Vidal's libraryTitle: | Multiagent Coordination Using a Distributed Combinatorial Auction |
Author: | José M. Vidal |
Book Tittle: | AAAI Workshop on Auction Mechanism for Robot Coordination |
Month: | July |
Year: | 2006 |
Poster: | Here |
Abstract: | Combinatorial auctions are a great way to represent and solve distributed allocation problems. Unfortunately, most of the winner determination solutions that exists are centralized. They require all agents to send their bids to a centralized auctioneer who then determines the winners. The PAUSE auction, in contrast, is an increasing-price combinatorial auction in which the problem of winner determination is naturally distributed amongst the bidders. Furthermore, the bidders' have an incentive to perform the required computations. But, until now, no bidding algorithm for the auction existed. We provide a bidding algorithm for agents in a PAUSE auction, the pausebid algorithm. It always returns the bid that maximizes the bidder's utility. In effect, pausebid is a the distributed counterpart to the existing centralized winner determination algorithms, from which we borrow several proven techniques. Our test results show that a system where all agents use pausebid finds the revenue-maximizing solution at least 95% of the time. Run time, as expected since this is an NP-complete problem, remains exponential on the number of items. |
Cited by 1 - Google Scholar
@InProceedings{vidal06a,
author = {Jos\'{e} M. Vidal},
title = {Multiagent Coordination Using a Distributed
Combinatorial Auction},
booktitle = {{AAAI} Workshop on Auction Mechanism for Robot
Coordination},
year = 2006,
month = {July},
abstract = { Combinatorial auctions are a great way to represent
and solve distributed allocation
problems. Unfortunately, most of the winner
determination solutions that exists are
centralized. They require all agents to send their
bids to a centralized auctioneer who then determines
the winners. The PAUSE auction, in contrast, is an
increasing-price combinatorial auction in which the
problem of winner determination is naturally
distributed amongst the bidders. Furthermore, the
bidders' have an incentive to perform the required
computations. But, until now, no bidding algorithm
for the auction existed. We provide a bidding
algorithm for agents in a PAUSE auction, the
pausebid algorithm. It always returns the bid that
maximizes the bidder's utility. In effect, pausebid
is a the distributed counterpart to the existing
centralized winner determination algorithms, from
which we borrow several proven techniques. Our test
results show that a system where all agents use
pausebid finds the revenue-maximizing solution at
least 95\% of the time. Run time, as expected since
this is an NP-complete problem, remains exponential
on the number of items. },
cluster = {16414258313793794495},
url = {http://jmvidal.cse.sc.edu/papers/vidal06a.pdf},
poster = {http://jmvidal.cse.sc.edu/papers/vidal06a-poster.pdf},
keywords = {multiagent combinatorial auctions}
}
Last modified: Wed Mar 9 10:16:32 EST 2011