Computer-Generated Chess Problem 02101
An original 'KBBPP vs kbnp' chess problem generated by the 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. You can learn more about the DSNS here. This position contains a total of 9 pieces. The largest endgame tablebase in existence today is for 7 pieces (containing over 500 trillion positions anyway) which means the problem could not have been taken from it regardless.
White to Play and Mate in 4
Chesthetica v10.67 : Selangor, Malaysia
2018.5.23 1:45:45 AM
Some of the earliest chess problems by humans are over 10 centuries old but original ones by computer are very recent. White has a slight material advantage over Black. Do share and try out some of the others too. Over time, the tactics you see in these puzzles will help you improve your game.
Solution (Skip to 0:35)
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