https://www.youtube.com/watch?v=DC73fUx2ln4 <div class="text-justify"> Here is a 'KRPP vs kn' three-move chess [construct](https://en.chessbase.com/post/best-chess-constructs-by-chessbase-readers) composed 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). <center>[8/5KP1/6nk/4R2P/8/8/8/8 w - - 0 1](https://lichess.org/analysis/standard/8/5KP1/6nk/4R2P/8/8/8/8_w_) Chesthetica v10.57 : Selangor, Malaysia White to Play and Mate in 3 : 2017.12.16 10:30:23 PM</center><center>Solvability Estimate = Easy</center> White is significantly ahead in material. The position appears fairly cluttered. It looks like the solution might involve a pawn promotion. Leave a comment below if you like. 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.<center> [<](https://steemit.com/chess/@chesthetica/computer-generated-chess-problem-01781) | [Facebook](https://www.facebook.com/Chesthetica) | [Twitter](https://twitter.com/Chesthetica) | [Kindle E-book](https://www.amazon.com/dp/B074K16G31) | [Website](http://www.chesthetica.com) | [Reddit](https://www.reddit.com/r/ChessCPPS/)| [>](https://steemit.com/chess/@chesthetica/computer-generated-chess-problem-01783)</center> </div>
post_id | 64,379,591 |
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author | chesthetica |
permlink | computer-generated-chess-problem-01782 |
category | chess |
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