Computer-Generated Chess Problem 01812
A newly published and original KRNNP vs kp mate in 5 chess problem generated autonomously by 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. Depending on the type and complexity of the problem desired, a single instance of Chesthetica running on a desktop computer can probably generate anywhere between one and ten problems per hour.
Chesthetica v10.57 : Selangor, Malaysia
White to Play and Mate in 5 : 2017.12.28 1:15:37 AM
White has a decisive material advantage in this position but the winning sequence may not be immediately clear. See if you can solve this puzzle within 30 seconds or hit pause and take your time. The solution is provided after that followed by some analysis. If this one is too easy or too difficult for you, try out some of the others. Solving chess puzzles like this can also help improve your game. Anyway, if standard chess isn't your thing, you might instead like SSCC.
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