@Dugbug depends on the position :)
pawns value is all over the place. in general. since those values are meant as odds prediction hints.
material value is a mobility potential summary averaging over all human experience over games and their continuation under some quality of move.. let'hope that this is actually that. that would be the best.
so when pawn were not only cannon fodder anymore and could get some glory, the whole notion of pawn potential mobility, and its anterior value before promotion. the likelihood of it, at some depth , changing mobility rule class, would make its initial pawn value a position dependent but increasing function of depth (and rank). all the squabble and probability of being taken aside.
i hope this is more readable than my previous post (it is expressing some its points though).
note on my past terminology:
i fight between using the following words instead of "predictor" (it is an old machine learning fold i guess, but in chess, odds are also of meteorological prediction nature). predictor, determinant, defined, depend. extrapolation, dependent factor, intermediate or early signal (all from current position information, i just mean that the material counting thumb rule is used to estimate odds that of some undetermined chess time future will wining outcome). So feel free to replace predictor as necessary in my previous posit, if really wanting to read it).
material value is a mobility potential summary averaging over all human experience over games and their continuation under some quality of move.. let'hope that this is actually that. that would be the best.
so when pawn were not only cannon fodder anymore and could get some glory, the whole notion of pawn potential mobility, and its anterior value before promotion. the likelihood of it, at some depth , changing mobility rule class, would make its initial pawn value a position dependent but increasing function of depth (and rank). all the squabble and probability of being taken aside.
i hope this is more readable than my previous post (it is expressing some its points though).
note on my past terminology:
i fight between using the following words instead of "predictor" (it is an old machine learning fold i guess, but in chess, odds are also of meteorological prediction nature). predictor, determinant, defined, depend. extrapolation, dependent factor, intermediate or early signal (all from current position information, i just mean that the material counting thumb rule is used to estimate odds that of some undetermined chess time future will wining outcome). So feel free to replace predictor as necessary in my previous posit, if really wanting to read it).
forecasting. duh. when English not your native language. forecasting becomes prediction. (besides predicting what a training target function would give outside the training set, with accuracy of prediction being tested as generalization rather than pure extrapolation).
white. the black rook has no play and bishop e6 wins pawns.
@Seabass0_0 said in #25:
> white. the black rook has no play and bishop e6 wins pawns.
How?
Wait, are you talking to OP?
If not, you should ping the user you are talking to.
> white. the black rook has no play and bishop e6 wins pawns.
How?
Wait, are you talking to OP?
If not, you should ping the user you are talking to.
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