There are a number of research challenges in the field of Automated Negotiation. The Ninth International Automated Negotiating Agent Competition aimed to encourage participants to develop effective negotiating agents, which can negotiate with multiple opponents more than once. This paper discusses essential research challenges for such negotiations as well as presenting the competition set-up and results. Results showed that winner agents mostly adopt hybrid bidding strategies and take their opponents' preferences as well as their strategy into account.

doi.org/10.1007/978-3-030-39878-1_8
Advances in Intelligent Systems and Computing
Representing Users in a Negotiation (RUN): An Autonomous Negotiator Under Preference Uncertainty
The 33rd Annual Conference of the Japanese Society for Artificial Intelligence, 2019
This work was funded by the The Netherlands Organisation for Scientific Research (NWO); grant id nwo/639.021.751 - Representing Users in a Negotiation (RUN): An Autonomous Negotiator Under Preference Uncertainty
Intelligent and autonomous systems

Aydoğan, R, Fujita, K., Baarslag, T, Jonker, C.M, & Ito, T. (2019). Repeated Multilateral Negotiation League. In Proceedings of the Annual Conference of the Japanese Society for Artificial Intelligence. doi:10.1007/978-3-030-39878-1_8