Computer-Generated Chess Problem 02869

in #chess21 days ago

Here is a new 'KRRBBP vs krb' #4 chess puzzle created by a computer 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. You can learn more about the DSNS here. 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 9 pieces could have been taken from such a database.


2R5/2B3Rb/8/5k2/8/3KP3/2B4r/8 w - - 0 1
White to Play and Mate in 4
Chesthetica v11.64 (Selangor, Malaysia)
Generated on 17 Mar 2020 at 9:37:45 AM
Solvability Estimate = Moderate

Chess puzzles are ancient. Some are over a thousand years old but only in the 21st century have computers been able to compose original ones on their own like humans can. White is over a rook's worth in material but the precise win in this position still needs to be found. Do share and try out some of the others too. Take some time to study the analysis and you might appreciate the puzzle a little more.