Take a look at this 'KQNNP vs kqbbp' mate in 4 chess problem generated 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. The chess board is a virtually limitless canvas for the expression of creative ideas (even by computer). You can learn more about the DSNS here. 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.
White to Play and Mate in 4
Chesthetica v10.63 : Selangor, Malaysia
2018.4.6 3:40:54 PM
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. Okay, let me think for a minute if there's anything else to say here. Try to solve this puzzle. Do try some of the others in the series as well before you go. Collectively, these puzzles are intended to cater to players of all levels.
Solution (Skip to 0:35)
< | Facebook | Twitter | About the Book | Website | Reddit| >