Now, here we have a 'KBNN vs kp' chess problem generated 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 also no proven limit to the quantity or type of legal compositions that can be automatically generated.
White to Play and Mate in 4
Chesthetica v10.74 : Selangor, Malaysia
2018.8.7 7:19:10 AM
Chess puzzles are ancient. Some are over a thousand years old but only in the 21st century have computers been able to compose original ones on their own like humans can. Everything composed by Chesthetica is original. Did you find this one interesting or have something else to say? Leave a comment below! Feel free to copy the position into a chess engine and discover even more variations of the solution.
Main Line of the Solution (Skip to 0:35)
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