ANAC 2017: Repeated Multilateral Negotiation League

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

doi:10.1007/978-981-15-5869-6_7

ANAC 2017: 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

The Automated Negotiating Agents Competition (ANAC) is annually organized competition to facilitate the research on automated negotiation. This paper presents the ANAC 2017 Repeated Multilateral Negotiation League. As human negotiators do, agents are supposed to learn from their previous negotiations and improve their negotiation skills over time. Especially, when they negotiate with the same opponent on the same domain, they can adopt their negotiation strategy according to their past experiences. They can adjust their acceptance threshold or bidding strategy accordingly. In ANAC 2017, participants aimed to develop such a negotiating agent. Accordingly, this paper describes the competition settings and results with a brief description of the winner negotiation strategies.

Original language	English
Title of host publication	Advances in Automated Negotiations
Subtitle of host publication	[Proceedings]
Editors	Takayuki Ito, Minjie Zhang, Reyhan Aydogan
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	101-115
Number of pages	15
ISBN (Electronic)	9789811558696
ISBN (Print)	9789811558689, 9789811558719
DOIs	https://doi.org/10.1007/978-981-15-5869-6_7
Publication status	Published - 2021
Externally published	Yes
Event	11th International Workshop on Automated Negotiation, ACAN 2018 - Stockholm, Sweden Duration: 13 Jul 2018 → 19 Jul 2018

Publication series

Name	Studies in Computational Intelligence
Volume	905
ISSN (Print)	1860-949X
ISSN (Electronic)	1860-9503

Name	ACAN: International Workshop on Agent-Based Complex Automated Negotiation
Publisher	Springer
Volume	2018

Conference

Conference	11th International Workshop on Automated Negotiation, ACAN 2018
Country/Territory	Sweden
City	Stockholm
Period	13/07/18 → 19/07/18

Funding

Acknowledgements This work is part of the Veni research program with project number 639.021.751, which is financed by the Netherlands Organisation for Scientific Research (NWO) and by the ITEA M2MGrids Project, grant number ITEA141011.

Funders	Funder number
Nederlandse Organisatie voor Wetenschappelijk Onderzoek	ITEA141011, 639.021.751

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10.1007/978-981-15-5869-6_7

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Aydoğan, R., Fujita, K., Baarslag, T., Jonker, C. M., & Ito, T. (2021). ANAC 2017: Repeated Multilateral Negotiation League. In T. Ito, M. Zhang, & R. Aydogan (Eds.), Advances in Automated Negotiations: [Proceedings] (pp. 101-115). (Studies in Computational Intelligence; Vol. 905), (ACAN: International Workshop on Agent-Based Complex Automated Negotiation; Vol. 2018). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-15-5869-6_7

Aydoğan, Reyhan ; Fujita, Katsuhide ; Baarslag, Tim et al. / ANAC 2017: Repeated Multilateral Negotiation League. Advances in Automated Negotiations: [Proceedings]. editor / Takayuki Ito ; Minjie Zhang ; Reyhan Aydogan. Springer Science and Business Media Deutschland GmbH, 2021. pp. 101-115 (Studies in Computational Intelligence). (ACAN: International Workshop on Agent-Based Complex Automated Negotiation).

@inproceedings{d0dee6b49c6e4c2bafd4f666958116e6,

title = "ANAC 2017: Repeated Multilateral Negotiation League",

abstract = "The Automated Negotiating Agents Competition (ANAC) is annually organized competition to facilitate the research on automated negotiation. This paper presents the ANAC 2017 Repeated Multilateral Negotiation League. As human negotiators do, agents are supposed to learn from their previous negotiations and improve their negotiation skills over time. Especially, when they negotiate with the same opponent on the same domain, they can adopt their negotiation strategy according to their past experiences. They can adjust their acceptance threshold or bidding strategy accordingly. In ANAC 2017, participants aimed to develop such a negotiating agent. Accordingly, this paper describes the competition settings and results with a brief description of the winner negotiation strategies.",

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

year = "2021",

doi = "10.1007/978-981-15-5869-6\_7",

language = "English",

isbn = "9789811558689",

series = "Studies in Computational Intelligence",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "101--115",

editor = "Takayuki Ito and Minjie Zhang and Reyhan Aydogan",

booktitle = "Advances in Automated Negotiations",

note = "11th International Workshop on Automated Negotiation, ACAN 2018 ; Conference date: 13-07-2018 Through 19-07-2018",

}

Aydoğan, R, Fujita, K, Baarslag, T, Jonker, CM & Ito, T 2021, ANAC 2017: Repeated Multilateral Negotiation League. in T Ito, M Zhang & R Aydogan (eds), Advances in Automated Negotiations: [Proceedings]. Studies in Computational Intelligence, vol. 905, ACAN: International Workshop on Agent-Based Complex Automated Negotiation, vol. 2018, Springer Science and Business Media Deutschland GmbH, pp. 101-115, 11th International Workshop on Automated Negotiation, ACAN 2018, Stockholm, Sweden, 13/07/18. https://doi.org/10.1007/978-981-15-5869-6_7

ANAC 2017: Repeated Multilateral Negotiation League. / Aydoğan, Reyhan; Fujita, Katsuhide; Baarslag, Tim et al.
Advances in Automated Negotiations: [Proceedings]. ed. / Takayuki Ito; Minjie Zhang; Reyhan Aydogan. Springer Science and Business Media Deutschland GmbH, 2021. p. 101-115 (Studies in Computational Intelligence; Vol. 905), (ACAN: International Workshop on Agent-Based Complex Automated Negotiation; Vol. 2018).

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

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AB - The Automated Negotiating Agents Competition (ANAC) is annually organized competition to facilitate the research on automated negotiation. This paper presents the ANAC 2017 Repeated Multilateral Negotiation League. As human negotiators do, agents are supposed to learn from their previous negotiations and improve their negotiation skills over time. Especially, when they negotiate with the same opponent on the same domain, they can adopt their negotiation strategy according to their past experiences. They can adjust their acceptance threshold or bidding strategy accordingly. In ANAC 2017, participants aimed to develop such a negotiating agent. Accordingly, this paper describes the competition settings and results with a brief description of the winner negotiation strategies.

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Aydoğan R, Fujita K, Baarslag T, Jonker CM, Ito T. ANAC 2017: Repeated Multilateral Negotiation League. In Ito T, Zhang M, Aydogan R, editors, Advances in Automated Negotiations: [Proceedings]. Springer Science and Business Media Deutschland GmbH. 2021. p. 101-115. (Studies in Computational Intelligence). (ACAN: International Workshop on Agent-Based Complex Automated Negotiation). Epub 2020 Aug 29. doi: 10.1007/978-981-15-5869-6_7

ANAC 2017: Repeated Multilateral Negotiation League

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