IEEE Fort Worth Section Computational Intelligence Society Chapter Present: Computational Intelligence in Games Presenter: Dr. Risto Miikkulainen is a Professor of Computer Sciences at the University of Texas at Austin. His recent research focuses on methods for evolving neural networks and applying these methods to game playing, robotics, and intelligent control. He is an author of over 350 articles on neuroevolution, connectionist natural language processing, and the computational neuroscience of the visual cortex. He is an associate editor of IEEE Transactions on Computational Intelligence and AI in Games and Cognitive Systems Research, and a member of the Board of Governors of the International Neural Networks Society. Abstract: Whereas early research on game playing focused on utilizing search and logic in board games, machine-learning-based techniques have recently become a viable alternative, particularly for video games. In many such games, intelligent behavior can be naturally captured through interaction with the environment, and techniques such as evolutionary computation, neural networks, and reinforcement learning are well suited for this task. In particular, neuroevolution, i.e. constructing neural network agents through evolutionary methods, was recently used to construct agents that were indistinguishable from human players in the BotPrize competition, (i.e. a Turing Test for game bots). In this talk, I will review recent advances inneuroevolution, and demonstrate how it can be used to constructhuman-competitive agents in various kinds of games such as Othello, Unreal Tournament, and Ms.\ Pac-Man, as well as construct new games in the general genre of ``machine learning games.'' When: Wednesday July 22nd 2015 (6:15 PM to 8:30 PM) Where: The University of Texas at Arlington Nedderman Hall Room 105, 1st Floor, Cooper St. at UTA Blvd, Arlington – 76010 Refreshments will be provided RSVP Required by COB Tuesday, July 21st to: ademola.adejokun@gmail.com