The Automated Negotiating Agent Competition (ANAC) is an international tournament that has been running since 2010 to bring together researchers from the negotiation community. ANAC provides a unique benchmark for evaluating practical negotiation strategies in multi-issue domains and has the following aims:
This year, we introduce five different negotiation research challenges:
We expect innovative and novel agent strategies will be developed, and the submitted ANAC 2020 agents will serve as a negotiating agent repository to the negotiation community. The researchers can develop novel negotiating agents and evaluate their agents by comparing their performance with the performance of the ANAC 2020 agents.
Representing users in a negotiation: developing an agent that can negotiate while performing preference elicitation.
Explore the strategies, nuances, and difficulties in creating realistic and efficient agents whose primary purpose is to negotiate with humans.
Design and build an autonomous agent that negotiates on behalf of a factory manager situated in a supply chain management simulation.
Build an agent that is able to build consensus with other actors (who are potentially deceptive), identify agents of the opposing team and coordinate to vote them out of the game.
Render as avatars on a display, and the human interacts with them by speaking (in English) and looking at the one with whom they wish to negotiate.