Author: Robert Henry Durrett
Date: 05:40:10 06/04/02
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On June 04, 2002 at 02:11:40, Russell Reagan wrote: >I've always heard, better algorithms will beat the fastest code using a less >efficient algorithm any day (IE MinMax vs. Alpha-Beta). My question is, when do >you stop working on algorithmic type stuff and start working solely on adding >knowledge to your program, and focus solely on the evaluation function? Or is >there a even point at which you stop working on things like search and only >focus on evaluation? Interesting would be a breakout of the "evaluation" topic into two subtopics: (a) How to perform a position evaluation and (b) How the information obtained is utilized by the program. Bob D. > >To me, it seems like there is only so much you can do in terms of improving the >searching methods, improving the efficiency of various other functions that are >used often (is square attacked, make move, generate legal moves, etc.). Do you >ever reach a point where the only thing left to significantly improve is the >evaluation function? > >If someone could advise a good plan for what to work on, kind of a step by step >thing, I would love to see what others think of this process. Maybe a sort of >"basics" check list, like Alpha-beta, transposition table, null move, etc. I'm >nearing the point at which my engine will be working, and I'm reaching the "what >next?" stage. An example of what I'm thinking is "I've implemented alpha-beta. >What am I supposed to do to improve the alpha-beta algorithm?" Perhaps I'm >misunderstanding what people mean when they talk about "improving algorithms" >instead of "optimizing". > >I'm kind of looking for some general advice as to what to do after the engine is >successfully up and running, playing without any major known bugs. Do I take a >step back and work on improving those often used functions, or do I move ahead >and begin implementing new things like null move? > >Thanks in advance for all of your comments and advice. > >Russell
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