Computer-Generated Chess Problem 03173

in #chess3 years ago

Contemplate this 'KRN vs kbppp' mate in 4 chess construct composed autonomously by a computer 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). Depending on the type and complexity of the problem desired, a single instance of Chesthetica running on a desktop computer can probably generate anywhere between one and ten problems per hour.

image.png

2R5/kpK5/p7/1p6/8/4N3/2b5/8 w - - 0 1
White to Play and Mate in 4
Chesthetica v12.19 (Selangor, Malaysia)
Generated on 15 Jan 2021 at 9:36:26 AM
Solvability Estimate = Difficult

White has a slight material advantage over Black. Try to solve this as quickly as you can. If you like it, please share with others. As a whole, these problems are intended to cater to players of all skill levels.

Solution

Coin Marketplace

STEEM 0.17
TRX 0.15
JST 0.029
BTC 57102.05
ETH 2348.73
USDT 1.00
SBD 2.33