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 :



2024 AAAI / ACM SIGAI Doctoral Consortium interviews compilation

  20 Dec 2024
We collate our interviews with the 2024 cohort of doctoral consortium participants.

Interview with Andrews Ata Kangah: Localising illegal mining sites using machine learning and geospatial data

  19 Dec 2024
We spoke to Andrews to find out more about his research, and attending the AfriClimate AI workshop at the Deep Learning Indaba.

#NeurIPS social media round-up part 2

  18 Dec 2024
We pick out some highlights from the second half of the conference.

The Good Robot podcast: Machine vision with Jill Walker Rettberg

  17 Dec 2024
Eleanor and Kerry talk to Jill about machine vision's origins in polished volcanic glass, whether or not we'll actually have self-driving cars, and a famous photo-shopped image.

Five ways you might already encounter AI in cities (and not realise it)

  13 Dec 2024
Researchers studied how residents and visitors experience the presence of AI in public spaces in the UK.

#NeurIPS2024 social media round-up part 1

  12 Dec 2024
Find out what participants have been getting up to at the Neural Information Processing Systems conference in Vancouver.

Congratulations to the #NeurIPS2024 award winners

  11 Dec 2024
Find out who has been recognised by the conference awards.

Multi-agent path finding in continuous environments

and   11 Dec 2024
How can a group of agents minimise their journey length whilst avoiding collisions?




AIhub is supported by:






©2024 - Association for the Understanding of Artificial Intelligence


 












©2021 - ROBOTS Association