Computer-Generated Chess Problem 02831

Take a look at this 'KQBNN vs kqrnppp' chess puzzle or problem (whichever you wish to call it) composed by the 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. 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. Any chess position with this many pieces could not possibly have been obtained from known endgame databases. Chesthetica is therefore the real McCoy.

image.png

8/rN4K1/k1B5/8/2N5/pnp3p1/q7/3Q4 w - - 0 1
White to Play and Mate in 3
Chesthetica v11.59 (Selangor, Malaysia)
Generated on 14 Jan 2020 at 2:16:31 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. Do share and try out some of the others too. Solving chess puzzles like this is probably good for your health as it keeps your brain active. Nobody wants something like early-onset Alzheimer's.

Solution

<| Books | DTube | Facebook | Instagram | Twitter | Website |>

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