Here is a new 'KQRBNP vs krrbn' chess problem generated autonomously by the prototype computer 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. Chesthetica is able to generate three-movers, four-moves, five-movers and study-like constructs and also compose problems using specific pieces types fed into it (e.g. compose something original using a knight versus three pawns). Read more about it on ChessBase. This position contains a total of 11 pieces. The largest endgame tablebase in existence today is for 7 pieces (containing over 500 trillion positions anyway) which means the problem could not have been taken from it regardless.
White to Play and Mate in 3
Chesthetica v11.58 (Selangor, Malaysia)
Generated on 18 Dec 2019 at 8:38:31 PM
White is significantly ahead in material. 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. Collectively, these puzzles are intended to cater to players of all levels. If you're bored of standard chess, though, why not try this?
Solution
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