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

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	Y. Ohsawa, K. Yada, T. Ito, Y. Takama, E. Sato-Shimokawara, A. Abe, J. Mori, N. Matsumura
Publisher	Springer
Pages	77-89
ISBN (Print)	9783030398774
DOIs	https://doi.org/10.1007/978-3-030-39878-1_8
Publication status	Published - 2020
Externally published	Yes
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
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

Funding

This work is part of the Veni research programme with project number 639.021.751, which is financed by the The Dutch Research Council (NWO). We are thankful for the sponsorship of the ANAC competition by the Artificial Intelligence Journal. Acknowledgement. This work is part of the Veni research programme with project number 639.021.751, which is financed by the The Dutch Research Council (NWO). We are thankful for the sponsorship of the ANAC competition by the Artificial Intelligence Journal.

Funders	Funder number
Dutch Research Council
Association of Nurses in AIDS Care
Nederlandse Organisatie voor Wetenschappelijk Onderzoek

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

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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). 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 / Y. Ohsawa ; K. Yada ; T. Ito ; Y. Takama ; E. Sato-Shimokawara ; A. Abe ; J. Mori ; N. 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.",

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

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 = "Y. Ohsawa and K. Yada and T. Ito and Y. Takama and E. Sato-Shimokawara and A. Abe and J. Mori and N. Matsumura",

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

note = "33rd Annual Conference of the Japanese Society for Artificial Intelligence, JSAI 2019 ; Conference date: 04-06-2019 Through 07-06-2019",

}

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, 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. / Y. Ohsawa; K. Yada; T. Ito; Y. Takama; E. Sato-Shimokawara; A. Abe; J. Mori; N. Matsumura. Springer, 2020. p. 77-89 (Advances in Intelligent Systems and Computing).

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

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AU - Jonker, Catholijn M.

AU - Ito, Takayuki

PY - 2020

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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.

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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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