Computer-Generated Chess Problem 02357
An original 'KRBN vs knpp' #4 chess problem generated by a 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. The largest endgame tablebase in existence today is for 7 pieces (Lomonosov) which contains over 500 trillion positions, most of which have not and never will be seen by human eyes. This problem with 8 pieces goes even beyond that and was therefore composed without any such help whatsoever.
White to Play and Mate in 4
Chesthetica v10.82 : Selangor, Malaysia
2018.11.7 4:44:10 PM
If you notice any version of Chesthetica 'skipped' from one problem to the next, that simply means additional (minor) changes were made to the program before it was set to run again. White is over a rook's worth in material but the precise win in this position still needs to be found. Try to solve this as quickly as you can. If you like it, please share with others. Over time, the tactics you see in these puzzles will help you improve your game.
Main Line of the Solution (Skip to 0:35)
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