Computer-Generated Chess Problem 02245

Published online for the first time, consider this KRRBNN vs kbnp #3 chess puzzle created by Chesthetica using the Digital Synaptic Neural Substrate (DSNS) computational creativity approach. It doesn't use endgame tablebases, deep learning or any kind of traditional AI. Chesthetica is able to generate mates in 3, mates in 4, mates in 5, study-like constructs and also compose problems using specific combinations of pieces fed into it (e.g. instructing it to compose something using perhaps a queen vs. three knights). (Read more about it on ChessBase: https://en.chessbase.com/tagged?tag=Chesthetica).

3b4/6K1/N3k3/3RnN2/2p5/8/6R1/7B w - - 0 1
White to Play and Mate in 3
Chesthetica v10.74 : Selangor, Malaysia
2018.8.2 9:08:05 AM

Humans have been composing original chess problems for over a thousand years. Now a computer can do it too. White has a decisive material advantage in this position but the winning sequence may not be immediately clear. Try to solve this puzzle. Do try some of the others in the series as well before you go. Solving chess puzzles like this can also help improve your game.

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