An original 'KRBBNN vs kqnpp' three-move chess problem generated autonomously by a computer using the Digital Synaptic Neural Substrate (DSNS) computational creativity approach. The DSNS does not use endgame tablebases, neural networks or any kind of machine learning found in traditional artificial intelligence (AI). It also has nothing to do with deep learning. The largest (Lomonosov) tablebase today is for 7 pieces which contains over 500 trillion positions. With each additional piece, the number of possible positions increases exponentially. It is therefore impossible that this problem with 11 pieces could have been taken from such a database.
White to Play and Mate in 3
Chesthetica v11.20 (Selangor, Malaysia)
Generated on 2 Jun 2019 at 5:05:44 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. White is significantly ahead in material. Try to solve this as quickly as you can. If you like it, please share with others. Solving chess puzzles like this can be good for your health as it keeps your brain active. It may even delay or prevent dementia. Anyway, if standard chess isn't your thing, you might instead like SSCC.
Main Line of the Solution (Skip to 0:35)
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