An original 'KBBNNPP vs kqbnpp' study-like chess puzzle created by a computer 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. The largest (Lomonosov) tablebase today is for 7 pieces which contains over 500 trillion positions. With each additional piece, the number of possible positions increases exponentially. It is therefore impossible that this problem with 13 pieces could have been taken from such a database. 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.
White to Play and Draw
Chesthetica v10.90 : Selangor, Malaysia
Generated on 3 Jan 2019 at 12:56:48 AM
White actually has less material than Black yet manages to play for a draw. The white army is down by about 3 (Shannon) pawn units in value. Try to solve this as quickly as you can. If you like it, please share with others. Solving chess puzzles like this can be good for your health as it keeps your brain active. It may even delay or prevent dementia.
Main Line of the Solution (Skip to 0:35)
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