Over the last 40 years, game AI professionals have crafted many architectures to allow humans to program agent behavior in video games. These game AI architectures can be thought of as domain specific languages with the goal of being powerful, scalable, modular, expressive, concise, easy to debug, and easy to reason about. We’ll take a tour through a handful of architectures in this unique field and see how each manages to excel. While not directly applicable outside of the game industry, hopefully clever aspects resonate with your own problem space and offer inspiration for your current or future challenges.To view the full video you must have a CMG membership. Sign up today!
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Neil Gunther, M.Sc., Ph.D., is a world-renowned expert, the author of several books, and the...Find out more