Here is a new 'KRBBNN vs knnp' chess problem generated autonomously by a computer using the computational creativity approach which doesn't use any kind of traditional AI or even deep learning. 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. Read more about it on ChessBase. 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 v10.63 : Selangor, Malaysia
2018.3.15 5:57:07 AM
White has a decisive material advantage in this position but the winning sequence may not be immediately clear. Why not time yourself how long it took you to solve this? Collectively, these puzzles are intended to cater to players of all levels. If you're bored of standard chess, though, why not try this?
Solution (Skip to 0:35)
< | Facebook | Twitter | Get the Book | Website | Reddit| >