Computer-Generated Chess Problem 02968

in #chess2 years ago

Published online for the first time, consider this KRBN vs kqn mate in 4 chess construct composed autonomously by a computer using the 'Digital Synaptic Neural Substrate' computational creativity method. It does not use endgame tablebases, artificial neural networks, machine learning or any kind of typical AI. There is no known limit to the quantity or type of compositions that can be generated.


5B2/6NK/5k2/q3n3/7R/8/8/8 w - - 0 1
White to Play and Mate in 4
Chesthetica v11.77 (Selangor, Malaysia)
Generated on 30 Jun 2020 at 12:57:03 AM
Solvability Estimate = Difficult

White actually has less material than Black yet still wins. The white army is down by about 1 (Shannon) pawn units in value. Did you find this one interesting or have something else to say? Leave a comment below! Note that not all the chess problems are like this. They cover quite the spectrum of solving ability and there are thousands published already. If you're bored of standard chess, though, why not try this?


Coin Marketplace

STEEM 0.18
TRX 0.05
JST 0.022
BTC 16795.09
ETH 1266.76
USDT 1.00
SBD 2.12