Computer-Generated Chess Problem 02197

Here is a 'KQRBNPPP vs kqrrbnp'study (learn more here: https://en.chessbase.com/post/best-chess-constructs-by-chessbase-readers) chess construct generated by the prototype computer program, Chesthetica, using the 'Digital Synaptic Neural Substrate' computational creativity method. It does not use endgame tablebases, artificial neural networks, machine learning or any kind of typical AI. The chess board is a virtually limitless canvas for the expression of creative ideas (even by computer). (Learn more about the DSNS here: https://arxiv.org/abs/1507.07058). The largest endgame tablebase in existence today is for 7 pieces (Lomonosov) which contains over 500 trillion positions, most of which have not been seen by human eyes. This problem with 15 pieces goes even beyond that and was therefore composed without any such help. Any analysis shown for this study could be flawed as chess engines may change their recommendations given more time. The first or key move, at least, is probably right.

2q3Q1/1r6/5KN1/1P2pn2/1B6/5P1R/2r1bP2/1k6 w - - 0 1
White to Play and Win
Chesthetica v10.69 : Selangor, Malaysia
2018.7.7 11:53:53 PM

Everything composed by Chesthetica is original. Leave a comment below if you like. Collectively, these puzzles are intended to cater to players of all levels.

Related Books: http://amazon.com/author/azlan_iqbal