Computer-Generated Chess Problem 03854

A ‘KQBNP vs kbp’ chess construct composed autonomously by a computer 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.

8/3Qp3/8/2k5/2N5/KB1Pb3/8/8 w – – 0 1
White to Play and Mate in 3
Chesthetica v12.60 (Selangor, Malaysia)
Generated on 9 Sep 2022 at 11:23:45 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. White is ahead by a queen and a knight. Did you find this one interesting or have something else to say? Leave a comment below! Over time, the tactics you see in these puzzles will help you improve your game.

Similar Problems by Chesthetica: 00073 00451 01252 02476

Solution

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Computer-Generated Chess Problem 03853

A ‘KQNP vs kbpp’ chess construct composed autonomously by a computer program, Chesthetica, using the DSNS computational creativity approach which does not use any kind of machine or 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.

4N3/1Q3p2/3K3k/6p1/b6P/8/8/8 w – – 0 1
White to Play and Mate in 5
Chesthetica v12.60 (Selangor, Malaysia)
Generated on 9 Sep 2022 at 12:07:48 AM
Solvability Estimate = Difficult

Most changes to Chesthetica that result in a slightly higher version number are simply to improve the interface or fix a minor bug, by the way. White is over a rook’s worth in material but the precise win in this position still needs to be found. Try to solve this as quickly as you can. If you like it, please share with others. If you’re wondering how complex some chess problems can get, read this.

Solution

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Computer-Generated Chess Problem 03852

Now, here we have a ‘KQBBP vs kqrnp’ 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. You can learn more about the DSNS here. Noteworthy here is that a chess position with over seven pieces would not likely have been derived or taken from an endgame tablebase because seven pieces is the present limit. A complete or full tablebase for eight pieces does not yet exist.

8/5B2/7B/qn1P4/5Q2/3k3K/r1p5/8 w – – 0 1
White to Play and Mate in 5
Chesthetica v12.60 (Selangor, Malaysia)
Generated on 8 Sep 2022 at 4:26:37 PM
Solvability Estimate = Difficult

Most changes to Chesthetica that result in a slightly higher version number are simply to improve the interface or fix a minor bug, by the way. White has two bishops for Black’s knight and rook. Do share and try out some of the others too. Take some time to study the analysis and you might appreciate the puzzle a little more.

Solution

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Computer-Generated Chess Problem 03851

An original ‘KQBB vs kqbp’ mate in four chess problem generated autonomously 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 artificial intelligence (AI). 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 eight pieces. The largest complete endgame tablebase in existence today is for seven pieces (containing over 500 trillion positions anyway) which means the problem could not have been taken from it regardless.

2B2K2/8/7k/6p1/3B4/2Q5/5b2/6q1 w – – 0 1
White to Play and Mate in 4
Chesthetica v12.60 (Selangor, Malaysia)
Generated on 8 Sep 2022 at 3:37:23 PM
Solvability Estimate = Difficult

Even with the same version number, each copy of Chesthetica ‘evolves’ and may perform somewhat differently over time. Okay, let me think for a minute if there’s anything else to say here. Why not time yourself how long it took you to solve this? Feel free to copy the position into a chess engine and potentially discover even more variations.

Solution

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Computer-Generated Chess Problem 03850

A ‘KQNN vs krrnn’ 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. Any chess position over seven pieces would likely not have been derived from an endgame tablebase which today is limited to seven pieces. Work has only recently begun on one for eight pieces.

8/2r1n3/8/6n1/5N2/3Q4/r4k1K/6N1 w – – 0 1
White to Play and Mate in 4
Chesthetica v12.60 (Selangor, Malaysia)
Generated on 7 Sep 2022 at 2:19:39 PM
Solvability Estimate = Difficult

Even with the same version number, each copy of Chesthetica ‘evolves’ and may perform somewhat differently over time. White actually has less material than Black. The white army is down by about one (Shannon) pawn units in value. 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.

Solution

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