A new if not unique KQBN vs kqpp forced mate in three chess problem generated autonomously by a computer 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 is very unlikely to have been obtained from known endgame databases. Chesthetica is therefore the real McCoy.
White to Play and Mate in 3
Chesthetica v12.49 (Selangor, Malaysia)
Generated on 28 Feb 2022 at 1:37:54 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. Did you find this one interesting or have something else to say? Leave a comment below! Over time, the tactics you see in these puzzles will help you improve your game. If you're wondering how complex some chess problems can get, read this.
A Similar Chess Problem by Chesthetica: 01237
Solution
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