ANAC 2018: Repeated Multilateral Negotiation League

Reyhan Aydogan; Katsuhide Fujita; Tim Baarslag; Catholijn Jonker; Takayuki Ito

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

ANAC 2018: Repeated Multilateral Negotiation League

Reyhan Aydogan, Katsuhide Fujita, Tim Baarslag, Catholijn Jonker, Takayuki Ito

Interactive Intelligence

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

3 Citations (Scopus)

31 Downloads (Pure)

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 - 2019
Event	The 33rd Annual Conference of the Japanese Society for Artificial Intelligence - Niigata, Japan Duration: 4 Jun 2019 → 7 Jun 2019 http://www.ai-gakkai.or.jp/jsai2019/en

Publication series

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

Conference

Conference	The 33rd Annual Conference of the Japanese Society for Artificial Intelligence
Abbreviated title	JSAI 2019
Country/Territory	Japan
City	Niigata
Period	4/06/19 → 7/06/19
Internet address	http://www.ai-gakkai.or.jp/jsai2019/en

Bibliographical note

Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Keywords

Competition
Multi-agent system
Negotiation

Access to Document

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

scanFinal published version, 4.45 MB

https://confit.atlas.jp/guide/event/jsai2019/subject/2F1-E-3-01/advanced

Cite this

Aydogan, R., Fujita, K., Baarslag, T., Jonker, C., & Ito, T. (2019). 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

Aydogan, 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, 2019. pp. 77-89 (Advances in Intelligent Systems and Computing).

@inproceedings{ae7b6194b15644d2bd3f289eebc4fc79,

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 Aydogan and Katsuhide Fujita and Tim Baarslag and Catholijn Jonker and Takayuki Ito",

note = "Green Open Access added to TU Delft Institutional Repository {\textquoteleft}You share, we take care!{\textquoteright} – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.; The 33rd Annual Conference of the Japanese Society for Artificial Intelligence, JSAI 2019 ; Conference date: 04-06-2019 Through 07-06-2019",

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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",

booktitle = "Advances in Artificial Intelligence - Selected Papers from the Annual Conference of Japanese Society of Artificial Intelligence JSAI 2019",

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Aydogan, R, Fujita, K, Baarslag, T, Jonker, C & Ito, T 2019, 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, The 33rd Annual Conference of the Japanese Society for Artificial Intelligence, Niigata, Japan, 4/06/19. https://doi.org/10.1007/978-3-030-39878-1_8

ANAC 2018: Repeated Multilateral Negotiation League. / Aydogan, 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, 2019. p. 77-89 (Advances in Intelligent Systems and Computing; Vol. 1128 AISC).

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

TY - GEN

T1 - ANAC 2018

T2 - The 33rd Annual Conference of the Japanese Society for Artificial Intelligence

AU - Aydogan, Reyhan

AU - Fujita, Katsuhide

AU - Baarslag, Tim

AU - Jonker, Catholijn

AU - Ito, Takayuki

N1 - Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

PY - 2019

Y1 - 2019

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

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M3 - Conference contribution

SN - 9783030398774

T3 - Advances in Intelligent Systems and Computing

SP - 77

EP - 89

BT - Advances in Artificial Intelligence - Selected Papers from the Annual Conference of Japanese Society of Artificial Intelligence JSAI 2019

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

ER -

Aydogan R, Fujita K, Baarslag T, Jonker C, 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. 2019. p. 77-89. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-030-39878-1_8

ANAC 2018: Repeated Multilateral Negotiation League

Abstract

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Bibliographical note

Keywords

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