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.
|Title of host publication||Advances in Automated Negotiations, ACAN 2018|
|Editors||Takayuki Ito, Minjie Zhang, Reyhan Aydogan|
|Publisher||Springer Science+Business Media|
|Number of pages||15|
|Publication status||Published - 2021|
|Event||11th International Workshop on Automated Negotiation, ACAN 2018 - Stockholm, Sweden|
Duration: 13 Jul 2018 → 19 Jul 2018
|Name||Studies in Computational Intelligence|
|Conference||11th International Workshop on Automated Negotiation, ACAN 2018|
|Period||13/07/18 → 19/07/18|
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