Computer-Generated Chess Problem 02435

Here is a 'KRNNP vs kqr' chess problem generated autonomously by a 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. (Learn more about the DSNS here: https://arxiv.org/abs/1507.07058). This position contains a total of 8 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.

4q3/5P1k/7r/7N/8/1R3NK1/8/8 w - - 0 1
White to Play and Mate in 3
Chesthetica v10.82 : Selangor, Malaysia
2018.12.16 12:11:35 PM

Composing a chess puzzle or problem requires creativity and it's not easy even for most humans. White actually has less material than Black. The white army is down by about 2 (Shannon) pawn units in value. Over time, the tactics you see in these puzzles will help you improve your game.

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

Artwork licensed under Creative Commons (CC0).