An original 'KRBNN vs k' #5 chess problem generated autonomously by the prototype computer program, Chesthetica, using the Digital Synaptic Neural Substrate (DSNS) computational creativity approach. The DSNS does not use endgame tablebases, neural networks or any kind of machine learning found in traditional artificial intelligence (AI). It also has nothing to do with deep learning. 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. compose something original using a knight versus three pawns). Read more about it on ChessBase.
White to Play and Mate in 5
Chesthetica v10.63 : Selangor, Malaysia
2018.4.17 3:03:41 PM
A seemingly earlier version of Chesthetica on a problem composed later (based on the date and time stamp) simply means that version may have been running on a different computer or operating system user account. White has a decisive material advantage in this position but the winning sequence may not be immediately clear. Leave a comment below if you like. Solving chess puzzles like this can also help improve your game. If you're bored of standard chess, though, why not try this?
Solution (Skip to 0:35)
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