Computer-Generated Chess Problem 02197

Here is a new 'KQRBNPPP vs kqrrbnp' study construct, chess puzzle or problem (whichever you wish to call it) composed by a computer using the 'DSNS' computational creativity approach which does not use any kind of machine or deep learning. Chesthetica is able to use the technology to express original creative thought in this domain. It also never had behind it a team of highly skilled programmers, consultants or the kind of hardware millions of IBM or Google dollars could buy. You can learn more about the DSNS here. The largest (Lomonosov) tablebase today is for 7 pieces which contains over 500 trillion positions. With each additional piece, the number of possible positions increases exponentially. It is therefore impossible that this problem with 15 pieces could have been taken from such a database. 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
Chesthetica v10.69 : Selangor, Malaysia
White to Play and Win : 2018.7.7 11:53:53 PM

If you notice an earlier version of Chesthetica listed with a newer problem, that simply means an earlier version may have been running on a different computer or OS user account. White actually has less material than Black yet still wins. The white army is down by about 3 (Shannon) pawn units in value. If this one is too easy or too difficult for you, try out some of the others. Collectively, these puzzles are intended to cater to players of all levels.

Solution (Skip to 0:35)

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H2
H3
H4
3 columns
2 columns
1 column
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