Author: Michael Neish
Date: 18:04:15 10/11/00
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Thanks to the three of you who replied to my question. I knew about using GA's to tune the evaluation parameters, but I was mainly wondering whether they (and NN's) had been applied more directly, i.e., to recognising patterns on the board itself. About human NPS, I think it's very difficult to estimate such a value, since most players have their own mental database which recognises patterns and knows intuitively what they mean. In this way they can make fast decisions without really calculating anything, which probably counts as a few tens of thousands of nodes, or more. Well fast searching is certainly winning at the moment. Who knows about the future. At the risk of being stamped on quite heavily, I don't think it counts as AI, since it's just a higgledy-piggledy way of throwing a mass of empirical rules of thumb together in a way that seems to play good Chess. I just thought it might be fun to write a program that uses a different technique, even if its strength initially goes down about a thousand points! It might never make it up again, but at least one will have learned a lot doing it. Have any of you tried a different approach to the problem? Cheers, Mike.
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