A ‘KRNNP vs kqbnp’ #4 chess problem generated autonomously by a computer using the Digital Synaptic Neural Substrate (DSNS) computational creativity approach. It doesn’t use endgame tablebases, neural networks or any kind of machine learning found in traditional AI. 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. This position contains a total of 10 pieces. The largest endgame tablebase in existence today is for 7 pieces (containing over 500 trillion positions anyway) which means the problem could not have been taken from it regardless.
6k1/qR6/3K4/3Np3/3N1b2/3nP3/8/8 w – – 0 1
White to Play and Mate in 4
Chesthetica v11.16 (Selangor, Malaysia)
Generated on 27 Apr 2019 at 12:58:39 PM
Solvability Estimate = Moderate
If you notice an earlier version of Chesthetica listed with a newer problem, that simply means an earlier version may have been running on a different computer or OS user account. White actually has less material than Black. The white army is down by about 4 (Shannon) pawn units in value. If this one is too easy or too difficult for you, try out some of the others. As a whole, these problems are intended to cater to players of all skill levels.
Main Line of the Solution (Skip to 0:35)