Automated Negotiating Agents Competition (ANAC2021)

To be held at IJCAI2021 in Montreal, Canada, from August 21st to August 26th, 2021 as a part of the IJCAI competition challenge

Overview of ANAC2021

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:

  • to provide an incentive for the development of effective and efficient negotiation protocols and strategies for bidding, accepting and opponent modeling for different negotiation scenarios;
  • to collect and develop a benchmark of negotiation scenarios, protocols and strategies;
  • to develop a common set of tools and criteria for the evaluation and exploration of new protocols and new strategies against benchmark scenarios, protocols and strategies;
  • to set the research agenda for automated negotiation.
The previous competitions have spawned novel research in AI in the field of autonomous agent design which are available to the wider research community.

This year, we introduce five different negotiation research challenges:

We expect innovative and novel agent strategies will be developed, and the submitted ANAC 2021 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 2021 agents.

Leagues in ANAC2021

Automated Negotiation League

Design a negotiation agent for bilateral negotiation that can learn from every previous encounters while the tournament progresses.

Human-Agent League

Explore the strategies, nuances, and difficulties in creating realistic and efficient agents whose primary purpose is to ‚Äčnegotiate with humans.‚Äč

Supply Chain Management League

Design and build an autonomous agent that negotiates on behalf of a factory manager situated in a supply chain management simulation.

Werewolf Game League

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.



NEC-AIST AI Cooperative Research Laboratory




ANAC Board Members

League Organizers

Sponsorship Chair in ANAC2021

Scientific Advisory Board



For any questions of ANAC2021, the main contact is Dr. Reyhan Aydogan reyhan.aydogan[at]