Published online for the first time, consider this KRRBN vs kqb chess problem generated autonomously by a computer program, Chesthetica, using the 'Digital Synaptic Neural Substrate' computational creativity approach which does not use any kind of deep learning. After years of development, Chesthetica is able to use the technology to express original creative thought in this domain. Note that it also never had millions of IBM or Google dollars behind it. You can learn about how these constructs are selected here.
White to Play and Mate in 3
Chesthetica v11.42 (Selangor, Malaysia)
Generated on 23 Sep 2019 at 5:33:18 AM
If you notice an earlier version of Chesthetica listed with a newer problem, that simply means an earlier version may have been running on a different computer or OS user account. White is significantly ahead in material. 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. Note that not all the chess problems are like this. They cover quite the spectrum of solving ability and there are thousands published already. If you're bored of standard chess, though, why not try this?
Solution
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