Computer-Generated Chess Problem 02350

A new if not unique KBNPPP vs kbnn three-move chess construct generated by the prototype computer 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 mates in 3, mates in 4, mates in 5, study-like constructs and also compose problems using specific combinations of pieces fed into it (e.g. instructing it to compose something using a queen, rook and bishop vs. queen and two knights). (Read more about it on ChessBase: https://en.chessbase.com/tagged?tag=Chesthetica). The largest endgame tablebase in existence today is for 7 pieces (Lomonosov) which contains over 500 trillion positions, most of which have not and never will be seen by human eyes. This problem with 10 pieces goes even beyond that and was therefore composed without any such help whatsoever.

5b2/3PknB1/2Pn1N2/6P1/5K2/8/8/8 w - - 0 1
White to Play and Mate in 3
Chesthetica v10.82 : Selangor, Malaysia
2018.11.2 11:42:08 PM

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? Collectively, these puzzles are intended to cater to players of all levels.

Related Books: http://amazon.com/author/azlan_iqbal

Artwork licensed under Creative Commons (CC0).