Published online for the first time, consider this KQRBP vs krbp #3 chess construct 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). It also has nothing to do with deep learning. There is no known limit to the quantity or type of compositions that can be generated. Any chess position over 7 pieces could not possibly have been derived from an endgame tablebase which today is limited to 7 pieces.
White to Play and Mate in 3
Chesthetica v10.63 : Selangor, Malaysia
2018.4.17 6:11:33 AM
The chess problems are published chronologically based on the composition date and time. However, later compositions may have an earlier version of Chesthetica listed because more than one computer (not all running the same version of the program) is used. Okay, let me think for a minute if there's anything else to say here. Do share and try out some of the others too. Take some time to study the analysis and you might appreciate the puzzle a little more.
Solution (Skip to 0:35)
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