A new if not unique KQBNP vs kqrrn #3 chess puzzle or problem (whichever you wish to call it) composed 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. Chesthetica is able to generate three-movers, four-moves, five-movers and study-like constructs and also compose problems using specific pieces types fed into it (e.g. to compose something using a rook, bishop, knight and three pawns vs. a queen and a rook). Read more about it on ChessBase. The position below contains 10 pieces which means it simply could not have been derived even from an existing endgame tablebase which is presently limited to 7 pieces.
White to Play and Mate in 3
Chesthetica v10.82 : Selangor, Malaysia
2018.10.28 7:01:40 PM
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 yet still wins. The white army is down by about 6 (Shannon) pawn units in value. Try to solve this as quickly as you can. If you like it, please share with others. Note that not all the chess problems are like this. They cover quite the spectrum of solving ability and there are thousands published already.
Main Line of the Solution (Skip to 0:35)
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