M. Kaisers, K. Tuyls, and F. Thuijsman. Proc. of 20th Belgian-Netherlands Conference on Artificial Intelligence (BNAIC 2008), page 113--120. University of Twente, (2008)
Abstract
Auctions are pervasive in today's society. They provide a variety of markets, ranging from consumer-toconsumer online auctions to government-to-business auctions for telecommunications spectrum licenses. Starting from a set of trading strategies, this article enables a strategic choice by introducing the use of linear programming as a methodology to approximate heuristic payoff tables by normal form games. This method is evaluated on data from auction simulation by applying an evolutionary game theory analysis. The ...
%0 Conference Paper
%1 Kaisers2008a
%A Kaisers, Michael
%A Tuyls, Karl
%A Thuijsman, Frank
%B Proc. of 20th Belgian-Netherlands Conference on Artificial Intelligence (BNAIC 2008)
%D 2008
%I University of Twente
%K auction game games theory,evolutionary theory,multi-agent
%P 113--120
%T Discovering the game in auctions
%U http://www.sci.brooklyn.cuny.edu/~parsons/projects/mech-design/publications/bnaic08.pdf
%X Auctions are pervasive in today's society. They provide a variety of markets, ranging from consumer-toconsumer online auctions to government-to-business auctions for telecommunications spectrum licenses. Starting from a set of trading strategies, this article enables a strategic choice by introducing the use of linear programming as a methodology to approximate heuristic payoff tables by normal form games. This method is evaluated on data from auction simulation by applying an evolutionary game theory analysis. The ...
@inproceedings{Kaisers2008a,
abstract = {Auctions are pervasive in today's society. They provide a variety of markets, ranging from consumer-toconsumer online auctions to government-to-business auctions for telecommunications spectrum licenses. Starting from a set of trading strategies, this article enables a strategic choice by introducing the use of linear programming as a methodology to approximate heuristic payoff tables by normal form games. This method is evaluated on data from auction simulation by applying an evolutionary game theory analysis. The ...},
added-at = {2016-12-19T12:09:05.000+0100},
author = {Kaisers, Michael and Tuyls, Karl and Thuijsman, Frank},
biburl = {https://www.bibsonomy.org/bibtex/235f1e1855739fb301fbdec7e3d8c5aba/swarmlab},
booktitle = {Proc. of 20th Belgian-Netherlands Conference on Artificial Intelligence (BNAIC 2008)},
interhash = {901fdd8fa0881a14167e804bd8606705},
intrahash = {35f1e1855739fb301fbdec7e3d8c5aba},
keywords = {auction game games theory,evolutionary theory,multi-agent},
pages = {113--120},
publisher = {University of Twente},
timestamp = {2016-12-19T12:18:59.000+0100},
title = {{Discovering the game in auctions}},
url = {http://www.sci.brooklyn.cuny.edu/~parsons/projects/mech-design/publications/bnaic08.pdf},
year = 2008
}