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Computer-Generated Chess Problem 01873

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First published at 23:34 UTC on January 15th, 2019.

Chesthetica

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Consider this 'KRBNNPP vs kp' mate in 3 chess problem generated by Chesthetica using the computational creativity approach which doesn't use any kind of traditional AI or even deep learning. 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. The largest endgame tablebase in existence today is for 7 pieces (Lomonosov) which contains over 500 trillion positions, most of which have not been seen by human eyes. This problem with 9 pieces goes even beyond that and was therefore composed without any such help.

3R4/4p2N/8/4k3/1NK1B3/3P4/5P2/8 w - - 0 1
White to Play and Mate in 3
Chesthetica v10.59 : Selangor, Malaysia
2018.1.27 7:21:20 PM
Solvability Estimate = Easy

Remarkably, Chesthetica never composes duplicate problems using its DSNS technology. Did you find this one interesting or have something else to say? Leave a comment below! 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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