ANAC 2018: Repeated Multilateral Negotiation League

Reyhan Aydoğan; Katsuhide Fujita; Tim Baarslag; Catholijn M. Jonker; Takayuki Ito

doi:10.1007/978-3-030-39878-1_8

ANAC 2018: Repeated Multilateral Negotiation League

Reyhan Aydoğan
, Katsuhide Fujita
, Tim Baarslag
, Catholijn M. Jonker
, Takayuki Ito

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

5 Citations (Scopus)

Abstract

This is an extension from a selected paper from JSAI2019. There are a number of research challenges in the field of Automated Negotiation. The Ninth International Automated Negotiating Agent Competition encourages participants to develop effective negotiating agents, which can negotiate with multiple opponents more than once. This paper discusses research challenges for such negotiations as well as presenting the competition set-up and results. The results show that winner agents mostly adopt hybrid bidding strategies that take their opponents’ preferences as well as their strategy into account.

Original language	English
Title of host publication	Advances in Artificial Intelligence - Selected Papers from the Annual Conference of Japanese Society of Artificial Intelligence JSAI 2019
Editors	Yukio Ohsawa, Katsutoshi Yada, Takayuki Ito, Yasufumi Takama, Eri Sato-Shimokawara, Akinori Abe, Junichiro Mori, Naohiro Matsumura
Publisher	Springer
Pages	77-89
Number of pages	13
ISBN (Print)	9783030398774
DOIs	https://doi.org/10.1007/978-3-030-39878-1_8
Publication status	Published - 2020
Event	33rd Annual Conference of the Japanese Society for Artificial Intelligence, JSAI 2019 - Niigata, Japan Duration: 4 Jun 2019 → 7 Jun 2019

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	1128 AISC
ISSN (Print)	2194-5357
ISSN (Electronic)	2194-5365

Conference

Conference	33rd Annual Conference of the Japanese Society for Artificial Intelligence, JSAI 2019
Country/Territory	Japan
City	Niigata
Period	4/06/19 → 7/06/19

Bibliographical note

Publisher Copyright:
© 2020, Springer Nature Switzerland AG.

Keywords

Competition
Multi-agent system
Negotiation

Access to Document

10.1007/978-3-030-39878-1_8

Cite this

Aydoğan, R., Fujita, K., Baarslag, T., Jonker, C. M., & Ito, T. (2020). ANAC 2018: Repeated Multilateral Negotiation League. In Y. Ohsawa, K. Yada, T. Ito, Y. Takama, E. Sato-Shimokawara, A. Abe, J. Mori, & N. Matsumura (Eds.), Advances in Artificial Intelligence - Selected Papers from the Annual Conference of Japanese Society of Artificial Intelligence JSAI 2019 (pp. 77-89). (Advances in Intelligent Systems and Computing; Vol. 1128 AISC). Springer. https://doi.org/10.1007/978-3-030-39878-1_8

Aydoğan, Reyhan ; Fujita, Katsuhide ; Baarslag, Tim et al. / ANAC 2018 : Repeated Multilateral Negotiation League. Advances in Artificial Intelligence - Selected Papers from the Annual Conference of Japanese Society of Artificial Intelligence JSAI 2019. editor / Yukio Ohsawa ; Katsutoshi Yada ; Takayuki Ito ; Yasufumi Takama ; Eri Sato-Shimokawara ; Akinori Abe ; Junichiro Mori ; Naohiro Matsumura. Springer, 2020. pp. 77-89 (Advances in Intelligent Systems and Computing).

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title = "ANAC 2018: Repeated Multilateral Negotiation League",

abstract = "This is an extension from a selected paper from JSAI2019. There are a number of research challenges in the field of Automated Negotiation. The Ninth International Automated Negotiating Agent Competition encourages participants to develop effective negotiating agents, which can negotiate with multiple opponents more than once. This paper discusses research challenges for such negotiations as well as presenting the competition set-up and results. The results show that winner agents mostly adopt hybrid bidding strategies that take their opponents{\textquoteright} preferences as well as their strategy into account.",

keywords = "Competition, Multi-agent system, Negotiation",

author = "Reyhan Aydoğan and Katsuhide Fujita and Tim Baarslag and Jonker, \{Catholijn M.\} and Takayuki Ito",

note = "Publisher Copyright: {\textcopyright} 2020, Springer Nature Switzerland AG.; 33rd Annual Conference of the Japanese Society for Artificial Intelligence, JSAI 2019 ; Conference date: 04-06-2019 Through 07-06-2019",

year = "2020",

doi = "10.1007/978-3-030-39878-1\_8",

language = "English",

isbn = "9783030398774",

series = "Advances in Intelligent Systems and Computing",

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editor = "Yukio Ohsawa and Katsutoshi Yada and Takayuki Ito and Yasufumi Takama and Eri Sato-Shimokawara and Akinori Abe and Junichiro Mori and Naohiro Matsumura",

