Computer-Generated Chess Problem 02857

Contemplate this ‘KQQ vs krrbnn’ 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. Any chess position over 7 pieces could not possibly have been derived from an endgame tablebase which today is limited to 7 pieces.

1r1Q4/5K1k/5Q2/8/1n3r2/6b1/3n4/8 w – – 0 1
White to Play and Mate in 5
Chesthetica v11.62 (Selangor, Malaysia)
Generated on 3 Mar 2020 at 10:55:51 PM
Solvability Estimate = Difficult

Most changes to Chesthetica that result in a slightly higher ‘version number’ are simply to improve the interface, by the way. Everything composed by Chesthetica is original. Why not time yourself how long it took you to solve this? As a whole, these problems are intended to cater to players of all skill levels. If you’re bored of standard chess, though, why not try this?

Solution

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Computer-Generated Chess Problem 02856

A new if not unique KQRBN vs kqbpp 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. The chess board is a virtually limitless canvas for the expression of creative ideas (even by computer). 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.

6B1/8/b2p4/p1R5/1k4K1/2N2Q2/1q6/8 w – – 0 1
White to Play and Mate in 3
Chesthetica v11.62 (Selangor, Malaysia)
Generated on 2 Mar 2020 at 1:37:51 AM
Solvability Estimate = Difficult

Chesthetica, especially if running on multiple computers or operating system user accounts, is capable of generating far too many compositions than can be published in a timely fashion here. The newer ones will therefore only be published some time later. This is why the composition date above does not match today’s date. Chesthetica composes everything autonomously (no human intervention) and even chooses the main line of the solution to show you. Try to solve this puzzle. Do try some of the others in the series as well before you go. Solving chess puzzles like this can also help improve your game.

Solution

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Computer-Generated Chess Problem 02855

A new if not unique KQRB vs knnpp chess problem generated by a 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. There is no known limit to the quantity or type of compositions that can be generated. The largest endgame tablebase in existence today is for 7 pieces (Lomonosov) which contains over 500 trillion positions, most of which have not been seen by human eyes. This problem with 9 pieces goes even beyond that and was therefore composed without any such help.

8/1R6/5nkp/n7/3K1Q1p/8/1B6/8 w – – 0 1
White to Play and Mate in 4
Chesthetica v11.62 (Selangor, Malaysia)
Generated on 1 Mar 2020 at 7:00:05 AM
Solvability Estimate = Difficult

Composing a chess puzzle or problem requires creativity and it’s not easy even for most humans. Now, let’s see what else there is to say. Give me a moment. Did you find this one interesting or have something else to say? Leave a comment below! Feel free to copy the position into a chess engine and discover even more variations of the solution. If you’re bored of standard chess, though, why not try this?

Solution

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Computer-Generated Chess Problem 02854

Here is a ‘KRRBN vs krn’ #3 chess construct composed autonomously by the program, Chesthetica, using the relatively new computational creativity approach called the ‘DSNS’. You can learn more about the DSNS here. Any chess position with this many pieces could not possibly have been obtained from known endgame databases. Chesthetica is therefore the real McCoy.

8/8/8/2R5/8/R3r3/2K1k1B1/5n1N w – – 0 1
White to Play and Mate in 3
Chesthetica v11.63 (Selangor, Malaysia)
Generated on 29 Feb 2020 at 8:54:41 AM
Solvability Estimate = Difficult

Humans have been composing original chess problems for over a thousand years. Now a computer can do it too. 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? Note that not all the chess problems are like this. They cover quite the spectrum of solving ability and there are thousands published already.

Solution

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Computer-Generated Chess Problem 02853

This is an original ‘KQRN vs kqrpp’ chess problem generated by the prototype computer program, Chesthetica, using the approach known as the DSNS from the sub-field of AI, computational creativity. The program can compose problems that may otherwise take decades, centuries or even longer for human composers to think of, or to arise in a real game. This position contains a total of 9 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.

8/8/2K3Q1/N7/2p5/kp6/qr6/1R6 w – – 0 1
White to Play and Mate in 3
Chesthetica v11.62 (Selangor, Malaysia)
Generated on 29 Feb 2020 at 6:06:20 AM
Solvability Estimate = Difficult

Humans have been composing original chess problems for over a thousand years. Now a computer can do it too. Get a glimpse into the ‘mind’ of a computer composer. If this one is too easy or too difficult for you, try out some of the others. Solving chess puzzles like this is probably good for your health as it keeps your brain active. Nobody wants something like early-onset Alzheimer’s. Anyway, if standard chess isn’t your thing, you might instead like SSCC.

Solution

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