Computer-Generated Chess Problem 02402

Published online for the first time, consider this KRBBNP vs kbn mate in 4 chess problem generated autonomously by a computer using the 'Digital Synaptic Neural Substrate' computational creativity approach which does not use any kind of deep learning. After years of development, Chesthetica is able to use the technology to express original creative thought in this domain. Note that it also never had millions of IBM or Google dollars behind it. (Learn more about the DSNS here: https://arxiv.org/abs/1507.07058). The largest endgame tablebase in existence today is for 7 pieces (Lomonosov) which contains over 500 trillion positions, most of which have not been seen by human eyes. This problem with 9 pieces goes even beyond that and was therefore composed without any such help.

8/5N1R/K7/8/k4bBB/8/2P4n/8 w - - 0 1
White to Play and Mate in 4
Chesthetica v10.82 : Selangor, Malaysia
2018.11.26 3:39:12 PM

Chess puzzles are ancient. Some are over a thousand years old but only in the 21st century have computers been able to compose original ones on their own like humans can. Get a glimpse into the 'mind' of a computer composer. 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.

Related Books: http://amazon.com/author/azlan_iqbal

Artwork licensed under Creative Commons (CC0).