ANAC 2017: Repeated multilateral negotiation league

Name: ANAC 2017: Repeated multilateral negotiation league
Author: Aydoğan, Reyhan, Fujita, K., Baarslag, T., Jonker, C. M., Ito, T.

İsim	ANAC 2017: Repeated multilateral negotiation league
Yazar	Aydoğan, Reyhan, Fujita, K., Baarslag, T., Jonker, C. M., Ito, T.
Basım Tarihi:	2021
Basım Yeri	- Springer
Tür	Belge
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	978-981155868-9
Kayıt Numarası	b429de36-5bf5-44a3-b139-c17413981043
Lokasyon	Computer Science
Tarih	2021
Notlar	Nederlandse Organisatie voor Wetenschappelijk Onderzoek
Örnek Metin	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.
DOI	10.1007/978-981-15-5869-6_7
Cilt	905

Kaynağa git Özyeğin Üniversitesi

Aramaya Dön

Özyeğin Üniversitesi

Kaynağa git

ANAC 2017: Repeated multilateral negotiation league

Yazar Aydoğan, Reyhan, Fujita, K., Baarslag, T., Jonker, C. M., Ito, T.

Basım Tarihi 2021

Basım Yeri - Springer

Tür Belge

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 978-981155868-9

Kayıt Numarası b429de36-5bf5-44a3-b139-c17413981043

Lokasyon Computer Science

Tarih 2021

Notlar Nederlandse Organisatie voor Wetenschappelijk Onderzoek

Örnek Metin 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.

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

Cilt 905