Teaching and Learning Computer-Intelligent Games

Games, whether created for entertainment, simulation, or education, provide great opportunities for machine learning (ML). Due to game engine design limitations and the rapid game development and publication cycle, current commercial game engines don’t offer the opportunity for developers to integrate true machine-intelligence algorithms to personalize a complete game play experience. Although open-source application programming interfaces have been developed to connect game builds to external ML frameworks and tools, like player experience modeling (PEM) or adaptive non-player character behaviors, their effective uses have been imperfect outside of scholarly research. PEM involves the observation, analysis, and simulation of a player’s actions and tactical and strategic decisions, all modulated by behaviors discovered in game play across a single game, level, quest, or checkpoint. The chapter then discusses The State of Artificial-Intelligence (AI) in game engine integration. AI-focused learning game engine where the AI engine is at the center of the game engine design entirely hosted in a cloud server.