First published at 00:22 UTC on November 12th, 2019.
An original 'KBBBNNP vs kppp' chess problem generated autonomously by the prototype computer program, Chesthetica, using the 'Digital Synaptic Neural Substrate' computational creativity approach which does not use any kind of dee…
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An original 'KBBBNNP vs kppp' chess problem generated autonomously by the prototype computer program, Chesthetica, using the 'Digital Synaptic Neural Substrate' computational creativity approach which does not use any kind of deep learning. After years of development, Chesthetica is able to use the technology to express original creative thought in this domain. Note that it also never had millions of IBM or Google dollars behind it. 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. compose something original using a knight versus three pawns). (Read more about it on ChessBase: https://en.chessbase.com/tagged?tag=Chesthetica).
8/2B5/2p5/1B2P3/6N1/p6k/p1B1K3/3N4 w - - 0 1
White to Play and Mate in 5
Chesthetica v10.82 : Selangor, Malaysia
2018.12.9 10:50:44 PM
Chesthetica, especially if running on multiple computers or operating system user accounts, is capable of generating far too many compositions than can be published in a timely fashion here. The newer ones will therefore only be published some time later. This is why the composition date above does not match today's date. White has a decisive material advantage in this position but the winning sequence may not be immediately clear. If this one is too easy or too difficult for you, try out some of the others. Solving chess puzzles like this can also help improve your game.
Related Books: http://amazon.com/author/azlan_iqbal
Artwork licensed under Creative Commons (CC0).
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