Computer-Generated Chess Problem 02805

in #chess5 years ago

Now, here we have a 'KRRBP vs kqrpp' mate in 3 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. The chess board is a virtually limitless canvas for the expression of creative ideas (even by computer). The largest (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.

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8/4R3/6K1/6pB/7k/1R4rp/5P2/6q1 w - - 0 1
White to Play and Mate in 3
Chesthetica v11.55 (Selangor, Malaysia)
Generated on 28 Nov 2019 at 1:55:47 PM
Solvability Estimate = Difficult

White actually has less material than Black. The white army is down by about 2 (Shannon) pawn units in value. Try to solve this puzzle. Do try some of the others in the series as well before you go. 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. If you're bored of standard chess, though, why not try this?

Solution

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