Computer-Generated Chess Problem 01842

in #chess5 years ago

Take a look at this 'KRNP vs knnppp' mate in 4 chess construct composed autonomously by 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. The largest (i.e. Lomonosov) tablebase today is for 7 pieces which contains over 500 trillion positions. With each additional piece, the number of possible positions increases exponentially. It is therefore impossible that this problem with 10 pieces could have been taken from such a database.

board_position.jpg

7k/RK4p1/8/6Pn/5p2/3N4/n3p3/8 w - - 0 1
White to Play and Mate in 4
Chesthetica v10.57 : Selangor, Malaysia
2018.1.5 7:07:16 PM
Solvability Estimate = Difficult

Chesthetica, especially if running on multiple computers or operating system user accounts, is capable of generating far too many compositions than can be published in a timely fashion here. The newer ones will therefore only be published some time later. This is why the composition date above does not match today's date. Chesthetica composes only unique or new constructs. If you have seen it before, cite the source and comment below because it is purely coincidental. Do share and try out some of the others too. Feel free to copy the position into a chess engine and discover even more variations of the solution.

Solution (Skip to 0:35)

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