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Uncategorized, chess, artificial intelligence, games, puzzles

Computer-Generated Chess Problem 02245

A ‘KRRBNN vs kbnp’ chess construct composed autonomously by the program, Chesthetica, 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). It also has nothing to do with deep learning. 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.

3b4/6K1/N3k3/3RnN2/2p5/8/6R1/7B w – – 0 1
White to Play and Mate in 3
Chesthetica v10.74 : Selangor, Malaysia
2018.8.2 9:08:05 AM
Solvability Estimate = Difficult

Composing a chess puzzle or problem requires creativity and it’s not easy even for most humans. Chesthetica composes everything autonomously (no human intervention) and even chooses the main line of the solution to show you. Leave a comment below if you like. Feel free to copy the position into a chess engine and discover even more variations of the solution.

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

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artificial intelligence, chess, games, puzzles, Uncategorized

Computer-Generated Chess Problem 02244

What we have here is a ‘KBBN vs knnp’ five-move chess puzzle created by a computer 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. 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.

n7/4n3/2B5/k1K5/1N3B2/8/p7/8 w – – 0 1
White to Play and Mate in 5
Chesthetica v10.69 : Selangor, Malaysia
2018.8.1 5:01:45 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. White has a slight material advantage over Black. 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.

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

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artificial intelligence, chess, games, puzzles, Uncategorized

Computer-Generated Chess Problem 02243

This is an original ‘KNNNP vs kppp’ study construct generated autonomously by the prototype computer program, Chesthetica, using the computational creativity approach which doesn’t use any kind of traditional AI or even deep learning. Chesthetica has the creative ability to compose positions on an 8×8 canvas that may otherwise take centuries to arise in an actual game, if ever. 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. 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 9 pieces could have been taken from such a database. The solution shown for this study may not be the best line possible because it depends on the engine that was used and how much time it had to analyze. Regardless, the first move and overall evaluation (e.g. win, draw) should be right.

5N2/5N2/8/8/1N6/6pp/P2pK3/7k w – – 0 1
Chesthetica v10.74 : Selangor, Malaysia
White to Play and Win : 2018.7.31 5:38:37 PM

Chesthetica composes everything autonomously (no human intervention) and even chooses the main line of the solution to show you. Did you find this one interesting or have something else to say? Leave a comment below! 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?

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

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artificial intelligence, chess, games, puzzles, Uncategorized

Computer-Generated Chess Problem 02242

Now, this is a ‘KRBN vs knp’ mate in 3 chess problem generated autonomously by the prototype computer program, Chesthetica, using the ‘DSNS’ computational creativity approach which does not use any kind of machine or deep learning. There is also no proven limit to the quantity or type of legal compositions that can be automatically generated.

1n6/8/3R4/k6N/8/1K1B1p2/8/8 w – – 0 1
White to Play and Mate in 3
Chesthetica v10.70 : Selangor, Malaysia
2018.7.31 3:36:46 PM
Solvability Estimate = Moderate

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. Try to solve this as quickly as you can. If you like it, please share with your friends. 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?

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

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artificial intelligence, chess, games, puzzles, Uncategorized

Computer-Generated Chess Problem 02241

Here is a new ‘KRRRB vs kqrp’ four-move chess problem generated 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. 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. 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 9 pieces could have been taken from such a database.

1R1R2BR/k7/1p6/8/2r5/6q1/8/1K6 w – – 0 1
White to Play and Mate in 4
Chesthetica v10.69 : Selangor, Malaysia
2018.7.31 2:09:13 PM
Solvability Estimate = Easy

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. 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 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 02240

Now, here we have a ‘KQBBNN vs kqbnp’ chess puzzle or problem (whichever you wish to call it) composed by a computer 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. The position below contains 11 pieces which means it simply could not have been derived even from an existing endgame tablebase which is presently limited to 7 pieces.

8/3q4/4b1K1/7N/2kp4/n7/3B4/1Q3N1B w – – 0 1
White to Play and Mate in 5
Chesthetica v10.69 : Selangor, Malaysia
2018.7.30 10:20:23 PM
Solvability Estimate = Easy

White is significantly ahead in material. 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 (Skip to 0:35)

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artificial intelligence, chess, games, puzzles, Uncategorized

Computer-Generated Chess Problem 02239

A newly published and original KQRBN vs kqn mate in 5 chess problem generated by the program, Chesthetica, using the DSNS computational creativity approach which doesn’t use any kind of traditional AI. 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. The position below contains 8 pieces which means it simply could not have been derived even from an existing endgame tablebase which is presently limited to 7 pieces.

8/8/1B2QK2/4n2q/8/3R1N2/8/7k w – – 0 1
White to Play and Mate in 5
Chesthetica v10.69 : Selangor, Malaysia
2018.7.30 7:44:07 PM
Solvability Estimate = Easy

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. Chesthetica composes everything autonomously (no human intervention) and even chooses the main line of the solution to show you. As a whole, these problems are intended to cater to players of all skill 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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