Computer-Generated Chess Problem 02179

Consider this 'KRBBNP vs kqbnp' mate in 3 chess puzzle or problem (whichever you wish to call it) composed by Chesthetica using the 'Digital Synaptic Neural Substrate' computational creativity approach which does not use any kind of deep learning. (Learn more about the DSNS here: https://arxiv.org/abs/1507.07058). The largest (Lomonosov) tablebase today is for 7 pieces which contains over 500 trillion positions. With each additional piece, the number of possible positions increases exponentially. It is therefore impossible that this problem with 11 pieces could have been taken from such a database.

2B1n1b1/5kp1/1q1RN3/6P1/1B6/5K2/8/8 w - - 0 1
White to Play and Mate in 3
Chesthetica v10.67 : Selangor, Malaysia
2018.6.29 7:13:08 AM

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 1 (Shannon) pawn units in value. If this one is too easy or too difficult for you, try out some of the others. Over time, the tactics you see in these puzzles will help you improve your game.

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