Computer-Generated Chess Problem 03634

in #chess2 years ago

Now, this is a 'KQRBB vs kbbp' chess puzzle by the program, Chesthetica, using the DSNS computational creativity approach which does not use any kind of machine or deep learning. Chesthetica is able to generate mates in two, mates in three, mates in four, mates in five, study-like constructs and also compose problems using specific combinations of pieces fed into it (e.g., to compose something using a rook, bishop, knight and three pawns vs. a queen and a rook). Read more about it on ChessBase. Any chess position over seven pieces would likely not have been derived from an endgame tablebase which today is limited to seven pieces. Work has only recently begun on one for eight pieces.

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8/3R4/4p3/5bb1/Q1B1k3/8/2K5/B7 w - - 0 1
White to Play and Mate in 3
Chesthetica v12.51 (Selangor, Malaysia)
Generated on 29 Mar 2022 at 2:51:18 AM
Solvability Estimate = Difficult

Composing a chess puzzle or problem requires creativity and it's not easy even for most humans. White has a decisive material advantage in this position but the winning sequence may not be immediately clear. Leave a comment below if you like. Take some time to study the analysis and you might appreciate the puzzle a little more.

Solution

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