Computer-Generated Chess Problem 02883

This is an original 'KRNNP vs knp' three-move chess puzzle created 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. There is no known limit to the quantity or type of compositions that can be generated. Noteworthy here is that a chess position with over 7 pieces could not have been derived or taken from an endgame tablebase because 7 pieces is the present limit.

 [5k2/7K/7p/3NPN2/8/8/2n5/4R3 w - - 0 1](https://lichess.org/analysis/standard/5k2/7K/7p/3NPN2/8/8/2n5/4R3_w_-_-_0_1) ***White to Play and Mate in 3** Chesthetica v11.64 (Selangor, Malaysia) Generated on 3 Apr 2020 at 5:29:37 PM*Solvability Estimate = Easy Humans have been composing original chess problems for over a thousand years. Now a computer can do it too. Now, let's see what else there is to say. Give me a moment. Try to solve this as quickly as you can. If you like it, please share with your friends. Feel free to copy the position into a chess engine and discover even more variations of the solution. **Solution**https://youtu.be/SELicl4EuS0?t=38s [<](https://hive.blog/chess/@chesthetica/computer-generated-chess-problem-02882)| [Book](https://www.youtube.com/watch?v=e60cnqPwqKE) | [DTube](https://d.tube/c/chesthetica) | [Facebook](https://www.facebook.com/Chesthetica) | [Instagram](https://www.instagram.com/chesthetica/) | [Twitter](https://twitter.com/Chesthetica) | [Website](http://www.chesthetica.com) |[>](https://hive.blog/chess/@chesthetica/computer-generated-chess-problem-02884)