Empirical hardness for mixed auctions

  • Authors:
  • Pablo Almajano;Jesús Cerquides;Juan A. Rodriguez-Aguilar

  • Affiliations:
  • IIIA, Artificial Intelligence Research Institute, CSIC, Spanish National Research Council;UB, WAI, Dep. Matemàtica Aplicada i Anàlisi, Universitat de Barcelona;IIIA, Artificial Intelligence Research Institute, CSIC, Spanish National Research Council

  • Venue:
  • CAEPIA'09 Proceedings of the Current topics in artificial intelligence, and 13th conference on Spanish association for artificial intelligence
  • Year:
  • 2009

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Abstract

Mixed Multi-Unit Combinatorial Auctions (MMUCAs) offer a high potential to be employed for the automated assembly of supply chains of agents. However, little is known about the factors making a winner determination problem (WDP) instance hard to solve. In this paper we empirically study the hardness of MMUCAs: (i) to build a model that predicts the time required to solve a WDP instance (because time can be an important constraint during an auction-based negotiation); and (ii) to assess the factors that make a WDP instance hard to solve.