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Computer-Generated Chess Problem 01837

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First published at 23:29 UTC on December 10th, 2018.

Chesthetica

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Take a look at this 'KRBNN vs kp' 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. Depending on the type and complexity of the problem desired, a single instance of Chesthetica running on a desktop computer can probably generate anywhere between one and ten problems per hour.

6N1/7k/K5N1/8/8/1RB2p2/8/8 w - - 0 1
Chesthetica v10.57 : Selangor, Malaysia
White to Play and Mate in 4 : 2018.1.4 12:14:44 AM
Solvability Estimate = Easy

White has a decisive material advantage in this position but the winning sequence may not be immediately clear. Try to solve this puzzle in time or just pause the video. At the end of the video, you will see the solution played out. This is followed by some analysis. Do try some of the others in the series as well before you go. Feel free to copy the position into a chess engine and discover even more variations of the solution.

Related Books: https://www.amazon.com/Azlan-Iqbal

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