Computer-Generated Chess Problem 02013
An original 'KQRR vs kbnnpp' four-move chess puzzle or problem (whichever you wish to call it) composed 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 v10.63 : Selangor, Malaysia
2018.4.7 10:09:22 AM
White is over a rook's worth in material but the precise win in this position still needs to be found. Leave a comment below if you like. Some of these problems may be trivial for you, especially if you're a club or master player but bear in mind that chess lovers can be found at all levels of play. So do check out some of the other problems. You can probably find something more to your taste.
Solution (Skip to 0:35)