A 'KRBNN vs krpp' mate in 5 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. 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 5
Chesthetica v10.82 : Selangor, Malaysia
2018.11.29 1:54:31 PM
What was the machine 'thinking' when it came up with this? Did you find this one interesting or have something else to say? Leave a comment below! Feel free to copy the position into a chess engine and discover even more variations of the solution.
Main Line of the Solution (Skip to 0:35)
<| Amazon | BitChute | Minds | WordPress | YouTube |>