Computer-Generated Chess Problem 02017

Published online for the first time, consider this KRNN vs k #4 chess problem generated autonomously by the prototype computer program, Chesthetica, using the 'Digital Synaptic Neural Substrate' computational creativity method. It does not use endgame tablebases, artificial neural networks, machine learning or any kind of typical AI. There is also no proven limit to the quantity or type of legal compositions that can be automatically generated.

8/8/8/R5N1/3K3k/8/8/3N4 w - - 0 1
White to Play and Mate in 4
Chesthetica v10.63 : Selangor, Malaysia
2018.4.9 5:33:30 PM
Solvability Estimate = Moderate

White has a decisive material advantage in this position but the winning sequence may not be immediately clear. Do share and try out some of the others too. Solving chess puzzles like this is probably good for your health as it keeps your brain active. Nobody wants something like early-onset Alzheimer's.

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