This is an original 'KQRBP vs kqbnn' three-move chess construct composed autonomously by a computer using the Digital Synaptic Neural Substrate (DSNS) computational creativity approach. The DSNS does not use endgame tablebases, neural networks or any kind of machine learning found in traditional artificial intelligence (AI). It also has nothing to do with deep learning. Noteworthy here is that a chess position with over 7 pieces could not have been derived or taken from an endgame tablebase because 7 pieces is the present limit.
White to Play and Mate in 3
Chesthetica v11.85 (Selangor, Malaysia)
Generated on 10 Aug 2020 at 5:13:44 PM
If you notice any version of Chesthetica 'skipped' from one problem to the next, that simply means additional (minor) changes were made to the program before it was set to run again. Get a glimpse into the 'mind' of a computer composer. Try to solve this as quickly as you can. If you like it, please share with others. Take some time to study the analysis and you might appreciate the puzzle a little more. If you're bored of standard chess, though, why not try this?
Solution
<| Book | DTube | Facebook | Instagram | Twitter | Website |>