ANAC 2018: Repeated Multilateral Negotiation League

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

doi:10.11517/pjsai.JSAI2019.0_2F1E301

ANAC 2018: Repeated Multilateral Negotiation League

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

Centrum voor Wiskunde en Informatica

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

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
Editors	Yukio Ohsawa, Katsutoshi Yada, Takayuki Ito, Yasufumi Takama, Eri Sato-Shimokawara, Akinori Abe, Junichiro Mori, Naohiro Matsumura
Place of Publication	Cham
Publisher	Springer
Pages	77-89
Number of pages	13
ISBN (Print)	978-3-030-39878-1
DOIs	https://doi.org/10.11517/pjsai.JSAI2019.0_2F1E301
Publication status	Published - 2019
Externally published	Yes

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10.11517/pjsai.JSAI2019.0_2F1E301

Cite this

@inproceedings{1a57bd5174704cadbb618ff5974da793,

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' preferences as well as their strategy into account.",

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

year = "2019",

doi = "10.11517/pjsai.JSAI2019.0_2F1E301",

language = "English",

isbn = "978-3-030-39878-1",

pages = "77--89",

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",

publisher = "Springer",

address = "Germany",

}

ANAC 2018: Repeated Multilateral Negotiation League. / Reyhan, Aydo; Fujita, Katsuhide; Baarslag, Tim et al.
Advances in Artificial Intelligence. ed. / Yukio Ohsawa; Katsutoshi Yada; Takayuki Ito; Yasufumi Takama; Eri Sato-Shimokawara; Akinori Abe; Junichiro Mori; Naohiro Matsumura. Cham: Springer, 2019. p. 77-89.

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

TY - GEN

T1 - ANAC 2018: Repeated Multilateral Negotiation League

AU - Reyhan, Aydo

AU - Fujita, Katsuhide

AU - Baarslag, Tim

AU - Jonker, Catholijn M.

AU - Ito, Takayuki

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.

U2 - 10.11517/pjsai.JSAI2019.0_2F1E301

DO - 10.11517/pjsai.JSAI2019.0_2F1E301

M3 - Conference contribution

SN - 978-3-030-39878-1

SP - 77

EP - 89

BT - Advances in Artificial Intelligence

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

CY - Cham

ER -

ANAC 2018: Repeated Multilateral Negotiation League

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