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AI Lecture Series – Julian Togelius
October 25, 2019 @ 2:00 pm - 3:00 pm
New York University
Friday, October 25, 2019
1:30pm – refreshments
2:00pm – lecture
Host: Rogelio Cardona-Rivera
AI for Games and Games for AI
Abstract: Since the inception of artificial intelligence (AI), games have been central to the endeavor. Board games like Chess, Checkers and Go have spurred the development of key concepts in search, planning, machine learning. In the last decade and half, however, there has been a movement towards using video games as environments for AI development. It turns out video games have a much broader repertoire of challenges for game-playing algorithms than classic board games. At the same time, researchers have begun studying not only how to use games to further AI research, but also AI to further game design and development. In this talk, I will give a high-level overview of this field, and give examples from my lab and others’ of how AI can be used to play games, generate game content, model players, generate tutorials, and even help designing complete games.
Bio: Julian Togelius is an Associate Professor in the Department of Computer Science and Engineering, New York University, USA. He works on artificial intelligence for games and on games for artificial intelligence. His current main research directions involve search-based procedural content generation in games, general video game playing, player modeling, and fair and relevant benchmarking of AI through game-based competitions. He is the Editor-in-Chief of IEEE Transactions on Games. Togelius holds a BA from Lund University, an MSc from the University of Sussex, and a PhD from the University of Essex. He has previously worked at IDSIA in Lugano and at the IT University of Copenhagen.