artificial intelligence, chess, games, puzzles, Uncategorized

Computer-Generated Chess Problem 02437

A new if not unique KQR vs krn #3 chess puzzle or problem (whichever you wish to call it) composed by a computer program, Chesthetica, using the ‘Digital Synaptic Neural Substrate’ computational creativity approach which does not use any kind of deep learning.

8/8/8/1r6/k7/2K5/2n5/2Q2R2 w – – 0 1
White to Play and Mate in 3
Chesthetica v10.82 : Selangor, Malaysia
2018.12.17 4:13:27 PM
Solvability Estimate = Difficult

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. Did you find this one interesting or have something else to say? Leave a comment below! 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 02435

A newly published and original KRNNP vs kqr mate in 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. Chesthetica is able to use the technology to express original creative thought in this domain. It also never had behind it a team of highly skilled programmers, consultants or the kind of hardware millions of IBM or Google dollars could buy. 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 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.

4q3/5P1k/7r/7N/8/1R3NK1/8/8 w – – 0 1
White to Play and Mate in 3
Chesthetica v10.82 : Selangor, Malaysia
2018.12.16 12:11:35 PM
Solvability Estimate = Difficult

Chesthetica composes everything autonomously (no human intervention) and even chooses the main line of the solution to show you. If this one is too easy or too difficult for you, try out some of the others. Take some time to study the analysis and you might appreciate the puzzle a little more.

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

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artificial intelligence, chess, games, puzzles, Uncategorized

Computer-Generated Chess Problem 02434

Now, this is a ‘KRBBN vs kqp’ three-move chess construct composed autonomously by a computer 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. There is also no proven limit to the quantity or type of legal compositions that can be automatically generated. 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/q1R5/1p6/1B4K1/8/3NB3/4k3 w – – 0 1
White to Play and Mate in 3
Chesthetica v10.82 : Selangor, Malaysia
2018.12.15 6:46:07 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. White is significantly ahead in material. Do share and try out some of the others too. Solving chess puzzles like this can be good for your health as it keeps your brain active. It may even delay or prevent dementia.

Similar Problems by Chesthetica: 01493 02021

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

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artificial intelligence, chess, games, puzzles, Uncategorized

Computer-Generated Chess Problem 02428

This is an original ‘KQRP vs kbb’ mate in 3 chess problem generated autonomously by 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. 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.

2Q1b3/3P3k/3K1bR1/8/8/8/8/8 w – – 0 1
White to Play and Mate in 3
Chesthetica v10.85 : Selangor, Malaysia
2018.12.12 4:16:59 AM
Solvability Estimate = Difficult

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. Collectively, these puzzles are intended to cater to players of all 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 02423

A newly published and original KQBBPPP vs kqrnn #3 chess puzzle created by a computer 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.

8/3r4/4n3/4Pn2/2qBk3/4P3/1Q3P2/K2B4 w – – 0 1
White to Play and Mate in 3
Chesthetica v10.82 : Selangor, Malaysia
2018.12.9 12:29:26 PM
Solvability Estimate = Difficult

A seemingly earlier version of Chesthetica on a problem composed later (based on the date and time stamp) simply means that version may have been running on a different computer or operating system user account. 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. 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 02422

Take a look at this ‘KBNN vs kp’ mate in 3 chess puzzle or problem (whichever you wish to call it) composed by a computer 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. Chesthetica is able to generate mates in 3, mates in 4, mates in 5, study-like constructs and also compose problems using specific combinations of pieces fed into it (e.g. compose something original using a knight versus three pawns). Read more about it on ChessBase.

8/8/1N5B/1p3N2/8/1k6/8/1K6 w – – 0 1
White to Play and Mate in 3
Chesthetica v10.82 : Selangor, Malaysia
2018.12.9 10:12:07 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. Chesthetica composes only unique or new constructs. If you have seen it before, cite the source and comment below because it is purely coincidental. Try to solve this puzzle. Do try some of the others in the series as well before you go. 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.

Similar Problems by Chesthetica: 01925 02254 02396 02417

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

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artificial intelligence, chess, games, puzzles, Uncategorized

Computer-Generated Chess Problem 02421

Published online for the first time, consider this KRRNN vs kqrr chess puzzle or problem (whichever you wish to call it) composed 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. 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.

8/8/4r3/2KNk3/4q2R/3r3R/8/2N5 w – – 0 1
White to Play and Mate in 3
Chesthetica v10.82 : Selangor, Malaysia
2018.12.8 6:58:38 AM
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. Okay, let me think for a minute if there’s anything else to say here. 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 (Skip to 0:35)

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