What we have here is a 'KRR vs kp' chess problem generated autonomously by the program, Chesthetica, using the Digital Synaptic Neural Substrate (DSNS) computational creativity approach. It doesn't use endgame tablebases, neural networks or any kind of machine learning found in traditional AI. Chesthetica is able to generate mates in 3, mates in 4, mates in 5, study-like constructs and also compose problems using specific combinations of pieces fed into it. Read more about it on ChessBase.
Chesthetica v10.56 : Selangor, Malaysia
White to Play and Mate in 4 : 2017.10.30 10:15:40 AM
White is over a rook's worth in material but the precise win in this position still needs to be found. Did you find this one interesting or have something else to say? Leave a comment below! Over time, the tactics you see in these puzzles will help you improve your game.
Facebook | Twitter | Kindle E-book | Website