Published online for the first time, consider this KBNNP vs krb mate in 4 chess problem generated by the 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. There is also no proven limit to the quantity or type of legal compositions that can be automatically generated. The largest endgame tablebase in existence today is for 7 pieces (Lomonosov) which contains over 500 trillion positions, most of which have not been seen by human eyes. This problem with 8 pieces goes even beyond that and was therefore composed without any such help.
White to Play and Mate in 4
Chesthetica v10.75 : Selangor, Malaysia
2018.9.17 9:08:11 PM
Composing a chess puzzle or problem requires creativity and it's not easy even for most humans. White has a slight material advantage over Black. Do you think you could have composed something better with these pieces? Share in the comments and let us know how long it took you. Solving chess puzzles like this can also help improve your game. If you're bored of standard chess, though, why not try this?
Main Line of the Solution (Skip to 0:35)
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