All bids for one and one does for all: Market-driven multi-agent collaboration in robot soccer domain

Hatice Köse; Çetin Meriçli; Kemal Kaplan; H. Levent Akın

doi:10.1007/978-3-540-39737-3_66

All bids for one and one does for all: Market-driven multi-agent collaboration in robot soccer domain

Hatice Köse, Çetin Meriçli, Kemal Kaplan, H. Levent Akın

Bogazici University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

8 Citations (Scopus)

Abstract

In this paper, a novel market-driven collaborative task allocation algorithm called “Collaboration by competition/cooperation for the robot soccer domain is proposed and implemented. 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. The market-driven approach applies the basic properties of free market economy to a team of robots for increasing the profit of the team as much as possible. The experimental results show that the approach is robust and flexible and the developed team is more succcessful than its opponents.

Original language	English
Title of host publication	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Editors	Adnan Yazici, Cevat Sener
Publisher	Springer Verlag
Pages	529-536
Number of pages	8
ISBN (Print)	3540204091, 9783540397373
DOIs	https://doi.org/10.1007/978-3-540-39737-3_66
Publication status	Published - 2003
Externally published	Yes
Event	18th International Symposium on Computer and Information Sciences, ISCIS 2003 - Antalya, Turkey Duration: 3 Nov 2003 → 5 Nov 2003

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	2869
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	18th International Symposium on Computer and Information Sciences, ISCIS 2003
Country/Territory	Turkey
City	Antalya
Period	3/11/03 → 5/11/03

Bibliographical note

Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 2003.

Keywords

Collaboration
Market-driven
Multi-agent
Robot soccer

Access to Document

10.1007/978-3-540-39737-3_66

Cite this

Köse, H., Meriçli, Ç., Kaplan, K., & Levent Akın, H. (2003). All bids for one and one does for all: Market-driven multi-agent collaboration in robot soccer domain. In A. Yazici, & C. Sener (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 529-536). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2869). Springer Verlag. https://doi.org/10.1007/978-3-540-39737-3_66

Köse, Hatice ; Meriçli, Çetin ; Kaplan, Kemal et al. / All bids for one and one does for all : Market-driven multi-agent collaboration in robot soccer domain. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). editor / Adnan Yazici ; Cevat Sener. Springer Verlag, 2003. pp. 529-536 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{610085f16e274e509599602d913ce247,

title = "All bids for one and one does for all: Market-driven multi-agent collaboration in robot soccer domain",

abstract = "In this paper, a novel market-driven collaborative task allocation algorithm called “Collaboration by competition/cooperation for the robot soccer domain is proposed and implemented. 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. The market-driven approach applies the basic properties of free market economy to a team of robots for increasing the profit of the team as much as possible. The experimental results show that the approach is robust and flexible and the developed team is more succcessful than its opponents.",

keywords = "Collaboration, Market-driven, Multi-agent, Robot soccer",

author = "Hatice K{\"o}se and {\c C}etin Meri{\c c}li and Kemal Kaplan and {Levent Akın}, H.",

note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2003.; 18th International Symposium on Computer and Information Sciences, ISCIS 2003 ; Conference date: 03-11-2003 Through 05-11-2003",

year = "2003",

doi = "10.1007/978-3-540-39737-3_66",

language = "English",

isbn = "3540204091",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

pages = "529--536",

editor = "Adnan Yazici and Cevat Sener",

booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

address = "Germany",

}

Köse, H, Meriçli, Ç, Kaplan, K & Levent Akın, H 2003, All bids for one and one does for all: Market-driven multi-agent collaboration in robot soccer domain. in A Yazici & C Sener (eds), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 2869, Springer Verlag, pp. 529-536, 18th International Symposium on Computer and Information Sciences, ISCIS 2003, Antalya, Turkey, 3/11/03. https://doi.org/10.1007/978-3-540-39737-3_66

All bids for one and one does for all: Market-driven multi-agent collaboration in robot soccer domain. / Köse, Hatice; Meriçli, Çetin; Kaplan, Kemal et al.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). ed. / Adnan Yazici; Cevat Sener. Springer Verlag, 2003. p. 529-536 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2869).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - All bids for one and one does for all

T2 - 18th International Symposium on Computer and Information Sciences, ISCIS 2003

AU - Köse, Hatice

AU - Meriçli, Çetin

AU - Kaplan, Kemal

AU - Levent Akın, H.

N1 - Publisher Copyright: © Springer-Verlag Berlin Heidelberg 2003.

PY - 2003

Y1 - 2003

N2 - In this paper, a novel market-driven collaborative task allocation algorithm called “Collaboration by competition/cooperation for the robot soccer domain is proposed and implemented. 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. The market-driven approach applies the basic properties of free market economy to a team of robots for increasing the profit of the team as much as possible. The experimental results show that the approach is robust and flexible and the developed team is more succcessful than its opponents.

AB - In this paper, a novel market-driven collaborative task allocation algorithm called “Collaboration by competition/cooperation for the robot soccer domain is proposed and implemented. 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. The market-driven approach applies the basic properties of free market economy to a team of robots for increasing the profit of the team as much as possible. The experimental results show that the approach is robust and flexible and the developed team is more succcessful than its opponents.

KW - Collaboration

KW - Market-driven

KW - Multi-agent

KW - Robot soccer

UR - http://www.scopus.com/inward/record.url?scp=0142184000&partnerID=8YFLogxK

U2 - 10.1007/978-3-540-39737-3_66

DO - 10.1007/978-3-540-39737-3_66

M3 - Conference contribution

AN - SCOPUS:0142184000

SN - 3540204091

SN - 9783540397373

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 529

EP - 536

BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

A2 - Yazici, Adnan

A2 - Sener, Cevat

PB - Springer Verlag

Y2 - 3 November 2003 through 5 November 2003

ER -

Köse H, Meriçli Ç, Kaplan K, Levent Akın H. All bids for one and one does for all: Market-driven multi-agent collaboration in robot soccer domain. In Yazici A, Sener C, editors, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag. 2003. p. 529-536. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-540-39737-3_66

All bids for one and one does for all: Market-driven multi-agent collaboration in robot soccer domain

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

Other files and links

Fingerprint

Cite this