Computer-Generated Chess Problem 01869
Consider this 'KQRB vs kqn' mate in 3 chess problem generated by 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. Depending on the type and complexity of the problem desired, a single instance of Chesthetica running on a desktop computer can probably generate anywhere between one and ten problems per hour.
White to Play and Mate in 3
Chesthetica v10.59 : Selangor, Malaysia
2018.1.25 9:41:25 PM
White is significantly ahead in material. Try to solve this puzzle. Do try some of the others in the series as well before you go. Collectively, these puzzles are intended to cater to players of all levels.
Solution (Skip to 0:35)