make truthful bidding incentive compatible). We also present two auction mechanisms that use differential elicitation: the difference mechanism and the difference increment mechanism.

Dr. Sandholm’s work was funded by, and conducted at, CombineNet, Inc., 311 S. Craig St., Pittsburgh, PA 15213.

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References

  1. Arne Andersson, Mattias Tenhunen, and Fredrik Ygge. Integer programming for combinatorial auction winner determination. In Proceedings of the Fourth International Conference on Multi-Agent Systems (ICMAS), pages 39–46, Boston, MA, 2000.

    Google Scholar 

  2. Lawrence MAusubel and Paul Milgrom. Ascending auction with package bidding. Technical report, University of Maryland, Department of Economics, 2002. Version April 25.

    Google Scholar 

  3. S. Bikhchandani and J. M. Ostroy. The package assignment model. UCLA Working Paper Series, mimeo, 2001.

    Google Scholar 

  4. Sushil Bikhchandani, Sven de Vries, James Schummer, and Rakesh V. Vohra. Linear programming and Vickrey auctions, 2001. Draft.

    Google Scholar 

  5. E H Clarke. Multipart pricing of public goods. Public Choice, 11:17–33, 1971.

    Article  Google Scholar 

  6. Wolfram Conen and Tuomas Sandholm. Preference elicitation in combinatorial auctions: Extended abstract. In Proceedings of the ACMConference on Electronic Commerce (ACM-EC), pages 256–259, Tampa, FL, October 2001. A more detailed description of the algorithmic aspects appeared in the IJCAI-2001Workshop on Economic Agents, Models, and Mechanisms, pp. 71-80.

    Google Scholar 

  7. Wolfram Conen and Tuomas Sandholm. Coherent pricing of efficient allocations in combinatorial economies. In AAAI-02 workshop on Game-Theoretic and Decision-Theoretic Agents, Edmonton, Canada, 2002.

    Google Scholar 

  8. Wolfram Conen and Tuomas Sandholm. Partial-revelation VCG mechanism for combinatorial auctions. In Proceedings of the National Conference on Artificial Intelligence (AAAI), Edmonton, Canada, 2002.

    Google Scholar 

  9. Yuzo Fujishima, Kevin Leyton-Brown, and Yoav Shoham. Taming the computational complexity of combinatorial auctions: Optimal and approximate approaches. In Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence (IJCAI), pages 548–553, Stockholm, Sweden, August 1999.

    Google Scholar 

  10. Theodore Groves. Incentives in teams. Econometrica, 41:617–631, 1973.

    Article  MATH  MathSciNet  Google Scholar 

  11. F. Gul and E. Stacchetti. Walrasian equilibrium with gross substitutes. Journal of Economic Theory, 87:95–124, 1999.

    Article  MATH  MathSciNet  Google Scholar 

  12. Holger Hoos and Craig Boutilier. Bidding languages for combinatorial auctions. In Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence (IJCAI), pages 1211–1217, Seattle,WA, 2001.

    Google Scholar 

  13. Benoit Hudson and Tuomas Sandholm. Agent-Mediated Electronic Commerce IV, chapter Effectiveness of Preference Elicitation in Combinatorial Auctions. Number 2531 in Lecture notes in computer science (lncs). Springer, 2002. Available in this volume. Extended version: Carnegie Mellon University, Computer Science Department, CMU-CS-02-124, March. Also: Stanford Institute for Theoretical Economics workshop (SITE-02).

    Book  Google Scholar 

  14. Kate Larson and Tuomas Sandholm. Costly valuation computation in auctions. In Theoretical Aspects of Rationality and Knowledge (TARK VIII), pages 169–182, Sienna, Italy, July 2001.

    Google Scholar 

  15. Noam Nisan. Bidding and allocation in combinatorial auctions. In Proceedings of the ACM Conference on Electronic Commerce (ACM-EC), pages 1–12, Minneapolis, MN, 2000.

    Google Scholar 

  16. Noam Nisan and Ilya Segal. The communication complexity of efficient allocation problems, 2002. Draft. Second version March 5th.

