A new if not unique KQRB vs knnpp chess problem generated by a computer program, 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. There is no known limit to the quantity or type of compositions that can be generated. 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.
8/1R6/5nkp/n7/3K1Q1p/8/1B6/8 w – – 0 1
White to Play and Mate in 4
Chesthetica v11.62 (Selangor, Malaysia)
Generated on 1 Mar 2020 at 7:00:05 AM
Solvability Estimate = Difficult
Composing a chess puzzle or problem requires creativity and it’s not easy even for most humans. Now, let’s see what else there is to say. Give me a moment. Did you find this one interesting or have something else to say? Leave a comment below! Feel free to copy the position into a chess engine and discover even more variations of the solution. If you’re bored of standard chess, though, why not try this?