Computer-Generated Chess Problem 01870

An original 'KQRNP vs kbnp' mate in 3 chess puzzle or problem (whichever you wish to call it) composed by Chesthetica using the 'Digital Synaptic Neural Substrate' computational creativity method. It does not use endgame tablebases, artificial neural networks, machine learning or any kind of typical AI. There is no known limit to the quantity or type of compositions that can be generated. 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.

1knK4/Nb6/P7/R7/8/4p3/5Q2/8 w - - 0 1
White to Play and Mate in 3
Chesthetica v10.59 : Selangor, Malaysia
2018.1.26 7:01:24 AM
Solvability Estimate = Moderate

A seemingly earlier version of Chesthetica on a problem composed later (based on the date and time stamp) simply means that version may have been running on a different computer or operating system user account. White has a decisive material advantage in this position but the winning sequence may not be immediately clear. Do share and try out some of the others too. Note that not all the chess problems are like this. They cover quite the spectrum of solving ability and there are over a thousand published already.

Related Books: https://www.amazon.com/Azlan-Iqbal