2019-06-04
ANAC 2018: Repeated Multilateral Negotiation League
Publication
Publication
Presented at the
The 33rd Annual Conference of the Japanese Society for Artificial Intelligence, 2019 (June 2019), Japan
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.
| Additional Metadata | |
|---|---|
| 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 | |
| Organisation | Intelligent and autonomous systems |
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Aydoğan, R., Fujita, K., Baarslag, T., Jonker, C., & Ito, T. (2019). ANAC 2018: Repeated Multilateral Negotiation League. In Proceedings of the Annual Conference of the Japanese Society for Artificial Intelligence (pp. 77–89). doi:10.1007/978-3-030-39878-1_8 |
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