Computer-Generated Chess Problem 02933

What we have here is a ‘KQRB vs krn’ five-move chess puzzle or problem (whichever you wish to call it) composed by Chesthetica using the approach known as the DSNS from the sub-field of AI, computational creativity. Depending on the type and complexity of the problem desired, a single instance of Chesthetica running on a desktop computer can probably generate anywhere between one and ten problems per hour.

8/8/4Q3/B4R2/8/4K3/1r6/k1n5 w – – 0 1
White to Play and Mate in 5
Chesthetica v11.71 (Selangor, Malaysia)
Generated on 25 May 2020 at 2:53:57 AM
Solvability Estimate = Moderate

Composing a chess puzzle or problem requires creativity and it’s not easy even for most humans. What was the machine ‘thinking’ when it came up with this? Leave a comment below, if you like. Some of these problems may be trivial for you, especially if you’re a club or master player but bear in mind that chess lovers can be found at all levels of play. So do check out some of the other problems. You can probably find something more to your taste.

Solution

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Computer-Generated Chess Problem 02932

What we have here is a ‘KQRP vs kqrp’ five-move chess problem generated autonomously by the prototype computer program, Chesthetica, using the Digital Synaptic Neural Substrate AI computational creativity method. Chesthetica can compose problems that might otherwise take centuries or longer for human composers to think of, so you may enjoy them right now. 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.

2R5/1P4k1/2K2p2/8/8/4r3/3q4/1Q6 w – – 0 1
White to Play and Mate in 5
Chesthetica v11.68 (Selangor, Malaysia)
Generated on 24 May 2020 at 9:01:31 PM
Solvability Estimate = Easy

Now, let’s see what else there is to say. Give me a moment. Try to solve this as quickly as you can. If you like it, please share with your friends. Take some time to study the analysis and you might appreciate the puzzle a little more.

A Similar Problem by Chesthetica: 01643

Solution

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Computer-Generated Chess Problem 02931

A newly published and original KQBNP vs kbn #3 chess problem generated by a computer program, Chesthetica, using the ‘DSNS’ computational creativity approach which does not use any kind of machine or deep learning. You can learn more about the DSNS here. 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 8 pieces goes even beyond that and was therefore composed without any such help.

kBb1N3/1n6/1P5Q/8/8/8/8/6K1 w – – 0 1
White to Play and Mate in 3
Chesthetica v11.69 (Selangor, Malaysia)
Generated on 23 May 2020 at 12:13:24 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. White has a decisive material advantage in this position but the winning sequence may not be immediately clear. Leave a comment below, if you like. Solving chess puzzles like this can also help improve your game.

Solution

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Computer-Generated Chess Problem 02930

What we have here is a ‘KRRN vs krrb’ study construct generated autonomously by a computer program, Chesthetica, using the Digital Synaptic Neural Substrate (DSNS) computational creativity approach. It doesn’t use endgame tablebases, deep learning or any kind of traditional 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. The analysis presented for this study may not be perfect as it depends on the engine used and time allocated to it. However, the key move should be right.

8/R7/2k5/K7/8/8/1Nr3r1/b2R4 w – – 0 1
White to Play and Win
Chesthetica v11.70 (Selangor, Malaysia)
Generated on 22 May 2020 at 5:46:29 AM

Material is even. 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. Some of these problems may be trivial for you, especially if you’re a club or master player but bear in mind that chess lovers can be found at all levels of play. So do check out some of the other problems. You can probably find something more to your taste. Anyway, if standard chess isn’t your thing, you might instead like SSCC.

A Similar Problem by Chesthetica: 00166

Solution

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Computer-Generated Chess Problem 02929

Take a look at this ‘KQRBNN vs kqrrnnp’ chess puzzle or problem (whichever you wish to call it) composed by a computer using the ‘Digital Synaptic Neural Substrate’ computational creativity approach which does not use any kind of deep learning. After years of development, Chesthetica is able to use the technology to express original creative thought in this domain. Note that it also never had millions of IBM or Google dollars behind it. There is no known limit to the quantity or type of compositions that can be generated. The position below contains 13 pieces which means it simply could not have been derived even from an existing endgame tablebase which is presently limited to 7 pieces.

7r/n1B5/8/1r1Rq3/N7/1k6/4QpN1/n4K2 w – – 0 1
White to Play and Mate in 5
Chesthetica v11.70 (Selangor, Malaysia)
Generated on 21 May 2020 at 7:38:23 PM
Solvability Estimate = Moderate

Okay, let me think for a minute if there’s anything else to say here. 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. Collectively, these puzzles are intended to cater to players of all levels.

Solution

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