Computer-Generated Chess Problem 02879

Now, this is a 'KQBNN vs kqbn' chess construct generated 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. 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 a queen, rook and bishop vs. queen and two knights). (Read more about it on ChessBase: https://en.chessbase.com/tagged?tag=Chesthetica). The largest endgame tablebase in existence today is for 7 pieces (Lomonosov) which contains over 500 trillion positions, most of which have not been seen by human eyes. This problem with 9 pieces goes even beyond that and was therefore composed without any such help.

2K5/8/1N5B/b1k2N2/5Q2/7q/8/3n4 w - - 0 1
White to Play and Mate in 4
Chesthetica v11.64 (Selangor, Malaysia)
Generated on 30 Mar 2020 at 7:47:07 PM

White is significantly ahead in material. Leave a comment below, if you like. Some of these problems may be trivial for you, especially if you're a club or master player but bear in mind that chess lovers can be found at all levels of play. So do check out some of the other problems. You can probably find something more to your taste.

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

Artwork licensed under Creative Commons (CC0).