Computer-Generated Chess Problem 02955

in #chess4 years ago

A newly published and original KQRBBN vs krrbp mate in 3 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. Chesthetica is able to generate a variety of compositions using any combination of pieces. Read more about it here. Any chess position over 7 pieces could not possibly have been derived from an endgame tablebase which today is limited to 7 pieces.

image.png

K7/2p5/3k3r/2N1R1b1/7Q/1r2B3/2B5/8 w - - 0 1
White to Play and Mate in 3
Chesthetica v11.70 (Selangor, Malaysia)
Generated on 17 Jun 2020 at 10:12:10 PM
Solvability Estimate = Difficult

These chess puzzles are published in order based on the composition date and time stamp above. Due to the sheer volume of compositions generated, the latest ones may therefore only be published later on. What was the machine 'thinking' when it came up with this? Do you think you could have composed something better with these pieces? Share in the comments and let us know how long it took you. Solving chess puzzles like this can also help improve your game.

Solution

Coin Marketplace

STEEM 0.20
TRX 0.12
JST 0.028
BTC 61436.95
ETH 3388.33
USDT 1.00
SBD 2.49