A ‘KRRBNN vs kbnp’ chess construct composed autonomously by the program, Chesthetica, using the Digital Synaptic Neural Substrate (DSNS) computational creativity approach. The DSNS does not use endgame tablebases, neural networks or any kind of machine learning found in traditional artificial intelligence (AI). It also has nothing to do with deep learning. 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.
3b4/6K1/N3k3/3RnN2/2p5/8/6R1/7B w – – 0 1
White to Play and Mate in 3
Chesthetica v10.74 : Selangor, Malaysia
2018.8.2 9:08:05 AM
Solvability Estimate = Difficult
Composing a chess puzzle or problem requires creativity and it’s not easy even for most humans. Chesthetica composes everything autonomously (no human intervention) and even chooses the main line of the solution to show you. Leave a comment below if you like. Feel free to copy the position into a chess engine and discover even more variations of the solution.
Main Line of the Solution (Skip to 0:35)