Computer-Generated Chess Problem 02198

Take a look at this 'KRBB vs kppp' chess problem generated autonomously by 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 mates in 3, mates in 4, mates in 5, study-like constructs and also compose problems using specific combinations of pieces fed into it (such as using only two bishops versus knight). (Read more about it on ChessBase: https://en.chessbase.com/tagged?tag=Chesthetica). The position below contains 8 pieces which means it simply could not have been derived even from an existing endgame tablebase which is presently limited to 7 pieces.

8/8/1K1B2B1/1R6/2k5/p2p4/4p3/8 w - - 0 1
White to Play and Mate in 5
Chesthetica v10.69 : Selangor, Malaysia
2018.7.8 10:16:48 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. Okay, let me think for a minute if there's anything else to say here. Did you find this one interesting or have something else to say? Leave a comment below! Some of these problems may be trivial for you, especially if you're a club or master player but bear in mind that chess lovers can be found at all levels of play. So do check out some of the other problems. You can probably find something more to your taste.

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