artificial intelligence, chess, games, puzzles, Uncategorized

Computer-Generated Chess Problem 02721

Consider this ‘KQNPP vs kqbn’ mate in 4 chess problem generated by the prototype 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. Chesthetica is able to generate various types of mates and study-like constructs and also compose problems using specific combinations of pieces fed into it (e.g. instructing it to compose something original using only a queen vs. rook, knight and bishop). Learn more about it on ChessBase.

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2nkb3/N2q4/3PP3/8/1K6/6Q1/8/8 w – – 0 1
White to Play and Mate in 4
Chesthetica v11.32 (Selangor, Malaysia)
Generated on 9 Aug 2019 at 9:31:57 PM
Solvability Estimate = Moderate

These chess puzzles are published in order based on the composition date and time stamp above. Due to the sheer volume of compositions generated, the latest ones may therefore only be published later on. Chesthetica composes only unique or new constructs. If you have seen it before, cite the source and comment below because it is purely coincidental. If this one is too easy or too difficult for you, try out some of the others. Feel free to copy the position into a chess engine and discover even more variations of the solution.

Main Line of the Solution

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artificial intelligence, chess, games, puzzles, Uncategorized

Computer-Generated Chess Problem 02720

Published online for the first time, consider this KQRR vs kqrr #4 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. There is also no proven limit to the quantity or type of legal compositions that can be automatically generated.

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R5R1/8/7k/2K5/6r1/8/3rq3/1Q6 w – – 0 1
White to Play and Mate in 4
Chesthetica v11.32 (Selangor, Malaysia)
Generated on 8 Aug 2019 at 12:58:01 PM
Solvability Estimate = Difficult

Get a glimpse into the ‘mind’ of a computer composer. Try to solve this as quickly as you can. If you like it, please share with others. Collectively, these puzzles are intended to cater to players of all levels. If you’re bored of standard chess, though, why not try this?

A Similar Problem by Chesthetica: 02169

Main Line of the Solution

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artificial intelligence, chess, games, puzzles, Uncategorized

Computer-Generated Chess Problem 02719

A newly published and original KRBP vs kp four-move chess problem generated autonomously by Chesthetica using the relatively new computational creativity approach called the ‘DSNS’. You can learn about how these constructs are selected here.

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8/8/8/2K1k3/8/6P1/5R1p/7B w – – 0 1
White to Play and Mate in 4
Chesthetica v11.32 (Selangor, Malaysia)
Generated on 7 Aug 2019 at 5:12:47 PM
Solvability Estimate = Moderate

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 is over a rook’s worth in material but the precise win in this position still needs to be found. Leave a comment below, if you like. Over time, the tactics you see in these puzzles will help you improve your game. If you’re bored of standard chess, though, why not try this?

Similar Problems by Chesthetica: 00013 00028 00361 01263 02058 02134

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artificial intelligence, chess, games, puzzles, Uncategorized

Computer-Generated Chess Problem 02711

A new if not unique KQRBNN vs krr four-move chess problem generated by a computer program, Chesthetica, using the ‘Digital Synaptic Neural Substrate’ computational creativity approach which does not use any kind of deep learning. 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 and never will be seen by human eyes. This problem with 9 pieces goes even beyond that and was therefore composed without any such help whatsoever.

image.png

3r4/1N6/Q3N1K1/4k3/8/8/3r2R1/2B5 w – – 0 1
White to Play and Mate in 4
Chesthetica v11.32 (Selangor, Malaysia)
Generated on 31 Jul 2019 at 6:03:40 PM
Solvability Estimate = Moderate

Chess puzzles are ancient. Some are over a thousand years old but only in the 21st century have computers been able to compose original ones on their own like humans can. White has a decisive material advantage in this position but the winning sequence may not be immediately clear. If this one is too easy or too difficult for you, try out some of the others. 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.

Main Line of the Solution

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artificial intelligence, chess, games, puzzles, Uncategorized

Computer-Generated Chess Problem 02710

A newly published and original KRBBNN vs kqpp mate in 4 chess problem generated by the program, Chesthetica, using the Digital Synaptic Neural Substrate AI computational creativity method. 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.

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1B6/8/6B1/8/8/2N4R/qp2pk1K/5N2 w – – 0 1
White to Play and Mate in 4
Chesthetica v11.32 (Selangor, Malaysia)
Generated on 30 Jul 2019 at 6:30:54 AM
Solvability Estimate = Moderate

Chess puzzles are ancient. Some are over a thousand years old but only in the 21st century have computers been able to compose original ones on their own like humans can. White is over a rook’s worth in material but the precise win in this position still needs to be found. If this one is too easy or too difficult for you, try out some of the others. Over time, the tactics you see in these puzzles will help you improve your game.

Main Line of the Solution

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artificial intelligence, chess, games, puzzles, Uncategorized

Computer-Generated Chess Problem 02702

An original ‘KQRRBNN vs kqrbp’ mate in 4 chess problem generated autonomously by Chesthetica 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 12 pieces which means it simply could not have been derived even from an existing endgame tablebase which is presently limited to 7 pieces.

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4NN2/R2p4/7k/8/4R1B1/5rq1/1K2b3/4Q3 w – – 0 1
White to Play and Mate in 4
Chesthetica v11.20 (Selangor, Malaysia)
Generated on 11 Jul 2019 at 5:10:41 PM
Solvability Estimate = Difficult

Composing a chess puzzle or problem requires creativity and it’s not easy even for most humans. White has a decisive material advantage in this position but the winning sequence may not be immediately clear. Try to solve this as quickly as you can. If you like it, please share with your friends. Collectively, these puzzles are intended to cater to players of all levels. Anyway, if standard chess isn’t your thing, you might instead like SSCC.

Main Line of the Solution (Skip to 0:35)

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artificial intelligence, chess, games, puzzles, Uncategorized

Computer-Generated Chess Problem 02699

This is an original ‘KRNNP vs kppp’ #4 chess problem generated by Chesthetica using the computational creativity approach which doesn’t use any kind of traditional AI or even deep learning. There is also no proven limit to the quantity or type of legal compositions that can be automatically generated. The largest endgame tablebase in existence today is for 7 pieces (Lomonosov) which contains over 500 trillion positions, most of which have not and never will be seen by human eyes. This problem with 9 pieces goes even beyond that and was therefore composed without any such help whatsoever.

image.png

8/3k4/K2p3N/2p4p/3P2N1/4R3/8/8 w – – 0 1
White to Play and Mate in 4
Chesthetica v11.20 (Selangor, Malaysia)
Generated on 4 Jul 2019 at 11:29:50 AM
Solvability Estimate = Difficult

Composing a chess puzzle or problem requires creativity and it’s not easy even for most humans. Chesthetica composes only unique or new constructs. If you have seen it before, cite the source and comment below because it is purely coincidental. Did you find this one interesting or have something else to say? Leave a comment below! Solving chess puzzles like this can be good for your health as it keeps your brain active. It may even delay or prevent dementia.

Main Line of the Solution (Skip to 0:35)

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