Here is a new 'KRRN vs kp' #4 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, 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 (e.g. to compose something using a rook, bishop, knight and three pawns vs. a queen and a rook). Read more about it on ChessBase.
White to Play and Mate in 4
Chesthetica v10.63 : Selangor, Malaysia
2018.3.19 5:10:16 PM
White has a decisive material advantage in this position but the winning sequence may not be immediately clear. Why not time yourself how long it took you to solve this? Solving chess puzzles like this can also help improve your game.
Solution (Skip to 0:35)
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