Here is a 'KRNN vs kp' chess puzzle created by a computer 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). 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. Read more about it on ChessBase.
Chesthetica v10.57 : Selangor, Malaysia
White to Play and Mate in 4 : 2017.12.31 5:28:28 AM
If you notice an earlier version of Chesthetica listed with a newer problem, that simply means an earlier version may have been running on a different computer or OS user account. White has a decisive material advantage in this position but the winning sequence may not be immediately clear. The default solving time of 30 seconds may be too short for you if the problem is difficult so feel free to hit the pause button and solve at your own pace. Do share and try out some of the others too. Take some time to study the analysis and you might appreciate the puzzle a little more.
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