Computer-Generated Chess Problem 02218
Consider this 'KRBBN vs krpp' #4 chess problem generated 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 (Lomonosov) tablebase today is for 7 pieces which contains over 500 trillion positions. With each additional piece, the number of possible positions increases exponentially. It is therefore impossible that this problem with 9 pieces could have been taken from such a database.
White to Play and Mate in 4
Chesthetica v10.69 : Selangor, Malaysia
2018.7.16 8:19:30 PM
Composing a chess puzzle or problem requires creativity and it's not easy even for most humans. White is over a rook's worth in material but the precise win in this position still needs to be found. 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. Over time, the tactics you see in these puzzles will help you improve your game.
Main Line of the Solution (Skip to 0:35)