Consider this 'KQBNP vs kqrp' #4 chess problem generated autonomously by Chesthetica using the 'Digital Synaptic Neural Substrate' computational creativity approach which does not use any kind of deep learning. Chesthetica is able to generate various types of mates and study-like constructs and also compose problems using specific combinations of pieces fed into it (e.g. to compose something using a rook, bishop, knight and three pawns vs. a queen and a rook). Learn more about it on ChessBase. The largest endgame tablebase in existence today is for 7 pieces (Lomonosov) which contains over 500 trillion positions, most of which have not and never will be seen by human eyes. This problem with 9 pieces goes even beyond that and was therefore composed without any such help whatsoever.
White to Play and Mate in 4
Chesthetica v10.69 : Selangor, Malaysia
2018.7.13 9:49:54 PM
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. As a whole, these problems are intended to cater to players of all skill levels.
Main Line of the Solution (Skip to 0:35)
<| Amazon | BitChute | Minds | WordPress | YouTube |>