Computer-Generated Chess Problem 02935

in #chess4 years ago

Published online for the first time, consider this KRRNN vs kqr chess problem generated by the program, Chesthetica, using the 'Digital Synaptic Neural Substrate' computational creativity approach which does not use any kind of deep learning. There is no known limit to the quantity or type of compositions that can be generated. Any chess position over 7 pieces could not possibly have been derived from an endgame tablebase which today is limited to 7 pieces.

image.png

8/5K2/2R5/4R3/q7/7N/7r/5k1N w - - 0 1
White to Play and Mate in 4
Chesthetica v11.70 (Selangor, Malaysia)
Generated on 27 May 2020 at 5:14:29 PM
Solvability Estimate = Moderate

Most changes to Chesthetica that result in a slightly higher 'version number' are simply to improve the interface, by the way. White has a slight material advantage over Black. If this one is too easy or too difficult for you, try out some of the others. Feel free to copy the position into a chess engine and discover even more variations of the solution.

A Similar Chess Problem by Chesthetica: 00219,

Solution

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