Published online for the first time, consider this KRBNN vs kqbn chess construct composed autonomously by the prototype computer program, Chesthetica, 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. There is no known limit to the quantity or type of compositions that can be generated.
White to Play and Mate in 3
Chesthetica v10.98 (Selangor, Malaysia)
Generated on 3 Feb 2019 at 10:59:34 PM
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. The white army is down by about 1 (Shannon) pawn units in value. If this one is too easy or too difficult for you, try out some of the others. Note that not all the chess problems are like this. They cover quite the spectrum of solving ability and there are thousands published already.
Main Line of the Solution (Skip to 0:35)
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