DLS - Professor Simon Lucas - 2pm - Rapid Learning in General Video Game AI
Open to: Academic, Alumni, Public, Student Admission: Free Ticketing:
Title: Rapid Learning in General Video Game AI
Games have long provided an excellent test bed for AI. As AI becomes super-human at even the most challenging games (already Chess, Go; StarCraft will be next), so the interest in general game playing increases as a test of more general intelligence. In this talk I’ll outline the main ways to pose the challenge for General Video Game AI, and show how this is leading on to new approaches for statistical simulation based decision making algorithms and noisy optimisation methods that make best use of a limited sampling budget, as well as new applications in automated game design.
Simon Lucas is a professor of Computer Science in the School of Computer Science and Electronic Engineering at the University of Essex (UK) where he is the Head of School and leads the Game Intelligence Group. He holds a PhD degree (1991) in Electronics and Computer Science from the University of Southampton. His main research interests are games, evolutionary computation, and machine learning, and he has published widely in these fields with over 200 peer-reviewed papers. He is the inventor of the scanning n-tuple classifier, is the founding Editor-in-Chief of the IEEE Transactions on Computational Intelligence and AI in Games and co-founded the IEEE Conference on Computational Intelligence and Games. His main research area now is developing and applying computational intelligence techniques to build better game AI, better games, and provide deep insights into the nature of intelligence.