Consider this 'KBN vs kp' five-move chess construct composed autonomously by the prototype computer program, Chesthetica, using the Digital Synaptic Neural Substrate (DSNS) computational creativity approach. It doesn't use endgame tablebases, neural networks or any kind of machine learning found in traditional AI. Depending on the type and complexity of the problem desired, a single instance of Chesthetica running on a desktop computer can probably generate anywhere between one and ten problems per hour.
White to Play and Mate in 5
Chesthetica v10.64 : Selangor, Malaysia
2018.5.19 8:34:51 AM
The chess problems are published chronologically based on the composition date and time. However, later compositions may have an earlier version of Chesthetica listed because more than one computer (not all running the same version of the program) is used. Okay, let me think for a minute if there's anything else to say here. 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.
Solution (Skip to 0:35)
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