Computer-Generated Chess Problem 03010

A newly published and original KQRNP vs kqrr three-move chess construct composed autonomously by Chesthetica using the relatively new computational creativity approach called the ‘DSNS’. You can learn more about the DSNS here. The position below contains 9 pieces which means it simply could not have been derived even from an existing endgame tablebase which is presently limited to 7 pieces.

5r1r/6P1/5k2/4N2R/7K/3Q4/2q5/8 w – – 0 1
White to Play and Mate in 3
Chesthetica v11.85 (Selangor, Malaysia)
Generated on 10 Aug 2020 at 4:04:51 AM
Solvability Estimate = Difficult

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

Solution

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Computer-Generated Chess Problem 03009

Take a look at this ‘KQRN vs kqbnpp’ mate in 3 chess puzzle created by the program, Chesthetica, using the ‘Digital Synaptic Neural Substrate’ computational creativity approach which does not use any kind of deep learning. After years of development, Chesthetica is able to use the technology to express original creative thought in this domain. Note that it also never had millions of IBM or Google dollars behind it. Chesthetica is able to generate mates in 2, 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. Any chess position with this many pieces could not possibly have been obtained from known endgame databases. Chesthetica is therefore the real McCoy.

3K4/1b3q2/2k4N/1ppR4/2Q5/3n4/8/8 w – – 0 1
White to Play and Mate in 3
Chesthetica v11.85 (Selangor, Malaysia)
Generated on 8 Aug 2020 at 3:34:32 PM
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. Chesthetica composes everything autonomously (no human intervention) and even chooses the main line of the solution to show you. Why not time yourself how long it took you to solve this? Solving chess puzzles like this can also help improve your game.

A Similar Problem by Chesthetica: 00131

Solution

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Computer-Generated Chess Problem 03008

Consider this ‘KQRBN vs kqrb’ forced mate in two chess construct composed autonomously by the prototype computer program, Chesthetica, using the DSNS computational creativity approach which doesn’t use any kind of traditional AI. 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.

8/1B6/8/1q1N2K1/2k5/Q7/1b6/5R1r w – – 0 1
White to Play and Mate in 2
Chesthetica v11.85 (Selangor, Malaysia)
Generated on 7 Aug 2020 at 11:48:09 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 you think you could have composed something better with these pieces? Share in the comments and let us know how long it took you. Collectively, these puzzles are intended to cater to players of all levels.

Solution

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Computer-Generated Chess Problem 03007

A ‘KBNPP vs krbn’ forced mate in three chess problem generated autonomously by a computer program, Chesthetica, using the relatively new computational creativity approach called the ‘DSNS’. There is no known limit to the quantity or type of compositions that can be generated. 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 9 pieces goes even beyond that and was therefore composed without any such help.

4bkr1/2N2P1P/5n2/4K3/7B/8/8/8 w – – 0 1
White to Play and Mate in 3
Chesthetica v11.85 (Selangor, Malaysia)
Generated on 7 Aug 2020 at 4:27:40 AM
Solvability Estimate = Difficult

Try to solve this as quickly as you can. If you like it, please share with your friends. Take some time to study the analysis and you might appreciate the puzzle a little more. If you’re bored of standard chess, though, why not try this?

Solution

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Computer-Generated Chess Problem 03006

Now, here we have a ‘KRNNP vs krnn’ mate in 3 chess problem generated by the prototype computer program, 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. 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.

5rkn/5nPR/6N1/4N3/8/8/3K4/8 w – – 0 1
White to Play and Mate in 3
Chesthetica v11.83 (Selangor, Malaysia)
Generated on 6 Aug 2020 at 6:51:36 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. Everything composed by Chesthetica is original. Why not time yourself how long it took you to solve this? Solving chess puzzles like this can be good for your health as it keeps your brain active. It may even delay or prevent dementia.

Solution

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