Here is a new ‘KQNP vs kqbnp’ mate in 3 chess construct composed autonomously by the program, 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. Chesthetica is able to generate #3s, #4s, #5s and study-like constructs and also compose problems using specific combinations of pieces fed into it (such as using only two bishops versus knight). Read more about it on ChessBase. 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.
1q1b4/1nk1P3/2p5/6N1/8/8/5Q2/K7 w – – 0 1
White to Play and Mate in 3
Chesthetica v10.82 : Selangor, Malaysia
2018.10.18 1:58:37 PM
Solvability Estimate = Moderate
Humans have been composing original chess problems for over a thousand years. Now a computer can do it too. White actually has less material than Black. The white army is down by about 3 (Shannon) pawn units in value. Try to solve this as quickly as you can. If you like it, please share with your friends. 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.
Main Line of the Solution (Skip to 0:35)
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