    Google Scholar 

  17. David C Parkes. Optimal auction design for agents with hard valuation problems. In Agent-Mediated Electronic CommerceWorkshop at the International Joint Conference on Artificial Intelligence, Stockholm, Sweden, 1999.

    Google Scholar 

  18. David C Parkes and Lyle Ungar. Iterative combinatorial auctions: Theory and practice. In AAAI Proc., pages 74–81, Austin, TX, August 2000.

    Google Scholar 

  19. David C Parkes and Lyle Ungar. Preventing strategic manipulation in iterative auctions: Proxy-agents and price-adjustment. In AAAI Proc., pages 82–89, Austin, TX, August 2000.

    Google Scholar 

  20. Michael H Rothkopf, Aleksandar Pekeč, and Ronald M Harstad. Computationally manageable combinatorial auctions. Management Science, 44(8):1131–1147, 1998.

    Article  MATH  Google Scholar 

  21. Tuomas Sandholm. An implementation of the contract net protocol based on marginal cost calculations. In Proceedings of the National Conference on Artificial Intelligence (AAAI), pages 256–262, Washington, D.C., July 1993.

    Google Scholar 

  22. Tuomas Sandholm. eMediator:Anext generation electronic commerce server. In Proceedings of the Fourth International Conference on Autonomous Agents (AGENTS), pages 73–96, Barcelona, Spain, June 2000. Early version appeared in the AAAI-99 Workshop on AI in Electronic Commerce, Orlando, FL, pp. 46-55, July 1999, and as a Washington University, St. Louis, Dept. of Computer Science technical report WU-CS-99-02, Jan.1999.

    Google Scholar 

  23. Tuomas Sandholm. Issues in computational Vickrey auctions. International Journal of Electronic Commerce, 4(3):107–129, 2000. Special Issue on Applying Intelligent Agents for Electronic Commerce.Ashort, early version appeared at the Second International Conference on Multi-Agent Systems (ICMAS), pages 299-306, 1996.

    Google Scholar 

  24. Tuomas Sandholm. Algorithm for optimal winner determination in combinatorial auctions. Artificial Intelligence, 135:1–54, January 2002. First appeared as an invited talk at the First International Conference on Information and Computation Economies, Charleston, SC, Oct. 25-28, 1998. Extended version appeared as Washington Univ., Dept. of Computer Science, tech report WUCS-99-01, January 28th, 1999. Conference version appeared at the International Joint Conference on Artificial Intelligence (IJCAI), pp. 542-547, Stockholm, Sweden, 1999.

    Google Scholar 

  25. Tuomas Sandholm and Subhash Suri. Improved algorithms for optimal winner determination in combinatorial auctions and generalizations. In Proceedings of the National Conference on Artificial Intelligence (AAAI), pages 90–97, Austin, TX, 2000. Extended version with proofs at http://www.cs.cmu.edu/~sandholm/bidbranching.aaai00.extended.ps.

  26. Tuomas Sandholm, Subhash Suri, Andrew Gilpin, and David Levine. CABOB:A fast optimal algorithm for combinatorial auctions. In Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence (IJCAI), pages 1102–1108, Seattle,WA, 2001.

    Google Scholar 

  27. W Vickrey. Counterspeculation, auctions, and competitive sealed tenders. Journal of Finance, 16:8–37, 1961.

    Article  Google Scholar 

  28. Peter R Wurman and Michael P Wellman. AkBA:A progressive, anonymous-price combinatorial auction. In Proceedings of the ACM Conference on Electronic Commerce (ACM-EC), pages 21–29, Minneapolis, MN, October 2000.

    Google Scholar 

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Conen, W., Sandholm, T. (2002). Differential-Revelation VCG Mechanisms for Combinatorial Auctions. In: Padget, J., Shehory, O., Parkes, D., Sadeh, N., Walsh, W.E. (eds) Agent-Mediated Electronic Commerce IV. Designing Mechanisms and Systems. AMEC 2002. Lecture Notes in Computer Science(), vol 2531. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36378-5_3

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  • DOI: https://doi.org/10.1007/3-540-36378-5_3

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