A newly published and original KQR vs krbpp mate in 4 chess puzzle created by a computer using the Digital Synaptic Neural Substrate (DSNS) computational creativity approach. It doesn't use endgame tablebases, deep learning or any kind of 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. Any chess position over 7 pieces could not possibly have been derived from an endgame tablebase which today is limited to 7 pieces.
White to Play and Mate in 4
Chesthetica v10.74 : Selangor, Malaysia
2018.8.31 7:42:09 AM
Composing a chess puzzle or problem requires creativity and it's not easy even for most humans. 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.
Main Line of the Solution (Skip to 0:35)
<| Amazon | BitChute | Minds | WordPress | YouTube |>