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2014/01/14, MC103, 12:10 - 12:40

Exploring Model-Driven Development of Game AI
Christopher Dragert , PhD Candidate, Games Research @ McGill (gr@m) lab

Abstract:

Game development is often an ad-hoc affair, focused more on performance and meeting deadlines than on writing maintainable and well-structured code. AI in particular is often highly customized to a specific game context, impairing reusability and verification. During my Ph.D. research, I explored how a model-driven approach to game AI can improve the development process. In this talk, I will present some of my major results, including the layered statechart-based AI formalism, which represents AI logic and behaviour in a fundamentally modular fashion. This approach leads naturally to effective reuse of AI behaviours, generative approaches to create varied NPC populations, tool support for managing development of game AI, and verification of AI behaviours through model-checking.