Among numerous possibles applications of Artificial Intelligence, games are convenient and efficient testbeds to develop innovating techniques and methods. By games, we mean every game playable through a computer: video games, board games, serious games, etc.
Behind the fun side, games propose a simplified environment regarding to the real world, while remaining rich enough to also propose scientifically pertinent problems: understanding of a dynamic environment, knowledge extraction, decision-making upon incomplete information, planning, cooperation, learning or mimicking credible behaviors, optimization, path-finding, etc.
Many of these problems are common to others research fields such as robotics, but games offer a greater flexibility: thanks to their dematerialized nature, these environments are inexpensive, transportable, need no physical maintenance and propose a highly controllable time flow (accelerated, paused, etc).
Topics of interest for this special track on Game AI include, but are not limited to:
Carole Adam (Universite de Grenoble)
Stephane Cardon (Saint-Cyr Coetquidan)
Tristan Cazenave (Universite Paris Dauphine), Chair
Mike Cook (Goldsmiths University of London)
Eric Jacopin (Saint-Cyr Coetquidan)
Mehdi Kaytoue (Insa Lyon)
Arnaud Lallouet (Huawei Technologies Ltd.)
Philippe Mathieu (Universite Lille 1)
Santiago Ontanon (Drexel University)
Eric Piette (Universite d'Artois)
Chedy Raissi (Inria Nancy Grand-Est)
Florian Richoux (Universite de Nantes), Chair
Abdallah Saffidine (University of New South Wales)
Ruck Thawonmas (Ritsumeikan University)