Computer-Generated Chess Problem 03159

in #chess3 years ago

Published online for the first time, consider this KQNPP vs kqrbp chess problem generated 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 position below contains 10 pieces which means it simply could not have been derived even from an existing endgame tablebase which is presently limited to 7 pieces.

image.png

8/Pp6/2q5/Pk6/4N3/1K6/1Q3b2/7r w - - 0 1
White to Play and Mate in 4
Chesthetica v12.18 (Selangor, Malaysia)
Generated on 5 Jan 2021 at 12:59:40 PM
Solvability Estimate = Moderate

Composing a chess puzzle or problem requires creativity and it's not easy even for most humans. If this one is too easy or too difficult for you, try out some of the others. Feel free to copy the position into a chess engine and discover even more variations of the solution.

Solution

Coin Marketplace

STEEM 0.29
TRX 0.12
JST 0.033
BTC 62937.86
ETH 3092.40
USDT 1.00
SBD 3.87