When Are We Done with Games? Niels Justesen Michael S. Debus Sebastian Risi IT University of Copenhagen IT University of Copenhagen IT University of Copenhagen Copenhagen, Denmark Copenhagen, Denmark Copenhagen, Denmark
[email protected] [email protected] [email protected] Abstract—From an early point, games have been promoted designed to erase particular elements of unfairness within the as important challenges within the research field of Artificial game, the players, or their environments. Intelligence (AI). Recent developments in machine learning have We take a black-box approach that ignores some dimensions allowed a few AI systems to win against top professionals in even the most challenging video games, including Dota 2 and of fairness such as learning speed and prior knowledge, StarCraft. It thus may seem that AI has now achieved all of focusing only on perceptual and motoric fairness. Additionally, the long-standing goals that were set forth by the research we introduce the notions of game extrinsic factors, such as the community. In this paper, we introduce a black box approach competition format and rules, and game intrinsic factors, such that provides a pragmatic way of evaluating the fairness of AI vs. as different mechanical systems and configurations within one human competitions, by only considering motoric and perceptual fairness on the competitors’ side. Additionally, we introduce the game. We apply these terms to critically review the aforemen- notion of extrinsic and intrinsic factors of a game competition and tioned AI achievements and observe that game extrinsic factors apply these to discuss and compare the competitions in relation are rarely discussed in this context, and that game intrinsic to human vs.