Computer-Generated Chess Problem 02424
An original 'KRRBBBPP vs kqrbpp' chess construct composed autonomously by a computer program, Chesthetica, 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. There is no known limit to the quantity or type of compositions that can be generated. 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 4
Chesthetica v10.82 : Selangor, Malaysia
2018.12.9 8:35:57 PM
Chesthetica, especially if running on multiple computers or operating system user accounts, is capable of generating far too many compositions than can be published in a timely fashion here. The newer ones will therefore only be published some time later. This is why the composition date above does not match today's date. White has a slight material advantage over Black. Leave a comment below, if you like. Collectively, these puzzles are intended to cater to players of all levels.
Main Line of the Solution (Skip to 0:35)