Computer-Generated Chess Problem 04000

This is an original 'KQNP vs kqrbp' four-move chess puzzle 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. Any chess position over seven pieces would likely not have been derived from an endgame tablebase which today is limited to seven pieces. Work has only recently begun on one for eight pieces.

8/2Pr4/4p3/2Q5/kN3q2/2K5/8/7b w - - 0 1
White to Play and Mate in 4
Chesthetica v12.64 (Selangor, Malaysia)
Generated on 23 Jan 2023 at 11:35:09 AMSolvability Estimate = Moderate
Composing a chess puzzle or problem requires creativity and it's not easy even for most humans. What was the machine 'thinking' when it came up with this? Leave a comment below if you like. 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.
Solution