Abstract
As traditional commerce moves on-line more business transactions will be mediated by software agents, and the ability of agent-mediated electronic marketplaces to efficiently allocate resources will be highly dependent on the complexity of the decision problems that agents face; determined in part by the structure of the marketplace, resource characteristics, and the nature of agents’ local problems. We compare auction performance for agents that have hard local problems, and uncertain values for goods. Perhaps an agent must solve a hard optimization problem to value a good, or interact with a busy and expensive human expert. Although auction design cannot simplify the valuation problem itself, we show that good auction design can simplify meta-deliberation – providing incentives for the “right” agents to deliberate for the “right” amount of time. Empirical results for a particular cost-benefit model of deliberation show that an ascending-price auction will often support higher revenue and efficiency than other auction designs. The price provides agents with useful information about the value that other agents hold for the good.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Bakos, Y.: Reducing buyer search costs: Implications for electronic marketplaces. Management Science 43(12) (1997)
Boutilier, C., Goldszmidt, M., Sabata, B.: Sequential auctions for the allocation of resources with complementarities. In: Proc. 16th International Joint Conference on Artificial Intelligence (IJCAI 1999), pp. 527–534 (1999)
Ehrman, C., Peters, M.: Sequential selling mechanisms. Economic Theory 4, 237–253 (1994)
Greenwald, A., Kephart, J.O.: Shopbots and pricebots. In: Proc. 16th International Joint Conference on Artificial Intelligence (IJCAI 1999), pp. 506–511 (1999)
Guttman, R.H., Maes, P.: Cooperative vs. competitive multi-agent negotiations in retail electronic commerce. In: Klusch, M., Weiss, G. (eds.) CIA 1998. LNCS (LNAI), vol. 1435, p. 135. Springer, Heidelberg (1998)
Hausch, D.B., Li, L.: A common value auction model with endogeneous entry and information acquisition. Economic Theory 3, 315–334 (1993)
Huhns, M.H., Vidal, J.M.: Online auctions. IEEE Internet Computing 3(3), 103–105 (1999)
Kfir-Dahav, N.E., Monderer, D., Tennenholtz, M.: Mechanism design for resource bounded agents. Technical report, Technion (1998)
Lehmann, D., O’Callaghan, L., Shoham, Y.: Truth revelation in rapid, approximately efficient combinatorial auctions. In: Proc. ACM Conference on Electronic Commerce, EC 1999 (1999)
Lippman, S.A., McCall, J.J.: The economics of job search: A survey. Economic Inquiry 14, 155–189 (1976)
McAfee, R.P., McMillan, J.: Auctions with entry. Economic Letters 23, 343–347 (1987a)
McAfee, R.P., McMillan, J.: Auctions and bidding. Journal of Economic Literature 25, 699–738 (1987b)
Monderer, D., Tennenholtz, M.: Internet auctions - are they gamblers’ attraction? Technical report, Technion (1998)
Nisan, N., Ronen, A.: Algorithmic mechanism design (extended abstract). In: Proc. 31st Annual Symposium on Theory of Computing, STOC 1999 (1999)
Parkes, D.C., Ungar, L.H.: Bounded rational compatible auctions (2000a) (submitted for publication)
Parkes, D.C., Ungar, L.H.: Iterative combinatorial auctions: Theory and practice. In: Proc. 18th National Conference on Artificial Intelligence, AAAI 2000 (2000b) (to appear)
Parkes, D.C., Ungar, L.H., Foster, D.P.: Accounting for cognitive costs in on-line auction design. In: Noriega, P., Sierra, C. (eds.) AMET 1998 and AMEC 1998. LNCS (LNAI), vol. 1571, pp. 25–40. Springer, Heidelberg (1999); Earlier version appeared at the Agents 1998 Workshop on Agent Mediated Electronic Trading (1998)
Parkes, D.C.: iBundle: An efficient ascending price bundle auction. In: Proc. ACM Conference on Electronic Commerce (EC 1999), pp. 148–157 (1999a)
Parkes, D.C.: On agent metadeliberation strategies in auctions. Technical report, University of Pennsylvania (1999b)
Parunak, V., Ward, A., Sauter, J.: A systematic market approach to distributed constraint problems. In: Proc. 3rd International Conference on Multi-Agent Systems (ICMAS 1998), pp. 455–456 (1998) (poster session)
Rothhopf, M.H., Harstad, R.M.: Modeling competitive bidding: A critical essay. Management Science 40(3), 364–384 (1994)
Russell, S., Wefald, E.: Principles of metareasoning. Artificial Intelligence 49, 361–395 (1991)
Sandholm, T.W., Lesser, V.R.: Advantages of a leveled commitment contracting protocol. In: Proc. 14th National Conference on Artificial Intelligence (AAAI 1996), pp. 126–133 (1996)
Sandholm, T.W., Lesser, V.R.: Coalitions among computationally bounded agents. Artificial Intelligence 94(1-2), 99–137 (1997)
Sandholm, T.: An implementation of the Contract Net Protocol based on marginal-cost calculations. In: Proc. 11th National Conference on Artificial Intelligence (AAAI 1993), pp. 256–262 (1993)
Shoham, Y., Tennenholtz, M.: What can a market compute, and at what expense? Technical report, Technion (1999)
Varian, H., MacKie-Mason, J.K.: Generalized Vickrey auctions. Technical report, University of Michigan (1995)
Varian, H.R.: Economic mechanism design for computerized agents. In: Proc. USENIX Workshop on Electronic Commerce (1995) (Minor update 2000)
Wellman, M.P.: A market-oriented programming environment and its application to distributed multicommodity flow problems. Journal of Artificial Intelligence Research 1, 1–23 (1993)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2000 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Parkes, D.C. (2000). Optimal Auction Design for Agents with Hard Valuation Problems. In: Moukas, A., Ygge, F., Sierra, C. (eds) Agent Mediated Electronic Commerce II. AMEC 1999. Lecture Notes in Computer Science(), vol 1788. Springer, Berlin, Heidelberg. https://doi.org/10.1007/10720026_11
Download citation
DOI: https://doi.org/10.1007/10720026_11
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-67773-4
Online ISBN: 978-3-540-44982-9
eBook Packages: Springer Book Archive