Computer-Generated Chess Problem 02324

in #chess5 years ago

A newly published and original KQBN vs kqbp five-move chess problem generated autonomously by Chesthetica 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. 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 (such as using only two bishops versus knight). Read more about it on ChessBase. 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 8 pieces goes even beyond that and was therefore composed without any such help.


3q4/8/6K1/2p5/b4k1N/Q7/8/7B w - - 0 1
White to Play and Mate in 5
Chesthetica v10.82 : Selangor, Malaysia
2018.10.19 11:59:25 AM
Solvability Estimate = Easy

White has a slight material advantage over Black. Do you think you could have composed something better with these pieces? Share in the comments and let us know how long it took you. Collectively, these puzzles are intended to cater to players of all levels. Anyway, if standard chess isn't your thing, you might instead like SSCC.

Main Line of the Solution (Skip to 0:35)

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