Generating Trading Agent Strategies

Google TechTalks January 17, 2006 Daniel M. Reeves Daniel Reeves recently completed his PhD in Computer Science at the University of Michigan as a student of Michael Wellman and is now (temporarily) a lecturer at Michigan, teaching Knowledge-Based Systems (Lisp, Prolog, and Mathematica for AI Programming). His most active area of research is the application of game-theoretic and computational techniques to strategic behavior in games, particularly for eCommerce-inspired market mechanisms. He is one of the creators of and top competitors in the international Trading Agent Competition. Dr Reeves is also one of the top ultra-marathon inline skaters in the US and climbs stairs...