artificial intelligence, chess, games, puzzles, Uncategorized

Computer-Generated Chess Problem 02354

Contemplate this ‘KQQN vs krrnp’ chess problem generated autonomously by a computer program, Chesthetica, using the relatively new computational creativity approach called the ‘DSNS’. Chesthetica is capable of composing positions that may otherwise take centuries or longer to arise in an actual game; so you can enjoy them right now instead.

6k1/2r2p2/r4Q2/6NK/8/2n5/8/2Q5 w – – 0 1
White to Play and Mate in 4
Chesthetica v10.82 : Selangor, Malaysia
2018.11.5 4:25:55 AM
Solvability Estimate = Difficult

Okay, let me think for a minute if there’s anything else to say here. If this one is too easy or too difficult for you, try out some of the others. Take some time to study the analysis and you might appreciate the puzzle a little more.

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

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artificial intelligence, chess, games, puzzles, Uncategorized

Computer-Generated Chess Problem 02353

A new if not unique KRBNN vs kbpp chess problem generated by the program, Chesthetica, 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. Chesthetica is able to generate 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 a queen vs. rook and knight). Read more about it on ChessBase.

8/8/4b3/8/1R6/Kp6/B4pN1/k3N3 w – – 0 1
White to Play and Mate in 5
Chesthetica v10.78 : Selangor, Malaysia
2018.11.5 12:38:46 AM
Solvability Estimate = Difficult

Some of the earliest chess problems by humans are over 10 centuries old but original ones by computer are very recent. 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. 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?

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

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artificial intelligence, chess, games, puzzles, Uncategorized

Computer-Generated Chess Problem 02352

Contemplate this ‘KQB vs kqq’ #4 chess puzzle created by a computer using the ‘DSNS’ computational creativity approach which does not use any kind of machine or deep learning.

8/1K6/8/B5q1/8/3Q4/8/q6k w – – 0 1
White to Play and Mate in 4
Chesthetica v10.82 : Selangor, Malaysia
2018.11.4 1:19:38 PM
Solvability Estimate = Moderate

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. 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 is probably good for your health as it keeps your brain active. Nobody wants something like early-onset Alzheimer’s.

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

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artificial intelligence, chess, games, puzzles, Uncategorized

Computer-Generated Chess Problem 02351

Contemplate this ‘KQPPP vs kqbp’ #5 chess puzzle created by the 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 AI. 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.

8/1q4Pp/4P2k/8/2K5/5QPb/8/8 w – – 0 1
White to Play and Mate in 5
Chesthetica v10.82 : Selangor, Malaysia
2018.11.3 9:44:28 AM
Solvability Estimate = Easy

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 actually has less material than Black yet still wins. The white army is down by about 1 (Shannon) pawn units in value. Leave a comment below, if you like. Take some time to study the analysis and you might appreciate the puzzle a little more.

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

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artificial intelligence, chess, games, puzzles, Uncategorized

Computer-Generated Chess Problem 02350

Take a look at this ‘KBNPPP vs kbnn’ chess problem generated autonomously by a 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. 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.

5b2/3PknB1/2Pn1N2/6P1/5K2/8/8/8 w – – 0 1
White to Play and Mate in 3
Chesthetica v10.82 : Selangor, Malaysia
2018.11.2 11:42:08 PM
Solvability Estimate = Moderate

Chesthetica, especially if running on multiple computers or operating system user accounts, is capable of generating far too many compositions than can be published in a timely fashion here. The newer ones will therefore only be published some time later. This is why the composition date above does not match today’s date. Get a glimpse into the ‘mind’ of a computer composer. 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.

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

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artificial intelligence, chess, games, puzzles, Uncategorized

Computer-Generated Chess Problem 02349

Published online for the first time, consider this KNNN vs kp chess construct composed autonomously by Chesthetica using the approach known as the DSNS from the sub-field of AI, computational creativity. You can learn more about the DSNS here.

3kNK2/3N4/5N2/8/3p4/8/8/8 w – – 0 1
White to Play and Mate in 4
Chesthetica v10.82 : Selangor, Malaysia
2018.11.2 10:24:46 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. 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 puzzle. Do try some of the others in the series as well before you go. Solving chess puzzles like this can also help improve your game. Anyway, if standard chess isn’t your thing, you might instead like SSCC.

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

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artificial intelligence, chess, games, puzzles, Uncategorized

Computer-Generated Chess Problem 02348

Now, here we have a ‘KRRNN vs kpp’ four-move chess construct composed autonomously by the prototype computer 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. This position contains a total of 8 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.

8/8/3p4/3k4/2RNp3/1R6/3K3N/8 w – – 0 1
White to Play and Mate in 4
Chesthetica v10.82 : Selangor, Malaysia
2018.11.1 12:53:42 PM
Solvability Estimate = Easy

A seemingly earlier version of Chesthetica on a problem composed later (based on the date and time stamp) simply means that version may have been running on a different computer or operating system user account. White has a decisive material advantage in this position but the winning sequence may not be immediately clear. If this one is too easy or too difficult for you, try out some of the others. Take some time to study the analysis and you might appreciate the puzzle a little more.

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

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