Take a look at this ‘KQRBNN vs kqrnp’ chess construct composed autonomously by the prototype computer program, Chesthetica, using the Digital Synaptic Neural Substrate (DSNS) computational creativity approach. It doesn’t use endgame tablebases, deep learning or any kind of traditional AI. There is no known limit to the quantity or type of compositions that can be generated. Any chess position with this many pieces could not possibly have been obtained from known endgame databases. Chesthetica is therefore the real McCoy.
8/4K3/1r3R2/p7/3n4/1N5N/4k3/1QB1q3 w – – 0 1
White to Play and Mate in 4
Chesthetica v11.16 (Selangor, Malaysia)
Generated on 23 Apr 2019 at 11:58:15 AM
Solvability Estimate = Moderate
Composing a chess puzzle or problem requires creativity and it’s not easy even for most humans. White is significantly ahead in material. Try to solve this as quickly as you can. If you like it, please share with your friends. Collectively, these puzzles are intended to cater to players of all levels. If you’re bored of standard chess, though, why not try this?
Main Line of the Solution (Skip to 0:35)