Here is a new 'KRRNP vs krbp' mate in 3 chess construct composed autonomously by the program, Chesthetica, 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. There is also no proven limit to the quantity or type of legal compositions that can be automatically generated. This position contains a total of 9 pieces. The largest endgame tablebase in existence today is for 7 pieces (containing over 500 trillion positions anyway) which means the problem could not have been taken from it regardless.
White to Play and Mate in 3
Chesthetica v10.63 : Selangor, Malaysia
2018.4.22 7:40:48 PM
Some of the earliest chess problems by humans are over 10 centuries old but original ones by computer are very recent. Now, let's see what else there is to say. Give me a moment. Why not time yourself how long it took you to solve this? 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.
Solution (Skip to 0:35)
< | Facebook | Twitter | Kindle E-book | Website | Reddit| >