Artificial and Computational Intelligence in Games: Revolutions in Computational Game AI: Report from Dagstuhl Seminar 19511

Abstract

The 2016 success of Google DeepMind’s AlphaGo, which defeated the Go world champion, and its follow-up program AlphaZero, has sparked a renewed interest of the general public in computational game playing. Moreover, game researchers build upon these results to construct stronger game implementations. While there is high enthusiasm for the rapid advances to the state-of-the-art in game AI, most researchers realize that they do not suffice to solve many of the challenges in game which have been recognized for decades. The Dagstuhl Seminar 19511 Artificial and Computational Intelligence in Games: Revolutions in Computational Game AI seminar was aimed at getting a clear view on the unsolved problems in game AI, determining which problems remain outside the reach of the state-of-the-art, and coming up with novel approaches to game construction to deal with these unsolved problems. This report documents the program and its outcomes.