An original 'KRBB vs kqbn' four-move chess construct composed autonomously 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 complete (Lomonosov) tablebase today is for seven pieces which contains over 500 trillion positions. With each additional piece, the number of possible positions increases exponentially. It is therefore unlikely that this problem with eight pieces could have been taken from such a database.
White to Play and Mate in 4
Chesthetica v12.56 (Selangor, Malaysia)
Generated on 30 Jun 2022 at 1:16:01 PM
Even with the same version number, each copy of Chesthetica 'evolves' and may perform somewhat differently over time. White actually has less material than Black yet still wins. The white army is down by about four (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. Anyway, if standard chess isn't your thing, you might instead like SSCC.
Solution
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