Computer-Generated Chess Problem 02020

Published online for the first time, consider this KRBBPP vs knp mate in 4 chess construct composed autonomously by Chesthetica using the computational creativity approach which doesn't use any kind of traditional AI or even deep learning. Chesthetica has the creative ability to compose positions on an 8x8 canvas that may otherwise take centuries to arise in an actual game, if ever. 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. This position contains a total of 9 pieces. The largest endgame tablebase in existence today is for 7 pieces (containing over 500 trillion positions anyway) which means the problem could not have been taken from it regardless.


6n1/P3B2P/4p3/KB2k3/5R2/8/8/8 w - - 0 1
White to Play and Mate in 4
Chesthetica v10.63 : Selangor, Malaysia
2018.4.10 7:45:22 AM
Solvability Estimate = Difficult

Humans have been composing original chess problems for over a thousand years. Now a computer can do it too. White is over a rook's worth in material but the precise win in this position still needs to be found. Hint: there might be a pawn promotion involved. Leave a comment below if you like. 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
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1 column
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