CE23 - Intelligence artificielle et science des données 2024

Reasoning about Games for creating and refIning strategies – NOGGINS

Submission summary

The goal of this project is to build intelligent players that can learn and represent in a symbolic way strategies for playing games while considering different perspectives starting from “winning the game” to “being ethical”. To do so, agents will reason at first about the rules governing the games and second about prior knowledge about strategies. The agents will then be able to either (i) elaborate strategies by guiding the exploration of strategic moves or (ii) to adapt and refine existing strategies. Main benefit is that by mixing learning and reasoning, players can explain how they play; this is a critical issue for going further on building trustworthy AI.

Project coordination

Laurent Perrussel (Institut de Recherche en Informatique de Toulouse)

The author of this summary is the project coordinator, who is responsible for the content of this summary. The ANR declines any responsibility as for its contents.

Partnership

LTCI Laboratoire Traitement et Communication de l'Information
IRIT Institut de Recherche en Informatique de Toulouse
LAMSADE Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision
GREYC Groupe de recherche en Informatique, Image, Automatique et Instrumentation de Caen

Help of the ANR 566,315 euros
Beginning and duration of the scientific project: December 2024 - 42 Months

Useful links

Explorez notre base de projets financés

 

 

ANR makes available its datasets on funded projects, click here to find more.

Sign up for the latest news:
Subscribe to our newsletter