Vidal's libraryTitle: | 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