Vidal's library
Title: Effectiveness of Query Types and Policies for Preference Elicitation in Combinatorial Auctions
Author: Benoit Hudson and Tuomas Sandholm
Book Tittle: Proceedings of the Third International Joint Conference on Autonomous Agents and MultiAgent Systems
Year: 2004
Crossref: aamas04
Abstract: Combinatorial auctions, where agents can bid on bundles of items (resources, tasks, etc.), are desirable because the agents can express complementarity and substitutability among the items. However, expressing one's preferences can require bidding on all bundles. We evaluate an approach known as incremental preference elicitation [3] and show that as the number of items increases, the amount of information required to clear the auction is a vanishing fraction of the information collected in direct revelation mechanisms. Most of the elicitors also maintain the benefit as the number of agents increases. We prove that randomization helps, in that no deterministic elicitor is a universal revelation reducer. Finally, we present a new query type that allows agents to use anytime algorithms to give approximate answers that are refined only as needed.

Cited by 11  -  Google Scholar

@InProceedings{hudson04a,
  author =	 {Benoit Hudson and Tuomas Sandholm},
  title =	 {Effectiveness of Query Types and Policies for
                  Preference Elicitation in Combinatorial Auctions},
  booktitle =	 {Proceedings of the Third International Joint
                  Conference on Autonomous Agents and MultiAgent
                  Systems},
  crossref =	 {aamas04},
  year =	 2004,
  abstract =	 {Combinatorial auctions, where agents can bid on
                  bundles of items (resources, tasks, etc.), are
                  desirable because the agents can express
                  complementarity and substitutability among the
                  items. However, expressing one's preferences can
                  require bidding on all bundles. We evaluate an
                  approach known as incremental preference elicitation
                  [3] and show that as the number of items increases,
                  the amount of information required to clear the
                  auction is a vanishing fraction of the information
                  collected in direct revelation mechanisms. Most of
                  the elicitors also maintain the benefit as the
                  number of agents increases. We prove that
                  randomization helps, in that no deterministic
                  elicitor is a universal revelation reducer. Finally,
                  we present a new query type that allows agents to
                  use anytime algorithms to give approximate answers
                  that are refined only as needed.},
  keywords =     {multiagent combinatorial auctions},
  url = 	 {http://jmvidal.cse.sc.edu/library/hudson04a.pdf},
  googleid = 	 {tbfuctCjRpMJ:scholar.google.com/},
  cluster = 	 {10612349687621924789}
}
Last modified: Wed Mar 9 10:16:16 EST 2011