Computer-Generated Chess Problem 02680

Contemplate this 'KRRN vs kppp' mate in 4 chess puzzle created by the prototype computer program, Chesthetica, using the Digital Synaptic Neural Substrate (DSNS) computational creativity approach. It doesn't use endgame tablebases, neural networks or any kind of machine learning found in traditional AI. There is no known limit to the quantity or type of compositions that can be generated. Any chess position over 7 pieces could not possibly have been derived from an endgame tablebase which today is limited to 7 pieces.

8/1N6/pp6/5R2/k7/p7/8/R3K3 w - - 0 1
White to Play and Mate in 4
Chesthetica v11.20 (Selangor, Malaysia)
Generated on 30 May 2019 at 7:58:00 AM

Humans have been composing original chess problems for over a thousand years. Now a computer can do it too. Chesthetica composes only unique or new constructs (learn more here: https://en.chessbase.com/post/azlan-iqbal-introducing-chess-constructs). If this one is too easy or too difficult for you, try out some of the others. Some of these problems may be trivial for you, especially if you're a club or master player but bear in mind that chess lovers can be found at all levels of play. So do check out some of the other problems. You can probably find something more to your taste.

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

Artwork licensed under Creative Commons (CC0).