Automated Negotiating Agents Competition (ANAC2020)

To be held as part of the IJCAI2020 competition challenge
15th January, 8am-1pm (UTC), Theater

NEWS (January 14th, 2021)

ANAC 2020 program is uploaded: here

ANAC 2020 will be held online in the same week of the IJCAI2020. The detailed information will be announced later. We as the ANAC board are working hard to manage the current situation by contacting with IJCAI2020 organizers and will continue to keep you updated as we learn more (December 3rd, 2020).

Finalists of all leagues are uploaded: here

COVID-19 update - New submission deadline: 14th July, 2020.

ANAC 2020 will go ahead, with more than 70 registered participants so far. ANAC will be held in conjunction with IJCAI 2020, which will be held in January 2021. The deadline for submitting agents to each ANAC league is postponed until 14th July, 2020. The winners of each league will be announced in January 2021 during IJCAI - either live or digitally. We will announce a set of finalists in August 2020 (tentative). A select number of finalists will be invited to publish their agent descriptions in the Journal Knowledge Engineering Review. We aim to provide student support to travel to IJCAI. We as the ANAC board are working hard to manage the current situation and will continue to keep you updated as we learn more.


Overview of ANAC2020

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 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.

Leagues in ANAC2020

Automated Negotiation League

Representing users in a negotiation: developing an agent that can negotiate while performing preference elicitation.

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.


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.



You can find the finalist for each league. The ordering does not reflect the actual ranking. They are sorted alphabetically. Note that the actual ranking will be announced in ANAC session during the IJCAI 2020 (January 2021).

Automated Negotiation League

13 submissions

  • Agentkt: Brown University, United States
  • AhBuNeAgent: Ozyegin University, Turkey
  • ANGELparty: The University of Tulsa, United States
  • Hammingagent: Tokyo University of Agriculture and Technology, Japan
  • Shineagent: Bar-Illan University, Israel

Human-Agent League

15 submissions

  • ANACNegoGuide: University of Southern Calfornia, United States
  • Dona: Independent
  • Draft: University of Tulsa, United States
  • Reni: College of Management Academic Studies, Israel
  • Super: College of Management Academic Studies, Israel

Supply Chain Management League

22 submissions

[Standard League]

  • Agent30: BIU, Israel
  • BeerAgent: BIU, Israel
  • CrescentAgent: Nitech, Japan
  • GreedyFactoryManager2: TUAT, Japan
  • Merchant: NEC, Japan
  • MMM: TUAT, Japan
  • MontyHall: Brown University, USA
  • SavingAgent: Nitech, Japan
  • SteadyMgr: Nitech, Japan
  • THBiuAgent: BIU, Israel
  • UnicornAgent: Valencian Research Institute for AI, Spain
  • WhAgent: Nitech, Japan
[Collusion League]
  • Agent30: BIU, Israel
  • CrescentAgent: Nitech, Japan
  • Merchant: NEC, Japan
  • MMM: TUAT, Japan
  • SteadyMgr: Nitech, Japan
  • WhAgent: Nitech, Japan

Werewolf Game League

[AIWol NLP Task] 6 entries

  • AzuEmon: Kyoto University, Japan
  • CanisLupus: Hokkaido University, Japan
  • ForestLab: Independent, Japan
  • kanolab: Shizuoka University, Japan
  • suadere: Independent, Japan
  • Udon: Independent, Japan
[Protocol Task] 45 entries
  • Camellia: Aichi Prefectural University, Japan
  • cube: Kougakuin University, Japan
  • daisyo: Aichi Institute of Technology, Japan
  • Foxufoxu: Independent, France
  • HALU: Kyoto University, Japan
  • J0hnDoe: University of Tsukuba Sakado High School, Japan
  • otsuki: Yamagata University, Japan
  • PaSeRi: Independent
  • Sashimi: Tsukuba University, Japan
  • simipu: Shizuoka University, Japan
  • takeda: Tokyo University, Japan
  • Tomato: Independent, Japan
  • Tomo: Shizuoka University, Japan
  • Udon: Independent, Japan
  • wasabi: Independent, Japan


5 submissions + 1 baseline agent

  • bonnie-agent:Rensselaer Polytechnic Institute (RPI), United States
  • companion-agent: Ozyegin University, Turkey
  • humaine-agent-2020: University of Tulsa, United States


ANAC2020 Program

15th January, 8am-1pm (UTC), Theater (Zoom online meeting)

UTC CET(UTC+1) Turkey(UTC+3) Japan(UTC+9) EST(UTC-4)
Welcome: 10 min 8:00am-8:10am 9:00am 11:00am 5:00pm 3:00am
Automated Negotiation League: 40 min 8:10am-8:50am 9:10am 11:10am 5:10pm 3:10am
Break: 15 min 8:50am-9:05am 9:50am 11:50am 5:50pm 3:50am
Supply Chain Management League: 40 min 9:05am-9:45am 10:05am 12:05pm 6:05pm 4:05am
Break: 15 min 9:45am-10:00am 10:45am 12:45pm 6:45pm 4:45am
WereWolf Game League: 40 min 10:00am-10:40am 11:00am 1:00pm 7:00pm 5:00am
Break: 20 min 10:40am-11:00am 11:40am 1:40pm 7:40pm 5:40am
Human-Agent League: 40 min 11:00am-11:40am 12:00pm 2:00pm 8:00pm 6:00am
HUMAINE: 40 min 11:40am-12:20pm 12:40pm 2:40pm 8:40pm 6:40am
Discussion: 40 min 12:20pm-1:00pm 1:20pm 3:20pm 9:20pm 7:20am

The session in each league will be include:



Artificial Intelligence



ANAC Board Members

League Organizers

Sponsorship Chair in ANAC2020

Scientific Advisory Board



For any questions of ANAC2020, the main contact is Dr. Reyhan Aydogan reyhan.aydogan[at]