Author: Bruce Moreland
Date: 10:35:17 11/16/00
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On November 16, 2000 at 10:28:47, Bob Durrett wrote: >On November 16, 2000 at 09:07:23, walter irvin wrote: > >>to me programs fall into 2 list bean counters and knowledge based . >>bean counters >>fritz >>junior >>nimzo >>lg2000a >> >>knowledge based >>shredder >>hiarcs >>rebel >>tiger >>diep >>crafty >>king >> >>now you would think that the knowledge based programs would destroy bean >>counters .but that is usually not the case .bean counters are some of the best >>and strongest .which makes me wonder if trying to put so much knowledge in a >>program really makes it better .i think that depth of search would count for >>more than knowledge . > >If one assumes that about half of the total computation time is used for >position evaluation in the "knowledge based" programs, then what percentage >would make sense for "bean counter" programs? > >Isn't the real difference between "knowledge based" and "bean counter" programs >just the percentage of total time used for position evaluation? High >percentage, like 50%, would be "knowledge based" and low percentage would be >"bean counter"? [percentage of time would be an average over an entire game or >over several different types of games] > >Perhaps "average depth of search in a given amount of time" could also be used >as a criteria for deciding on how to classify a program, "knowledge based" >versus "bean counter." Why is evaluation more intelligent than search? If you have a program with a very simple search, that spends a large percentage of its time in evaluation, and you make the search more clever, so that a higher percentage of the time is spent in search, did the program become dumber? And what about programs that do incremental evaluation? A good incremental evaluation should produce the same results as the same evaluation carried out at the tips, and it should do it more quickly. Is this program dumber? I think that one of the greatest wastes of time is trying to assign categories to these programs. bruce
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