Computer-Generated Chess Problem 02114

in #chess5 years ago

Now, this is a 'KRBPP vs krpp' mate in 4 chess construct composed autonomously by Chesthetica using the Digital Synaptic Neural Substrate (DSNS) computational creativity approach. The DSNS does not use endgame tablebases, neural networks or any kind of machine learning found in traditional artificial intelligence (AI). It also has nothing to do with deep learning. Noteworthy here is that a chess position with over 7 pieces could not have been derived or taken from an endgame tablebase because 7 pieces is the present limit.


kB6/p7/P7/2R1K3/8/2p5/1r1P4/8 w - - 0 1
White to Play and Mate in 4
Chesthetica v10.67 : Selangor, Malaysia
2018.5.28 7:52:32 AM
Solvability Estimate = Moderate

If you notice an earlier version of Chesthetica listed with a newer problem, that simply means an earlier version may have been running on a different computer or OS user account. Everything composed by Chesthetica is original. 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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