Computer-Generated Chess Problem 03974

Published online for the first time, consider this KRRPPPPPP vs kqbb chess construct composed autonomously by a computer 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. There is no known limit to the quantity or type of compositions that can be generated. Noteworthy here is that a chess position with over seven pieces would not likely have been derived or taken from an endgame tablebase because seven pieces is the present limit. A complete or full tablebase for eight pieces does not yet exist.

image.png

2Kb2R1/R1PPPb2/5k2/3P4/5P2/4P3/8/1q6 w - - 0 1
White to Play and Mate in 4
Chesthetica v12.64 (Selangor, Malaysia)
Generated on 26 Dec 2022 at 7:58:48 PM
Solvability Estimate = Difficult

Composing a chess puzzle or problem requires creativity and it's not easy even for most humans. Everything composed by Chesthetica is original. Leave a comment below if you like. Solving chess puzzles like this can be good for your health as it keeps your brain active. It may even delay or prevent dementia.

Solution

<| Amazon | Minds | Reddit | WordPress | YouTube |>

H2
H3
H4
3 columns
2 columns
1 column
Join the conversation now