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A 'KRBNNP vs kqp' #5 chess construct generated by the program, 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. Chesthetica is able to generate mates in 3, mates in 4, mates in 5, study-like constructs and also compose problems using specific combinations of pieces fed into it (e.g. instructing it to compose something using perhaps two queens vs. four rooks). (Read more about it on ChessBase: https://en.chessbase.com/tagged?tag=Chesthetica). 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.
8/8/B3K3/2kN1p2/8/3P1NR1/8/q7 w - - 0 1
White to Play and Mate in 5
Chesthetica v11.14 (Selangor, Malaysia)
Generated on 19 Apr 2019 at 1:20:32 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. Get a glimpse into the 'mind' of a computer composer. Try to solve this puzzle. Do try some of the others in the series as well before you go. Note that not all the chess problems are like this. They cover quite the spectrum of solving ability and there are thousands published already.
Related Books: http://amazon.com/author/azlan_iqbal
Artwork licensed under Creative Commons (CC0).
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