It can't be. He was probably studying the general game, not Go. The score in Go is additive, if the score is territory. 2-steps approach make some sense, but not in general situation. At each step the pendlum swings to one side is the nature of the game. Nothing wrong with it. One gets the same problem with single step evaluation too. This problem is to be solved by deeper search. Daniel Liu -----Original Message----- From: [EMAIL PROTECTED] To: computer-go@computer-go.org Sent: Tue, 10 Apr 2007 1:46 AM Subject: Re: [computer-go] Noise reduction in alpha-beta search
Ingo Althoeffer has published some time ago a theoretical article about this idea. He called it "telescope" evaluation. According his theorectical findings is the error propagation not better than the usual approach. Chrilly ----- Original Message ----- From: [EMAIL PROTECTED] To: computer-go@computer-go.org Sent: Monday, April 09, 2007 4:48 PM Subject: [computer-go] Noise reduction in alpha-beta search I think following is a way to reduce the noise in alpha-beta search. Instead of using the evaluation values, use the cummulative evaluation values. That is the sum of the evaluation values of each node of the playing path under examination. Daniel Liu AOL now offers free email to everyone. Find out more about what's free from AOL at AOL.com. _______________________________________________ computer-go mailing list computer-go@computer-go.org http://www.computer-go.org/mailman/listinfo/computer-go/ _______________________________________________ computer-go mailing list computer-go@computer-go.org http://www.computer-go.org/mailman/listinfo/computer-go/ ________________________________________________________________________ AOL now offers free email to everyone. Find out more about what's free from AOL at AOL.com.
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