Computer-Generated Chess Problem 02453

Here is a 'KPP vs kbn' three-move chess problem generated by the program, Chesthetica, 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. (Learn more about the DSNS here: https://arxiv.org/abs/1507.07058).

6nk/1K1P1P2/7b/8/8/8/8/8 w - - 0 1
White to Play and Mate in 3
Chesthetica v10.82 : Selangor, Malaysia
2018.12.27 12:46:52 AM

If you notice any version of Chesthetica 'skipped' from one problem to the next, that simply means additional (minor) changes were made to the program before it was set to run again. White actually has less material than Black yet still wins. The white army is down by about 4 (Shannon) pawn units in value. Do you think you could have composed something better with these pieces? Share in the comments and let us know how long it took you. 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.

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Artwork licensed under Creative Commons (CC0).