Game Design for Classical AI

About the Talk

Reasoning using expressive symbolic representations is a central theme of Artificial Intelligence (AI) research, yet there are surprisingly few deployed games, even within the game AI research community, that use this sort of “classical” AI. This is partly due to practical and methodological issues, but also due to fundamental mismatches between current game genres and classical AI systems.

Ian Horswill will argue that if we want to build games that leverage high-end classical AI techniques like commonsense reasoning and natural language processing, we will also have to develop new game genres and mechanics that better exploit those capabilities. He will also present a design sketch of a game that explores potential game mechanics for classical AI.

About the Speaker

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Ian Horswill

is an Associate Professor of Computer Science at Northwestern University. He is a member of the Department of Electrical Engineering and Computer Science, where he is Director of the Division of Graphics and Interactive Media, and was co-founder of Northwestern’s Animate Arts Program. His research interests include interactive entertainment technologies and cognitive modeling for virtual characters, particularly modeling of emotion and personality.