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artificial intelligence, chess, games, puzzles, Uncategorized

Computer-Generated Chess Problem 02574

A newly published and original KRNNPP vs kbnnp chess problem generated autonomously by Chesthetica 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. The largest (Lomonosov) tablebase today is for 7 pieces which contains over 500 trillion positions. With each additional piece, the number of possible positions increases exponentially. It is therefore impossible that this problem with 11 pieces could have been taken from such a database.

2b5/8/2n2K2/4R3/1n3k2/2N2Pp1/3P4/2N5 w – – 0 1
White to Play and Mate in 3
Chesthetica v11.09 (Selangor, Malaysia)
Generated on 1 Apr 2019 at 2:08:22 PM
Solvability Estimate = Difficult

Composing a chess puzzle or problem requires creativity and it’s not easy even for most humans. White is significantly ahead in material. 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. Note that not all the chess problems are like this. They cover quite the spectrum of solving ability and there are thousands published already. 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 02573

A newly published and original KQBNP vs kqrn 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 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.

B1N1rQq1/8/K3k3/4n3/3P4/8/8/8 w – – 0 1
White to Play and Mate in 3
Chesthetica v11.09 (Selangor, Malaysia)
Generated on 1 Apr 2019 at 10:42:39 AM
Solvability Estimate = Difficult

Most changes to Chesthetica that result in a slightly higher ‘version number’ are simply to improve the interface, by the way. White actually has less material than Black yet still wins. The white army is down by about 1 (Shannon) pawn units in value. 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. Anyway, if standard chess isn’t your thing, you might instead like SSCC.

A Similar Problem by Chesthetica: 00946

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

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artificial intelligence, chess, games, puzzles, Uncategorized

Computer-Generated Chess Problem 02572

Contemplate this ‘KQBP vs krbpp’ #3 chess puzzle created by the prototype computer program, 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. 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.

8/4P3/8/6K1/8/kpQ1B3/pr1b4/8 w – – 0 1
White to Play and Mate in 3
Chesthetica v11.09 (Selangor, Malaysia)
Generated on 1 Apr 2019 at 7:42:26 AM
Solvability Estimate = Difficult

Most changes to Chesthetica that result in a slightly higher ‘version number’ are simply to improve the interface, by the way. White is significantly ahead in material. Try to solve this as quickly as you can. If you like it, please share with others. As a whole, these problems are intended to cater to players of all skill levels.

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

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artificial intelligence, chess, games, puzzles, Uncategorized

Computer-Generated Chess Problem 02571

What we have here is a ‘KRB vs kqp’ chess problem generated autonomously by a computer using the DSNS computational creativity approach which doesn’t use any kind of traditional AI. Chesthetica has the creative ability to compose positions that may otherwise take centuries to arise in an actual game, if ever. There is no known limit to the quantity or type of compositions that can be generated.

8/8/8/8/8/2Kp1B2/2R1q3/k7 w – – 0 1
White to Play and Mate in 4
Chesthetica v11.09 (Selangor, Malaysia)
Generated on 29 Mar 2019 at 6:02:06 PM
Solvability Estimate = Moderate

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. Try to solve this as quickly as you can. If you like it, please share with others. Solving chess puzzles like this can also help improve your game. If you’re bored of standard chess, though, why not try this?

A Similar Problem by Chesthetica: 02389

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

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artificial intelligence, chess, games, puzzles, Uncategorized

Computer-Generated Chess Problem 02570

An original ‘KQBBN vs kqp’ mate in 3 chess puzzle created 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. 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.

4Q3/8/8/q4B2/1p6/Nk6/7K/B7 w – – 0 1
White to Play and Mate in 3
Chesthetica v11.09 (Selangor, Malaysia)
Generated on 29 Mar 2019 at 5:40:54 PM
Solvability Estimate = Difficult

If you notice any version of Chesthetica ‘skipped’ from one problem to the next, that simply means additional (minor) changes were made to the program before it was set to run again. Everything composed by Chesthetica is original. If this one is too easy or too difficult for you, try out some of the others. Note that not all the chess problems are like this. They cover quite the spectrum of solving ability and there are thousands published already.

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

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artificial intelligence, chess, games, puzzles, Uncategorized

Computer-Generated Chess Problem 02569

A ‘KRRN vs kqppppp’ four-move chess puzzle or problem (whichever you wish to call it) composed 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. There is also no proven limit to the quantity or type of legal compositions that can be automatically generated. Any chess position over 7 pieces could not possibly have been derived from an endgame tablebase which today is limited to 7 pieces.

8/5p2/8/5pK1/1q1p1R1N/6pk/4R2p/8 w – – 0 1
White to Play and Mate in 4
Chesthetica v11.09 (Selangor, Malaysia)
Generated on 29 Mar 2019 at 5:01:03 PM
Solvability Estimate = Difficult

Composing a chess puzzle or problem requires creativity and it’s not easy even for most humans. Okay, let me think for a minute if there’s anything else to say here. Why not time yourself how long it took you to solve this? 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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artificial intelligence, chess, games, puzzles, Uncategorized

Computer-Generated Chess Problem 02568

This is an original ‘KBBNN vs k’ #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. 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. 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.

8/8/6K1/1kB1N3/8/1B6/3N4/8 w – – 0 1
White to Play and Mate in 4
Chesthetica v11.09 (Selangor, Malaysia)
Generated on 29 Mar 2019 at 4:45:48 PM
Solvability Estimate = Moderate

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. 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.

A Similar Problem by Chesthetica: 01915

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

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