Author: rasjid chan
Date: 09:28:36 06/20/05
Go up one level in this thread
provided:-
R(mtd)=benefit-of-mtd/cost-of-eval-granularity-reduction > 1.0
I am no expert, but the idea of MTD don't seem appealing when we need to start
with a "guess" and then the prospect of being kicked and proded many times.
Most likely we need to wait for a genius if it can be made to work better then
PVS. Nature is not very generous. It has provided a round wheel of PVS search
and to get something more round don't help much. Maybe...
Most who have an elaborate eval() assume their eval() is sensitive to greater
than 1/10 pawn but it may not be. If there are 30 critical eval() factor, then
missing 5 may be serious. Further, who can have perfect eval() tuning. So
we may say very few can say their eval() is sensitive to 1/10 pawn.
If this is the case then mtd may have a chance. Between strong programs, it
is like a waiting game of who make the first blunder when score goes from 0.2
to -0.4, then to -0.8..-1.3...
MTD, when we have eval()/10 is like maximizing on it's opportunistic nature
and it waits at 0.2 and remain inactive from 0.11 to 0.29 but pounced when it
goes to 0.3/0.4...0.7... 1.4 when then the weakness of mtd do not matter any
more.
I doubt any one tested with eval()/10. I can't test at the moment as I have
disabled research.
Best Regards
Rasjid
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