A newly published and original KQRRBBPP vs kqrrbnnpp study-like construct or chess problem generated autonomously by a computer using the 'Digital Synaptic Neural Substrate' computational creativity method. It does not use endgame tablebases, artificial neural networks, machine learning or any kind of typical AI. There is no known limit to the quantity or type of compositions that can be generated. 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 17 pieces could have been taken from such a database. The solution shown for this study may not be the best line possible because it depends on the engine that was used and how much time it had to analyze. Regardless, the first move and overall evaluation (e.g. win, draw) should be right.
White to Play and Win
Chesthetica v11.75 (Selangor, Malaysia)
Generated on 17 Jun 2020 at 5:16:58 AM
Chesthetica, especially if running on multiple computers or operating system user accounts, is capable of generating far too many compositions than can be published in a timely fashion here. The newer ones will therefore only be published some time later. This is why the composition date above does not match today's date. White actually has less material than Black yet still wins. The white army is down by about 3 (Shannon) pawn units in value. Did you find this one interesting or have something else to say? Leave a comment below! Some of these problems may be trivial for you, especially if you're a club or master player but bear in mind that chess lovers can be found at all levels of play. So do check out some of the other problems. You can probably find something more to your taste.
Solution
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