Computer-Generated Chess Problem 03139

in #chesslast month

Published online for the first time, consider this KQRNNP vs kqrrbbnn chess construct composed autonomously by the program, Chesthetica, using the 'Digital Synaptic Neural Substrate' computational creativity approach which does not use any kind of deep learning. There is no known limit to the quantity or type of compositions that can be generated. 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 14 pieces could have been taken from such a database.


3b4/rn1Kn3/5Q2/2k5/RN1Nb3/2r3P1/8/4q3 w - - 0 1
White to Play and Mate in 5
Chesthetica v12.18 (Selangor, Malaysia)
Generated on 29 Dec 2020 at 7:24:32 PM
Solvability Estimate = Difficult

Humans have been composing original chess problems for over a thousand years. Now a computer can do it too. White actually has less material than Black. The white army is down by about 10 (Shannon) pawn units in value. If this one is too easy or too difficult for you, try out some of the others. Take some time to study the analysis and you might appreciate the puzzle a little more. Anyway, if standard chess isn't your thing, you might instead like SSCC.