What we have here is a 'KQRB vs kqrbp' #5 chess problem generated autonomously by Chesthetica using the Digital Synaptic Neural Substrate (DSNS) computational creativity approach. It doesn't use endgame tablebases, deep learning or any kind of traditional AI. 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 9 pieces goes even beyond that and was therefore composed without any such help whatsoever.
White to Play and Mate in 5
Chesthetica v10.67 : Selangor, Malaysia
2018.5.27 3:14:51 PM
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. White actually has less material than Black. The white army is down by about 1 (Shannon) pawn units in value. If this one is too easy or too difficult for you, try out some of the others. As a whole, these problems are intended to cater to players of all skill levels. If you're bored of standard chess, though, why not try this?
Solution (Skip to 0:35)
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