• Classified by Topic • Classified by Publication Type • Sorted by Date • Sorted by First Author Last Name • Classified by Funding Source •
Developing Adaptive Auction Mechanisms.
David Pardoe and Peter
Stone.
ACM SIGecom Exchanges, 5(3):1–10, April 2005.
SIGecom
Exchanges
[PDF]155.6kB [postscript]212.4kB
Mechanism design has traditionally been a largely analytic process, relying on assumptions such as fully rational bidders. In practice, however, these assumptions may not hold, making bidder behavior difficult to model and complicating the design process. To address this issue, we propose a different approach to mechanism design. Instead of relying on analytic methods that require specific assumptions about bidders, our approach is to create a self-adapting mechanism that adjusts auction parameters in response to past auction results. In this paper, we describe our approach and then present an example of its implementation to illustrate its efficacy.
@article(SIGecom05,
author="David Pardoe and Peter Stone",
title="Developing Adaptive Auction Mechanisms",
month="April",year="2005",
volume="5",number="3",pages="1--10",
journal="{ACM} {SIG}ecom Exchanges",
abstract={
Mechanism design has traditionally been a largely
analytic process, relying on assumptions such as
fully rational bidders. In practice, however, these
assumptions may not hold, making bidder behavior
difficult to model and complicating the design
process. To address this issue, we propose a
different approach to mechanism design. Instead of
relying on analytic methods that require specific
assumptions about bidders, our approach is to create
a self-adapting mechanism that adjusts auction
parameters in response to past auction results. In
this paper, we describe our approach and then
present an example of its implementation to
illustrate its efficacy.
},
wwwnote={<a href="http://www.acm.org/sigecom/exchanges/">SIGecom Exchanges</a>},
)
Generated by bib2html.pl (written by Patrick Riley ) on Thu Oct 23, 2025 16:14:13