Computer-Generated Chess Problem 02186

Consider this 'KRRP vs kbppp' chess construct 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. The position below contains 9 pieces which means it simply could not have been derived even from an existing endgame tablebase which is presently limited to 7 pieces.

R7/7b/8/5k2/K2PR3/1p5p/5p2/8 w - - 0 1
White to Play and Win
Chesthetica v10.67 : Selangor, Malaysia
2018.7.1 10:15:44 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. 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.

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