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Sequences of Take-It-or-Leave-It Offers: Near-Optimal Auctions Without Full Valuation Revelation

Authors Tuomas Sandholm, Andrew Gilpin



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Tuomas Sandholm
Andrew Gilpin

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Tuomas Sandholm and Andrew Gilpin. Sequences of Take-It-or-Leave-It Offers: Near-Optimal Auctions Without Full Valuation Revelation. In Computing and Markets. Dagstuhl Seminar Proceedings, Volume 5011, pp. 1-17, Schloss Dagstuhl - Leibniz-Zentrum für Informatik (2005)
https://doi.org/10.4230/DagSemProc.05011.16

Abstract

We introduce take-it-or-leave-it auctions (TLAs) as an allocation mechanism that allows buyers to retain much of their private valuation information, yet generates close-to-optimal expected utility for the seller. We show that if each buyer receives at most one offer, each buyers dominant strategy is to act truthfully. In more general TLAs, the buyers optimal strategies are more intricate, and we derive the perfect Bayesian equilibrium for the game. We develop algorithms for finding the equilibrium and also for optimizing the offers so as to maximize the sellers expected utility. In several example settings we show that the sellers expected utility already is close to optimal for a small number of offers. As the number of buyers increases, the sellers expected utility increases, and becomes increasingly (but not monotonically) more competitive with Myersons expected utility maximizing auction.
Keywords
  • compact representation of games
  • congestion games
  • local-effect games
  • action-graph gamescomputational markets; auctions; bidding strategiesNegotiatio

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