Building Human-Level AI for Real-Time Strategy Games
Ben G. Weber, Michael Mateas, Arnav H. Jhala · 2011
Video games are complex simulation environments with many real-world properties that need to be addressed in order to build robust intelligence. In particular, real-time strategy games provide a multi-scale challenge which requires both deliberative and reactive reason-ing processes. Experts approach this task by studying a corpus of games, building models for anticipating op-ponent actions, and practicing within the game environ-ment. We motivate the need for integrating heteroge-neous approaches by enumerating a range of competen-cies involved in gameplay and discuss how they are be-ing implemented in EISBot, a reactive planning agent that we have applied to the task of playing real-time strategy games at the same granularity as humans.