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All Bids for One and One Does for All: Market-Driven Multi-agent Collaboration in Robot Soccer Domain

Hatice Köse, Çetin Meriçli, Kemal Kaplan, and H. Levent Akın. All Bids for One and One Does for All: Market-Driven Multi-agent Collaboration in Robot Soccer Domain. In ISCIS, pp. 529–536, 2003.

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Abstract

This work proposes a novel approach for introducing market-driven strategy to robot soccer domain in order to solve vital issues related to multi-agent coordination. In robot soccer, two teams of robots compete with each other to win the match. For the benefit of the team, the robots should work collaboratively, whenever possible. Market-driven approach applies the basic properties of free market economy to a team of robots, to increase the profit of team as much as possible. This approach is based on the assumption that maximizing individual profit will approximate global profit maximization. In several works, this method was applied to some open issues in multi-agent systems like multi-robot exploration and coordination, but these implementations were limited. In this work, this approach is applied for the first time to the robot soccer domain, which is being a complex, dynamic and real-time event, one of the prominent topics of multi-agent research. In this paper, a market-driven collaborative task allocation algorithm for the robot soccer domain is proposed and experimental results are discussed.

BibTeX

@inproceedings{DBLP-conf-iscis-KoseMKA03,
  author    = {Hatice Köse and Çetin Meriçli and Kemal Kaplan and H. Levent Akın},
  title     = {All Bids for One and One Does for All: Market-Driven Multi-agent Collaboration in Robot Soccer Domain},
  booktitle = {ISCIS},
  year      = {2003},
  pages     = {529-536},
  ee        = {http://springerlink.metapress.com/openurl.asp?genre=article&issn=0302-9743&volume=2869&spage=529},
  crossref  = {DBLP:conf/iscis/2003},
  bibsource = {DBLP, http://dblp.uni-trier.de},
  abstract  = {This work proposes a novel approach for introducing market-driven strategy to robot soccer domain in order to solve vital issues related to multi-agent coordination. In robot soccer, two teams of robots compete with each other to win the match. For the benefit of the team, the robots should work collaboratively, whenever possible. Market-driven approach applies the basic properties of free market economy to a team of robots, to increase the profit of team as much as possible. This approach is based on the assumption that maximizing individual profit will approximate global profit maximization. In several works, this method was applied to some open issues in multi-agent systems like multi-robot exploration and coordination, but these implementations were limited. In this work, this approach is applied for the first time to the robot soccer domain, which is being a complex, dynamic and real-time event, one of the prominent topics of multi-agent research. In this paper, a market-driven collaborative 
task allocation algorithm for the robot soccer domain is proposed and experimental results are discussed.}
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  bib2html_pubtype = {Refereed Conference},
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