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Computer-Generated Chess Problem 01945

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First published at 22:00 UTC on March 16th, 2019.

Chesthetica

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Here is a new 'KRRP vs kbnp' #4 chess puzzle created by Chesthetica using the Digital Synaptic Neural Substrate (DSNS) computational creativity approach. It doesn't use endgame tablebases, neural networks or any kind of machine learning found in traditional AI. Any chess position over 7 pieces could not possibly have been derived from an endgame tablebase which today is limited to 7 pieces.

7k/n7/3P4/1R6/6K1/6R1/6p1/7b w - - 0 1
White to Play and Mate in 4
Chesthetica v10.63 : Selangor, Malaysia
2018.3.8 6:03:08 AM
Solvability Estimate = Moderate

White is significantly ahead in material. It looks like the solution might involve a pawn promotion. If this one is too easy or too difficult for you, try out some of the others. As a whole, these problems are intended to cater to players of all skill levels.

LESS

Category	Gaming
Sensitivity	Normal - Content that is suitable for ages 16 and over

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