A 'KQRN vs kqpp' 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. 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 v11.02 (Selangor, Malaysia)
Generated on 9 Mar 2019 at 3:33:34 AM
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.
Main Line of the Solution (Skip to 0:35)
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