artificial intelligence, chess, games, puzzles, Uncategorized

Computer-Generated Chess Problem 02628

Now, here we have a ‘KRNN vs kpp’ #5 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.

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3N4/8/5p2/7R/k7/1N6/6p1/2K5 w – – 0 1
White to Play and Mate in 5
Chesthetica v11.17 (Selangor, Malaysia)
Generated on 23 Apr 2019 at 4:04:37 PM
Solvability Estimate = Easy

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 is over a rook’s worth in material but the precise win in this position still needs to be found. 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.

Similar Problems by Chesthetica: 00499 02032 02335

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

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artificial intelligence, chess, games, puzzles, Uncategorized

Computer-Generated Chess Problem 02622

Here is a ‘KQRNN vs krbpp’ chess puzzle or problem (whichever you wish to call it) composed by a computer 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 10 pieces could have been taken from such a database.

K7/6N1/8/3Nb3/5p1k/5R2/1r4p1/3Q4 w – – 0 1
White to Play and Mate in 5
Chesthetica v11.17 (Selangor, Malaysia)
Generated on 21 Apr 2019 at 1:14:50 PM
Solvability Estimate = Easy

Most changes to Chesthetica that result in a slightly higher ‘version number’ are simply to improve the interface, by the way. Okay, let me think for a minute if there’s anything else to say here. 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 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 02617

What we have here is a ‘KQRN vs kqp’ chess problem generated autonomously by Chesthetica using the approach known as the DSNS from the sub-field of AI, computational creativity. You can learn about how these constructs are selected here.

4K3/8/8/1Q4R1/8/5N2/kq1p4/8 w – – 0 1
White to Play and Mate in 5
Chesthetica v11.17 (Selangor, Malaysia)
Generated on 20 Apr 2019 at 9:54:59 AM
Solvability Estimate = Moderate

What was the machine ‘thinking’ when it came up with this? Try to solve this as quickly as you can. If you like it, please share with your friends. Note that not all the chess problems are like this. They cover quite the spectrum of solving ability and there are thousands published already. If you’re bored of standard chess, though, why not try this?

Similar Problems by Chesthetica: 00335 02247

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

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artificial intelligence, chess, games, puzzles, Uncategorized

Computer-Generated Chess Problem 02611

Consider this ‘KQBN vs kqbppp’ #5 chess construct composed autonomously by 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. 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. 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.

7K/8/4Q1q1/1p1N4/1pk1p3/8/4b3/2B5 w – – 0 1
White to Play and Mate in 5
Chesthetica v11.17 (Selangor, Malaysia)
Generated on 19 Apr 2019 at 3:46:09 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. Get a glimpse into the ‘mind’ of a computer composer. 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 02610

Published online for the first time, consider this KRBNNP vs kqp mate in 5 chess puzzle or problem (whichever you wish to call it) composed by the 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. 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.

8/8/B3K3/2kN1p2/8/3P1NR1/8/q7 w – – 0 1
White to Play and Mate in 5
Chesthetica v11.14 (Selangor, Malaysia)
Generated on 19 Apr 2019 at 1:20:32 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. White is significantly ahead in material. 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.

A Similar Problem by Chesthetica: 01860

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

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artificial intelligence, chess, games, puzzles, Uncategorized

Computer-Generated Chess Problem 02609

Consider this ‘KQRPP vs krnpp’ five-move chess construct composed autonomously by 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. You can learn more about the DSNS here. 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 10 pieces goes even beyond that and was therefore composed without any such help.

3n1KQ1/2p5/2k5/4rp2/8/5PP1/8/1R6 w – – 0 1
White to Play and Mate in 5
Chesthetica v11.14 (Selangor, Malaysia)
Generated on 17 Apr 2019 at 5:55:23 PM
Solvability Estimate = Easy

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. 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 02607

A new if not unique KQRB vs kqrb 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. There is also no proven limit to the quantity or type of legal compositions that can be automatically generated.

6k1/8/5R2/1b6/8/5q2/1QK5/6Br w – – 0 1
White to Play and Mate in 5
Chesthetica v11.09 (Selangor, Malaysia)
Generated on 17 Apr 2019 at 8:19:17 AM
Solvability Estimate = Moderate

Humans have been composing original chess problems for over a thousand years. Now a computer can do it too. Everything composed by Chesthetica is original. Why not time yourself how long it took you to solve this? Feel free to copy the position into a chess engine and discover even more variations of the solution.

Similar Problems by Chesthetica: 00332 00597 02178

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

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