ΑΙhub.org
 

#IJCAI2019 mini-interviews – Claus Aranha from University of Tsukuba


by
14 August 2019



share this:

Meet Claus Aranha, Assistant Professor at the University of Tsukuba, Center of Artificial Intelligence Research (C-AIR).

What are you presenting at IJCAI?
I am organizing the werewolf track ANAC Competition.

 

Can you tell me more about ANAC?
ANAC stands for Automated Agent Negotiation Competition<sup>1</sup>. It is a competition where AI Agents negotiate with each other and/or humans. We have 6 leagues this year – Supply Chain Management, Werewolf (a social party game), Diplomacy (a board game), Human-Agent League, Agent-Agent League: Agent Negotiation with Partial Preferences and the GENIUS league.

 

What is the real world impact of agents negotiating with each other?
Take for example the Supply Chain Management (SCM) league. Right now in the SCM industry many stakeholders – from people who sell the raw material, to factories which produce goods, to shops who sell them are involved. Each one has their preferences on what they wish to get out of the deal and what they are ready to compromise on. They have to coordinate (i.e. negotiate) with each other all the time for timelines, prices, quantities, etc. It is a cumbersome and cognitively heavy job! 

Imagine a group of AI agents representing each stakeholder does this for you. Wouldn’t things become easier?

 

You said something about the werewolf track. Could you say more?
It is a social party game where agents are supposed to find who the werewolf is<sup>2</sup> in a setting where agents lie to each other and/or hide the truth about themselves. How can an agent deal with other agents who behave this way while the agent itself is also deceiving other agents — It is a hard challenge!

We had 90 teams this year out of which 70 sent an agent to the competition. We have 15 finalists and the top three will be discussed tomorrow (August 15)! Keep an eye out 🙂

 

How can I get involved?
Check out the AI Wolf project page3. You can also get some sample code here – https://github.com/caranha/AIWolfCompo

 

1http://web.tuat.ac.jp/~katfuji/ANAC2019/

2https://en.wikipedia.org/wiki/Mafia_(party_game)

3http://aiwolf.org/en/




Rahul Divekar is a PhD Candidate at the Department of Computer Science at Rensselaer Polytechnic Institute.
Rahul Divekar is a PhD Candidate at the Department of Computer Science at Rensselaer Polytechnic Institute.




            AIhub is supported by:


Related posts :



AI UK 2025 conference recordings now available to watch

  11 Apr 2025
Listen to the talks from this year's AI UK conference.

#AAAI2025 workshops round-up 2: Open-source AI for mainstream use, and federated learning for unbounded and intelligent decentralization

  10 Apr 2025
We hear from the organisers of two workshops at AAAI2025 and find out the key takeaways from their events.

Accelerating drug development with AI

  09 Apr 2025
Waterloo researchers use machine learning to predict how new drugs could affect the body

ChatGPT’s Studio Ghibli-style images show its creative power – but raise new copyright problems

  08 Apr 2025
Social media has recently been flooded with images that look like they belong in a Studio Ghibli film.

#AAAI2025 invited talk round-up 1: labour economics, and reasoning about spatial information

  07 Apr 2025
We give a flavour of two plenary talks from the AAAI conference in Philadelphia.

Everything you say to an Alexa speaker will now be sent to Amazon

  04 Apr 2025
This change was implemented on 28 March 2025.

End-to-end data-driven weather prediction

  04 Apr 2025
A new AI weather prediction system, developed by a team of researchers, can deliver accurate forecasts.

Interview with Joseph Marvin Imperial: aligning generative AI with technical standards

  02 Apr 2025
Joseph tells us about his PhD research so far and his experience at the AAAI 2025 Doctoral Consortium.




AIhub is supported by:






©2024 - Association for the Understanding of Artificial Intelligence


 












©2021 - ROBOTS Association