Interview With Alan Feng of Starcraft College Class Fame 46
An anonymous reader writes "GosuGamers has posted a very interesting interview with Alan Feng, talking about the course he is teaching on game theory when applied to Starcraft at the University of California at Berkeley. We discussed early news of the class back in January. 'I studied what I knew: history and mathematics. With my fairly good mathematics background, I came up with all sorts of equations, tables and charts to give me the best result in every case. For instance, I once worked out using the binomial theorem that it is slightly more beneficial to send new workers to the *edge* of a mining line rather than the center. Over the course of maybe 3 minutes, this kind of movement will let you mine about 300-500 more minerals than you normally would. Ultimately, I failed at my pro-gaming bid, but, my year of study of StarCraft gave me something that I think no other SC player can offer the academic world: rigorous proof and analysis. And because of my calculations, my proofs, and most importantly, the way I can connect these calculations to real-life examples I was able to present it in a way that Haas Business School would accept as a topic for teaching.'"
AI in RTS Games (Score:5, Informative)
Anyone interested in the serious (mathematical, formal proofs, etc.) side of RTS games may find the following an interesting companion read: ORTS [ualberta.ca]. The goal of this project is to develop an RTS platform that can serve as a testbed for real AI research. In other words, a supercomputer could play against you, or even help you by controlling some of your units (roll your own client).
I'm not involved with this project in any way, but it looks pretty exciting. It looks like a bunch of people who contributed to this project wound up at Bioware.