Skip to main content
Log in

Bidding strategies for realistic multi-unit sealed-bid auctions

  • Published:
Autonomous Agents and Multi-Agent Systems Aims and scope Submit manuscript

Abstract

When autonomous agents decide on their bidding strategies in real world auctions, they have a number of concerns that go beyond the models that are normally analyzed in traditional auction theory. Oftentimes, the agents have budget constraints and the auctions have a reserve price, both of which restrict the bids the agents can place. In addition, their attitude need not be risk-neutral and they may have uncertainty about the value of the goods they are buying. Some of these issues have been examined individually for single-unit sealed-bid auctions. However, in this paper, we extend this analysis to the multi-unit case, and also analyze the multi-unit sealed-bid auctions in which a combination of these issues are present, for unit-demand bidders. This analysis constitutes the main contribution of this paper. We then demonstrate the usefulness in practice of this analysis; we show in simulations that taking into account all these issues allows the bidders to maximize their utility. Furthermore, using this analysis allows a seller to improve her revenue, i.e. by selecting the optimal reserve price and auction format.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Borgs, C., Chayes, J. T., Immorlica, N., Mahdian, M., & Saber, A. (2005). Multi-unit auctions with budget-constrained bidders. In Proceedings of the 6th ACM conference on electronic commerce (ACM EC’05) (pp. 44–51).

  2. Brandt, F., Sandholm, T., & Shoham, Y. (2007). Spiteful bidding in sealed-bid auctions. In IJCAI-07 (pp. 1207–1214).

  3. Byde, A. (2002). Applying evolutionary game theory to auction mechanism design. HP Laboratories Bristol, Technical Report HPL-2002-321.

  4. Che Y., Gale I. (1998) Standard auctions with financially constrained bidders. Review of Economic Studies 65(1): 1–21

    Article  MATH  MathSciNet  Google Scholar 

  5. Che Y. K., Gale I. (1996) Expected revenue of all-pay auctions and first-price sealed-bid auctions with budget constraints. Economics Letters 50(3): 373–379

    Article  MATH  Google Scholar 

  6. Gerding, E. H., Dash, R. K., Yuen, D. C. K., & Jennings, N. R. (2007). Bidding optimally in concurrent second-price auctions of perfectly substitutable goods. In Proceedings of the 6th international joint conference on autonomous agents and multi-agent systems, Hawaii, USA (pp. 267–274).

  7. Krishna V. (2002) Auction Theory. Academic Press, London

    Google Scholar 

  8. Larson, K., & Sandholm, T. (2001). Costly valuation computation in auctions. In 8th Conference of theoretical aspects of knowledge and rationality (TARK VIII) (pp. 169–182).

  9. Lebrun B. (1999) First price auctions and the asymmetric n bidder case. International Economic Review 40(1): 125–142

    Article  Google Scholar 

  10. Liu, Y., Goodwin R., & Koenig S. (2003). Risk-averse auction agents. In Proceedings of the 2nd international joint conference on autonomous agents and multi-agent systems (pp. 353–360).

  11. Maskin E., Riley J. (1984) Optimal auctions with risk averse buyers. Econometrica 52(6): 1473–1518

    Article  MATH  MathSciNet  Google Scholar 

  12. Maskin E., Riley J. (2000) Asymmetric auctions. Review of Economic Studies 67: 413–438

    Article  MATH  MathSciNet  Google Scholar 

  13. Myerson R. B. (1981) Optimal auction design. Mathematics of Operations Research 6: 58–73

    Article  MATH  MathSciNet  Google Scholar 

  14. Parkes D. C. (1999). Optimal auction design for agents with hard valuation problems. In Proceedings of the IJCAI-99 workshop on agent mediated electronic commerce (pp. 206–219).

  15. Rice J. A. (1995) Mathematical Statistics and Data Analysis. Duxbury Press, California

    MATH  Google Scholar 

  16. Riley J. G., Samuelson W. F. (1981) Optimal auctions. The American Economic Review 71(3): 381–392

    Google Scholar 

  17. Thompson D., & Leyton-Brown K. (2007). Valuation uncertainty and imperfect introspection in second-price auctions. In Proceedings of the 22nd conference on artificial intelligence (AAAI) (pp. 148–153).

  18. Vetsikas, I. A., & Jennings, N. R. (2007). Outperforming the competition in multi-unit sealed bid auctions. In Proceedings of the 6th international joint conference on autonomous agents and multi-agent systems (pp. 702–709).

  19. Vetsikas I. A., & Jennings N. R. (2008a). Bidding strategies for realistic multi-unit sealed-bid auctions. In Proceedings of AAAI-08 (pp. 182–189).

  20. Vetsikas I. A., & Jennings N. R. (2008b). Considering assymmetric opponents in multi-unit sealed-bid auctions. In Proceedings of the 1st international workshop on market based control (MBC).

  21. Weber R. (1997) Making more from less: Strategic demand reduction in the fcc spectrum auctions. Journal of Economics and Management Strategy 6(3): 529–548

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ioannis A. Vetsikas.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Vetsikas, I.A., Jennings, N.R. Bidding strategies for realistic multi-unit sealed-bid auctions. Auton Agent Multi-Agent Syst 21, 265–291 (2010). https://doi.org/10.1007/s10458-009-9109-6

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10458-009-9109-6

Keywords

Navigation