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Winner Determination Algorithms for Electronic Auctions: A Framework Design

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2455))

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Abstract

During the past few years, auctions have become popular in conducting trade negotiations on the Internet. The design of new auctions and other negotiation protocols has become an important topic for both, industry and academia. Traditional auction mechanisms allow price-only negotiations for which the winner determination is a computationally simple task. However, the need for new auction mechanisms that allow complex bids such as bundle bids and multi-attribute bids has been raised in many situations. The winner determination in these auctions is a computationally hard problem. The computational complexity has been a significant hurdle for the widespread use of these advanced auction models. In this paper, we will outline the auction design space and classify resource allocation algorithms along multiple dimensions. Then, we will explain the design of an object framework providing an API to different types of winner determination algorithms. This framework enables application programmers to specify buyer preferences, allocation rules and supplier offerings in a declarative manner, and solve the allocation problems without having to re-implement the computationally complex algorithms.

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References

  1. E. Wolfstetter, “Auctions: An Introduction,” Journal of Economic Surveys, vol. 10, pp. 367–420, 1996.

    Article  Google Scholar 

  2. M. Bichler, J. Kalagnanam, K. K. Katircioglu, A. J. King, R. D. Lawrence, H. S. Lee, G. Y. Lin, and Y. Lu, “Applications of Flexible Pricing in Business-to-Business Electronic Commerce,” IBM Systems Journal, 2002.

    Google Scholar 

  3. M. Eso, “Evaluation algorithms in auctions,” IBM T.J. Watson Research Center, Yorktown Heights, Working Paper 2001.

    Google Scholar 

  4. A. Davenport and J. Kalagnanam, “Price Negotiations for Procurement of Direct Inputs,” IMA “Hot Topics” Workshop: Mathematics of the Internet: E-Auction and Markets, Minneapolis, USA, Workshop Report December 3–5, 2000 2000.

    Google Scholar 

  5. M. H. Rothkopf and A. Pekec, “Computationally Manageable Combinatorial Auctions,” presented at Maryland Auction Conference, Maryland, USA, 1998.

    Google Scholar 

  6. T. Sandholm, “Approaches to winner determination in combinatorial auctions,” Decision Support Systems, vol. 28, pp. 165–176, 1999.

    Article  Google Scholar 

  7. G. L. Nemhauser, A. H. G. Rinnooy Kan, and M. J. Todd, Optimization. Amsterdam: Elsevier, 1989.

    MATH  Google Scholar 

  8. M. Bichler, The Future of eMarkets: Multi-Dimensional Market Mechanisms. Cambridge, UK: Cambridge University Press, 2001.

    Google Scholar 

  9. D. L. Olson, Decision Aids for Selection Problems. New York, et al.: Springer, 1995.

    Google Scholar 

  10. M. Bichler, J. Kalagnanam, and H. S. Lee, “ECCO—Automated Evaluation of Configurable Offerings,” IBM Research, Yorktown Heights, Research Report 2002.

    Google Scholar 

  11. C. Boutilier and H. H. Hoos, “Bidding Languages for Combinatorial Auctions,” presented at 17th International Joint Conference on Artificial Intelligence (IJCAI) 2001, Washington, USA, 2001.

    Google Scholar 

  12. D. Reeves, B. Grosof, and M. Wellman, “Automated Negotiations from Declarative Contract Descriptions,” presented at AAAI-2000 Workshop on Knowledge-Based Electronic Markets, Austin, TX, 2000.

    Google Scholar 

  13. M. Bichler, J. Lee, C. H. Kim, and H. S. Lee, “Design and Implementation of an Intelligent Decision Analysis System for E-Sourcing,” presented at International Conference on Artificial Intelligence 2001, Las Vegas, NV, 2001.

    Google Scholar 

  14. V. S. Iyengar, J. Lee, and M. Campbell, “Q-Eval: Evaluating Multiple Attribute Items Using Queries,” IBM Research, New York, Research Report 2001.

    Google Scholar 

  15. J. Sametinger, Software Engineering with Reusable Components. New York: Springer, 1997.

    MATH  Google Scholar 

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Bichler, M., Kalagnanam, J., Lee, H.S., Lee, J. (2002). Winner Determination Algorithms for Electronic Auctions: A Framework Design. In: Bauknecht, K., Tjoa, A.M., Quirchmayr, G. (eds) E-Commerce and Web Technologies. EC-Web 2002. Lecture Notes in Computer Science, vol 2455. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45705-4_5

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  • DOI: https://doi.org/10.1007/3-540-45705-4_5

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-44137-3

  • Online ISBN: 978-3-540-45705-3

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