Optimal Pricing for Submodular Valuations with Bounded Curvature

Authors

  • Takanori Maehara Shizuoka University
  • Yasushi Kawase Tokyo Institute of Technology
  • Hanna Sumita National Institute of Informatics
  • Katsuya Tono University of Tokyo
  • Ken-ichi Kawarabayashi National Institute of Informatics

DOI:

https://doi.org/10.1609/aaai.v31i1.10576

Keywords:

optimal pricing, combinatorial auction, submodular function, curvature

Abstract

The optimal pricing problem is a fundamental problem that arises in combinatorial auctions. Suppose that there is one seller who has indivisible items and multiple buyers who want to purchase a combination of the items. The seller wants to sell his items for the highest possible prices, and each buyer wants to maximize his utility (i.e., valuation minus payment) as long as his payment does not exceed his budget. The optimal pricing problem seeks a price of each item and an assignment of items to buyers such that every buyer achieves the maximum utility under the prices. The goal of the problem is to maximize the total payment from buyers. In this paper, we consider the case that the valuations are submodular. We show that the problem is computationally hard even if there exists only one buyer. Then we propose approximation algorithms for the unlimited budget case. We also extend the algorithm for the limited budget case when there exists one buyer and multiple buyers collaborate with each other.

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Published

2017-02-10

How to Cite

Maehara, T., Kawase, Y., Sumita, H., Tono, K., & Kawarabayashi, K.- ichi. (2017). Optimal Pricing for Submodular Valuations with Bounded Curvature. Proceedings of the AAAI Conference on Artificial Intelligence, 31(1). https://doi.org/10.1609/aaai.v31i1.10576

Issue

Section

AAAI Technical Track: Game Theory and Economic Paradigms