Computer-Generated Chess Problem 01988

in #chess5 years ago

A newly published and original KRBBN vs kbp mate in 4 chess puzzle or problem (whichever you wish to call it) composed by Chesthetica using the Digital Synaptic Neural Substrate (DSNS) computational creativity approach. It doesn't use endgame tablebases, deep learning or any kind of traditional AI. You can learn more about the DSNS here. Noteworthy here is that a chess position with over 7 pieces could not have been derived or taken from an endgame tablebase because 7 pieces is the present limit.


R2K2kN/3p4/8/5B1b/1B6/8/8/8 w - - 0 1
White to Play and Mate in 4
Chesthetica v10.63 : Selangor, Malaysia
2018.3.29 10:52:53 AM
Solvability Estimate = Difficult

If you notice an earlier version of Chesthetica listed with a newer problem, that simply means an earlier version may have been running on a different computer or OS user account. White has a decisive material advantage in this position but the winning sequence may not be immediately clear. If this one is too easy or too difficult for you, try out some of the others. Note that not all the chess problems are like this. They cover quite the spectrum of solving ability and there are over a thousand published already.

Solution (Skip to 0:35)

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