The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/19161851

Tim Baarslag (2022): Results from the Automated Negotiating Agents Competition (ANAC 2019). Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/19161851.v1

Dataset

• Artificial Intelligence and Image Processing

ANAC, artificial intelligence, automated negotiation, autonomous agents, multi-agent systems

CC BY 4.0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Tim Baarslag

The Automated Negotiating Agent Competition (ANAC) is an international tournament that has been running since 2010 to bring together researchers from the negotiation community. In 2019, we introduced five different negotiation research challenges:

• Automated Agents League: Agent Negotiation with Partial Preferences
• Human-Agent League
• Supply Chain Management League
• Diplomacy League
• Werewolf Game League

This dataset contains the results from the Automated Negotiating Agents Competition 2019, including overall individual and joint utility calculations.

• 2022-02-16 first online, published, posted

4TU.ResearchData

MS Excel, .xlsx

Challenges and Main Results of the Automated Negotiating Agents Competition (ANAC) 2019

• https://link.springer.com/chapter/10.1007/978-3-030-66412-1_23

• Representing Users in a Negotiation (RUN): An Autonomous Negotiator Under Preference Uncertainty (grant code 639.021.751) [more info...] Dutch Research Council

Centrum Wiskunde & Informatica, Utrecht University