Computer-Generated Chess Problem 02340

Here is a new 'KRRNPP vs kqbnnp' chess puzzle created by Chesthetica using the computational creativity approach which doesn't use any kind of traditional AI or even deep learning. Chesthetica has the creative ability to compose positions on an 8x8 canvas that may otherwise take centuries to arise in an actual game, if ever. Chesthetica is able to generate various types of mates and study-like constructs and also compose problems using specific combinations of pieces fed into it (e.g. instructing it to compose something using perhaps a queen vs. three knights). Learn more about it on ChessBase. This position contains a total of 12 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.


2nkb3/1PN1n3/7R/2qp2K1/3PR3/8/8/8 w - - 0 1
White to Play and Mate in 3
Chesthetica v10.82 : Selangor, Malaysia
2018.10.27 11:19:58 PM
Solvability Estimate = Moderate

Composing a chess puzzle or problem requires creativity and it's not easy even for most humans. White actually has less material than Black yet still wins. The white army is down by about 4 (Shannon) pawn units in value. Looking at the position, it is somewhat cluttered. Do you think you could have composed something better with these pieces? Share in the comments and let us know how long it took you. As a whole, these problems are intended to cater to players of all skill levels.

Main Line of the Solution (Skip to 0:35)

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