GDC AI Summit: Embracing the Dark Art of Mathematical Modeling in AI

In 2010, Kevin Dill and Dave Mark delivered a lecture on using utility theory in game AI. In this year’s session, “Embracing the Dark Art of Mathematical Modeling in AI” Kevin and Dave dig deeper into the nuts and bolts of how to use those concepts.

From the GDC session description:

Utility-based AI is a widely-used approach, particularly for games with deeper or more complex behavior. While new users may find utility functions complex and intimidating, experienced users see them as a natural and comfortable way to express behavior. In a follow-up of their 2010 lecture, Kevin Dill and Dave Mark will show how simple problems can be laid out quickly and easily using common design patterns. Additionally, they will show how complex situations can make use of utility functions to express more nuanced behavior. They will then walk through real-world examples, showing how they would be expressed in a utility-based architecture.

Kevin Dill – Staff Software Engineer, Lockheed Martin Global Training & Logistics

Kevin Dill is a staff software engineer at the Lockheed Martin Advanced Simulation Center. He is a recognized expert on Game AI and a veteran of the game industry, with seven published titles under his belt. He was the technical editor for Introduction to Game AI and “Behavioral Mathematics for Game AI“, and a section editor for AI Game Programming Wisdom 4. He has taught classes on game development and game AI at Harvard University, Boston University, and Worcester Polytechnic Institute.

Dave Mark – President & Lead Designer, Intrinsic Algorithm

Dave is the President and Lead Designer of Intrinsic Algorithm, an independent game development studio and AI consulting company in Omaha, Nebraska. He is the author of the book “Behavioral Mathematics for Game AI” and is a contributor to the “AI Game Programming Wisdom” and “Game Programming Gems” book series from Charles River Media. Dave is also a founding member of the AI Game Programmers Guild and has spoken at numerous conferences including being a co-advisor for the previous AI Summits at GDC. He continues to further his education by attending the University of Life. He has no plans to graduate any time soon.


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One Response to GDC AI Summit: Embracing the Dark Art of Mathematical Modeling in AI

  1. Pingback: Dave’s Lectures at GDC AI Summit « Intrinsic Algorithm News

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