Here is a 'KRBNNPPPP vs kbbppppp' study-like construct or chess problem generated by 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. You can learn more about the DSNS here. Noteworthy here is that a chess position with over 7 pieces could not have been derived or taken from an endgame tablebase because 7 pieces is the present limit. The accuracy of the main line presented for this study in the solution depends on the engine used and analysis time. The constructed position shown is nevertheless original.
Chesthetica v10.74 : Selangor, Malaysia
White to Play and Win : 2018.8.19 10:02:03 AM
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 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! Solving chess puzzles like this is probably good for your health as it keeps your brain active. Nobody wants something like early-onset Alzheimer's.
Main Line of the Solution (Skip to 0:35)
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