Contemplate this 'KRNNP vs knp' mate in 3 chess construct composed autonomously by a 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. You can learn more about the DSNS here. The largest (Lomonosov) tablebase today is for 7 pieces which contains over 500 trillion positions. With each additional piece, the number of possible positions increases exponentially. It is therefore impossible that this problem with 8 pieces could have been taken from such a database.
White to Play and Mate in 3
Chesthetica v11.64 (Selangor, Malaysia)
Generated on 3 Apr 2020 at 5:29:37 PM
Chess puzzles are ancient. Some are over a thousand years old but only in the 21st century have computers been able to compose original ones on their own like humans can. What was the machine 'thinking' when it came up with this? Leave a comment below, if you like. 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
<| Book | DTube | Facebook | Instagram | Twitter | Website |>