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Aydoğan, R, Fujita, K, Baarslag, T, Jonker, CM & Ito, T 2020, ANAC 2018: Repeated Multilateral Negotiation League. in Y Ohsawa, K Yada, T Ito, Y Takama, E Sato-Shimokawara, A Abe, J Mori & N Matsumura (eds), Advances in Artificial Intelligence - Selected Papers from the Annual Conference of Japanese Society of Artificial Intelligence JSAI 2019. Advances in Intelligent Systems and Computing, vol. 1128 AISC, Springer, pp. 77-89, 33rd Annual Conference of the Japanese Society for Artificial Intelligence, JSAI 2019, Niigata, Japan, 4/06/19. https://doi.org/10.1007/978-3-030-39878-1_8

ANAC 2018: Repeated Multilateral Negotiation League. / Aydoğan, Reyhan; Fujita, Katsuhide; Baarslag, Tim et al.
Advances in Artificial Intelligence - Selected Papers from the Annual Conference of Japanese Society of Artificial Intelligence JSAI 2019. ed. / Yukio Ohsawa; Katsutoshi Yada; Takayuki Ito; Yasufumi Takama; Eri Sato-Shimokawara; Akinori Abe; Junichiro Mori; Naohiro Matsumura. Springer, 2020. p. 77-89 (Advances in Intelligent Systems and Computing; Vol. 1128 AISC).

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

TY - GEN

T1 - ANAC 2018

T2 - 33rd Annual Conference of the Japanese Society for Artificial Intelligence, JSAI 2019

AU - Aydoğan, Reyhan

AU - Fujita, Katsuhide

AU - Baarslag, Tim

AU - Jonker, Catholijn M.

AU - Ito, Takayuki

PY - 2020

Y1 - 2020

N2 - This is an extension from a selected paper from JSAI2019. There are a number of research challenges in the field of Automated Negotiation. The Ninth International Automated Negotiating Agent Competition encourages participants to develop effective negotiating agents, which can negotiate with multiple opponents more than once. This paper discusses research challenges for such negotiations as well as presenting the competition set-up and results. The results show that winner agents mostly adopt hybrid bidding strategies that take their opponents’ preferences as well as their strategy into account.

AB - This is an extension from a selected paper from JSAI2019. There are a number of research challenges in the field of Automated Negotiation. The Ninth International Automated Negotiating Agent Competition encourages participants to develop effective negotiating agents, which can negotiate with multiple opponents more than once. This paper discusses research challenges for such negotiations as well as presenting the competition set-up and results. The results show that winner agents mostly adopt hybrid bidding strategies that take their opponents’ preferences as well as their strategy into account.

KW - Competition

KW - Multi-agent system

KW - Negotiation

UR - https://www.scopus.com/pages/publications/85080943591

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AN - SCOPUS:85080943591

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A2 - Ohsawa, Yukio

A2 - Yada, Katsutoshi

A2 - Ito, Takayuki

A2 - Takama, Yasufumi

A2 - Sato-Shimokawara, Eri

A2 - Abe, Akinori

A2 - Mori, Junichiro

A2 - Matsumura, Naohiro

PB - Springer

Y2 - 4 June 2019 through 7 June 2019

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Aydoğan R, Fujita K, Baarslag T, Jonker CM, Ito T. ANAC 2018: Repeated Multilateral Negotiation League. In Ohsawa Y, Yada K, Ito T, Takama Y, Sato-Shimokawara E, Abe A, Mori J, Matsumura N, editors, Advances in Artificial Intelligence - Selected Papers from the Annual Conference of Japanese Society of Artificial Intelligence JSAI 2019. Springer. 2020. p. 77-89. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-030-39878-1_8

ANAC 2018: Repeated Multilateral Negotiation League

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Bibliographical note

Keywords

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