Computer-Generated Chess Problem 02333

A new if not unique KNPP vs kqbpp three-move chess problem generated 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 position below contains 9 pieces which means it simply could not have been derived even from an existing endgame tablebase which is presently limited to 7 pieces.

4k1K1/2bp2PP/3q1pN1/8/8/8/8/8 w - - 0 1
White to Play and Mate in 3
Chesthetica v10.82 : Selangor, Malaysia
2018.10.24 6:13:58 PM

Some of the earliest chess problems by humans are over 10 centuries old but original ones by computer are very recent. White actually has less material than Black. The white army is down by about 9 (Shannon) pawn units in value. Looking at the position, it is somewhat cluttered. 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.

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