ANAC 2017: Repeated multilateral negotiation league

Title ANAC 2017: Repeated multilateral negotiation league
Author Aydoğan, Reyhan, Fujita, K., Baarslag, T., Jonker, C. M., Ito, T.
Publication Date: 2021
Publication Place - Springer
Type Document
Language English
Digital Yes
Manuscript No
Library: Özyeğin University
Library Asset ID 978-981155868-9
Record ID b429de36-5bf5-44a3-b139-c17413981043
Library Location Computer Science
Date 2021
Notes Nederlandse Organisatie voor Wetenschappelijk Onderzoek
Sample Text 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
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ANAC 2017: Repeated multilateral negotiation league

Author Aydoğan, Reyhan, Fujita, K., Baarslag, T., Jonker, C. M., Ito, T.
Publication Date 2021
Publication Place - Springer
Type Document
Language English
Digital Yes
Manuscript No
Library Özyeğin University
Library Asset ID 978-981155868-9
Record ID b429de36-5bf5-44a3-b139-c17413981043
Library Location Computer Science
Date 2021
Notes Nederlandse Organisatie voor Wetenschappelijk Onderzoek
Sample Text 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
Özyeğin University - Ottoman library catalog search
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