Computer-Generated Chess Problem 03146
Take a look at this 'KQRNP vs krnpp' mate in 4 chess problem generated autonomously by the program, Chesthetica, 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. Any chess position with this many pieces could not possibly have been obtained from known endgame databases. Chesthetica is therefore the real McCoy.
White to Play and Mate in 4
Chesthetica v12.18 (Selangor, Malaysia)
Generated on 31 Dec 2020 at 10:46:38 PM
White is over a rook's worth in material but the precise win in this position still needs to be found. Did you find this one interesting or have something else to say? Leave a comment below! Solving chess puzzles like this can be good for your health as it keeps your brain active. It may even delay or prevent dementia.
Solution