Computer-Generated Chess Problem 02468

Contemplate this 'KQRNP vs krnp' three-move chess construct generated by the 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. (Learn more about the DSNS here: https://arxiv.org/abs/1507.07058). Any chess position over 7 pieces could not possibly have been derived from an endgame tablebase which today is limited to 7 pieces.

3nR3/K3P1k1/3N1pr1/8/1Q6/8/8/8 w - - 0 1
White to Play and Mate in 3
Chesthetica v10.90 : Selangor, Malaysia
2019.1.3 2:10:47 AM

Most changes to Chesthetica that result in a slightly higher 'version number' are simply to improve the interface, by the way. White is over a rook's worth in material but the precise win in this position still needs to be found. 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. Solving chess puzzles like this is probably good for your health as it keeps your brain active. Nobody wants something like early-onset Alzheimer's.

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

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