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, ACAN 2018 |
Editors | Takayuki Ito, Minjie Zhang, Reyhan Aydogan |
Publisher | Springer |
Pages | 101-115 |
Number of pages | 15 |
ISBN (Print) | 9789811558689 |
DOIs | |
Publication status | Published - 2021 |
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 |
Conference
Conference | 11th International Workshop on Automated Negotiation, ACAN 2018 |
---|---|
Country/Territory | Sweden |
City | Stockholm |
Period | 13/07/18 → 19/07/18 |
Bibliographical note
Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-careOtherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.