Uncategorized, chess, artificial intelligence, games, puzzles

Computer-Generated Chess Problem 02724

A ‘KRBBNP vs krbpp’ mate in 3 chess problem generated autonomously by a computer 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. There is no known limit to the quantity or type of compositions that can be generated. 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.

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3N4/3p3K/2B2p2/5r1k/6R1/6bP/8/2B5 w – – 0 1
White to Play and Mate in 3
Chesthetica v11.32 (Selangor, Malaysia)
Generated on 13 Aug 2019 at 2:57:33 PM
Solvability Estimate = Difficult

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 everything autonomously (no human intervention) and even chooses the main line of the solution to show you. 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.

A Similar Problem by Chesthetica: 01357

Solution

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artificial intelligence, chess, games, puzzles, Uncategorized

Computer-Generated Chess Problem 02723

A newly published and original KQRB vs kqrrp chess problem generated autonomously by 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. There is also no proven limit to the quantity or type of legal compositions that can be automatically 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.

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3q4/2Q5/1p6/1k5K/R7/rBr5/8/8 w – – 0 1
White to Play and Mate in 3
Chesthetica v11.32 (Selangor, Malaysia)
Generated on 12 Aug 2019 at 11:38:09 PM
Solvability Estimate = Difficult

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 actually has less material than Black. The white army is down by about 3 (Shannon) pawn units in value. 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.

A Similar Problem by Chesthetica: 00151

Main Line of the Solution

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artificial intelligence, chess, games, puzzles, Uncategorized

Computer-Generated Chess Problem 02722

Now, this is a ‘KQBNP vs kqrpp’ chess puzzle created 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. You can learn about how these constructs are selected here. This position contains a total of 10 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.

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3B1kr1/3P1pp1/8/4N1K1/8/6Q1/8/q7 w – – 0 1
White to Play and Mate in 3
Chesthetica v11.32 (Selangor, Malaysia)
Generated on 12 Aug 2019 at 11:21:50 AM
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. Material is even. 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. 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: 00925

Main Line of the Solution

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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.

image.png

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.

image.png

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

Main Line of the Solution

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artificial intelligence, chess, games, puzzles, Uncategorized

Computer-Generated Chess Problem 02718

An original ‘KQBN vs kqbp’ mate in 3 chess problem generated by the program, Chesthetica, using the computational creativity approach which doesn’t use any kind of traditional AI or even deep learning.

image.png

1K6/4k3/5q1N/3Q4/7B/3b4/3p4/8 w – – 0 1
White to Play and Mate in 3
Chesthetica v11.32 (Selangor, Malaysia)
Generated on 6 Aug 2019 at 11:13:31 PM
Solvability Estimate = Difficult

The chess problems are published chronologically based on the composition date and time. However, later compositions may have an earlier version of Chesthetica listed because more than one computer (not all running the same version of the program) is used. What was the machine ‘thinking’ when it came up with this? Solving chess puzzles like this can also help improve your game.

A Similar Problem by Chesthetica: 02324

Main Line of the Solution

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