artificial intelligence, chess, games, puzzles, Uncategorized

Computer-Generated Chess Problem 02715

Here is a ‘KQRBPP vs kqrbn’ mate in 5 chess problem generated by a computer program, Chesthetica, using the computational creativity approach which doesn’t use any kind of traditional AI or even 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. 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 11 pieces goes even beyond that and was therefore composed without any such help.

image.png

4B3/1P6/2q5/2k2K2/8/1P1Q2R1/1b1nr3/8 w – – 0 1
White to Play and Mate in 5
Chesthetica v11.32 (Selangor, Malaysia)
Generated on 3 Aug 2019 at 1:55:28 PM
Solvability Estimate = Moderate

Composing a chess puzzle or problem requires creativity and it’s not easy even for most humans. 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. If you’re bored of standard chess, though, why not try this?

Main Line of the Solution

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artificial intelligence, chess, games, puzzles, Uncategorized

Computer-Generated Chess Problem 02709

Here is a ‘KQRBP vs kbpp’ mate in 5 chess problem generated autonomously by the 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 (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.

image.png

8/8/4P3/8/3pk3/1b2B3/3KQp1R/8 w – – 0 1
White to Play and Mate in 5
Chesthetica v11.32 (Selangor, Malaysia)
Generated on 26 Jul 2019 at 3:57:17 PM
Solvability Estimate = Difficult

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. What was the machine ‘thinking’ when it came up with this? If this one is too easy or too difficult for you, try out some of the others. Collectively, these puzzles are intended to cater to players of all levels.

Main Line of the Solution

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artificial intelligence, chess, games, puzzles, Uncategorized

Computer-Generated Chess Problem 02690

Now, here we have a ‘KQRRBN vs kbbnn’ #5 chess puzzle created by a computer using the relatively new computational creativity approach called the ‘DSNS’. 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. instructing it to compose something using a queen, rook and bishop vs. queen and two knights). Read more about it on ChessBase. 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.

image.png

8/8/3nB1Q1/k1b5/1NbR3n/8/1R6/4K3 w – – 0 1
White to Play and Mate in 5
Chesthetica v11.20 (Selangor, Malaysia)
Generated on 16 Jun 2019 at 2:53:46 PM
Solvability Estimate = Moderate

What was the machine ‘thinking’ when it came up with this? Why not time yourself how long it took you to solve this? 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 02689

Take a look at this ‘KQRRP vs kqrrbbp’ 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, deep learning or any kind of traditional AI. There is no known limit to the quantity or type of compositions that can be generated. This position contains a total of 12 pieces. The largest endgame tablebase in existence today is for 7 pieces (containing over 500 trillion positions anyway) which means the problem could not have been taken from it regardless.

image.png

8/5K2/3r4/4bbk1/3rRR2/7P/2Q3p1/7q w – – 0 1
White to Play and Mate in 5
Chesthetica v11.25 (Selangor, Malaysia)
Generated on 16 Jun 2019 at 5:30:15 AM
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 actually has less material than Black. The white army is down by about 6 (Shannon) pawn units in value. 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 02682

Consider this ‘KRRBPPPPP vs kqrbbp’ mate in 5 chess puzzle or problem (whichever you wish to call it) composed by 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. The chess board is a virtually limitless canvas for the expression of creative ideas (even by computer). You can learn more about the DSNS here.

image.png

6b1/1K1P2pP/1PPbRr2/8/3k4/2R4q/3P4/1B6 w – – 0 1
White to Play and Mate in 5
Chesthetica v11.20 (Selangor, Malaysia)
Generated on 31 May 2019 at 8:28:18 PM
Solvability Estimate = Difficult

Hint: there might be a pawn promotion involved. 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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artificial intelligence, chess, games, puzzles, Uncategorized

Computer-Generated Chess Problem 02673

Here is a ‘KQRBNP vs krrbp’ five-move chess construct composed autonomously by 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. 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. Any chess position with this many pieces could not possibly have been obtained from known endgame databases. Chesthetica is therefore the real McCoy.

image.png

2K5/1p6/1R4Pr/2k5/3rQ2B/4b3/1N6/8 w – – 0 1
White to Play and Mate in 5
Chesthetica v11.20 (Selangor, Malaysia)
Generated on 25 May 2019 at 10:56:53 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. What was the machine ‘thinking’ when it came up with this? Did you find this one interesting or have something else to say? Leave a comment below! 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 02670

Take a look at this ‘KRRRN vs krbn’ mate in 5 chess problem generated autonomously by a computer 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. 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. This position contains a total of 9 pieces. The largest endgame tablebase in existence today is for 7 pieces (containing over 500 trillion positions anyway) which means the problem could not have been taken from it regardless.

image.png

6R1/8/8/8/4bR1K/1r6/2R3Nk/n7 w – – 0 1
White to Play and Mate in 5
Chesthetica v11.20 (Selangor, Malaysia)
Generated on 22 May 2019 at 9:36:53 AM
Solvability Estimate = Easy

Everything composed by Chesthetica is original. Try to solve this puzzle. Do try some of the others in the series as well before you go. 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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