Computer-Generated Chess Problem 03143

This is an original ‘KQNNP vs kqrbp’ mate in 5 chess puzzle created by the program, 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). There is also no proven limit to the quantity or type of legal compositions that can be automatically generated. The position below contains 10 pieces which means it simply could not have been derived even from an existing endgame tablebase which is presently limited to 7 pieces.

8/Pq6/4r1Q1/4N3/5k2/8/p1K5/2N3b1 w – – 0 1
White to Play and Mate in 5
Chesthetica v12.18 (Selangor, Malaysia)
Generated on 30 Dec 2020 at 9:08:07 PM
Solvability Estimate = Difficult

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. Anyway, if standard chess isn’t your thing, you might instead like SSCC.

Solution

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Computer-Generated Chess Problem 03142

Here is a ‘KQRBP vs kqrrp’ mate in 3 chess puzzle or problem (whichever you wish to call it) composed by the program, 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. 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 (such as using only two bishops versus knight). Read more about it on ChessBase. The largest endgame tablebase in existence today is for 7 pieces (Lomonosov) which contains over 500 trillion positions, most of which have not and never will be seen by human eyes. This problem with 10 pieces goes even beyond that and was therefore composed without any such help whatsoever.

2R1r3/8/7Q/1B1k4/7r/2P1p3/3q4/6K1 w – – 0 1
White to Play and Mate in 3
Chesthetica v12.18 (Selangor, Malaysia)
Generated on 30 Dec 2020 at 7:21:49 PM
Solvability Estimate = Difficult

Chesthetica composes everything autonomously (no human intervention) and even chooses the main line of the solution to show you. Leave a comment below, if you like. Solving chess puzzles like this can also help improve your game.

Solution

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Computer-Generated Chess Problem 03141

Now, this is a ‘KQBN vs kp’ 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.

8/7K/7N/8/6Q1/6B1/6kp/8 w – – 0 1
White to Play and Mate in 3
Chesthetica v12.18 (Selangor, Malaysia)
Generated on 29 Dec 2020 at 11:55:06 PM
Solvability Estimate = Difficult

Some of the earliest chess problems by humans are over 10 centuries old but original ones by computer are very recent. 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. Anyway, if standard chess isn’t your thing, you might instead like SSCC.

Similar Problems by Chesthetica: 00014 00233 01644 01923 01933 03020

Solution

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Computer-Generated Chess Problem 03140

Contemplate this ‘KRRN vs kpp’ chess puzzle or problem (whichever you wish to call it) composed by the program, Chesthetica, 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.

8/8/8/1R6/8/1p2R3/p5KN/k7 w – – 0 1
White to Play and Mate in 5
Chesthetica v12.18 (Selangor, Malaysia)
Generated on 29 Dec 2020 at 10:39:19 PM
Solvability Estimate = Difficult

Humans have been composing original chess problems for over a thousand years. Now a computer can do it too. 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. Collectively, these puzzles are intended to cater to players of all levels.

Similar Problems by Chesthetica: 02170 02201 02989

Solution

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Computer-Generated Chess Problem 03139

Consider this ‘KQRNNP vs kqrrbbnn’ 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.

3b4/rn1Kn3/5Q2/2k5/RN1Nb3/2r3P1/8/4q3 w – – 0 1
White to Play and Mate in 5
Chesthetica v12.18 (Selangor, Malaysia)
Generated on 29 Dec 2020 at 7:24:32 PM
Solvability Estimate = Difficult

White actually has less material than Black yet still wins. The white army is down by about 10 (Shannon) pawn units in value. 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. Anyway, if standard chess isn’t your thing, you might instead like SSCC.

Solution

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