Chesthetica

Chesthetica

Chesthetica

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An original 'KQRBNNP vs kqrrbbn'study (learn more here: https://en.chessbase.com/post/best-chess-constructs-by-chessbase-readers) chess puzzle created 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). 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.

1K1R4/4b3/1k6/1N6/3r3q/2P1B3/2nN2r1/3Q3b w - - 0 1
White to Play and Win
Chesthetica v10.67 : Selangor, Malaysia
2018.6.12 5:10:13 PM

Okay, let me think for a minute if there's anything else to say here. 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.

Related Books: http://amazon.com/author/azlan_iqbal

A new if not unique KQBNN vs kqn mate in 5 chess puzzle or problem (whichever you wish to call it) composed by the program, Chesthetica, using the approach known as the DSNS from the sub-field of AI, computational creativity. The program can compose problems that may otherwise take decades, centuries or even longer for human composers to think of, or to arise in a real game.

8/4N2q/6N1/B1K5/7n/5k2/8/6Q1 w - - 0 1
White to Play and Mate in 5
Chesthetica v10.67 : Selangor, Malaysia
2018.6.12 3:27:29 PM

The chess problems are published chronologically based on the composition date and time. However, later compositions may have an earlier version of Chesthetica listed because more than one computer (not all running the same version of the program) is used. White is over a rook's worth in material but the precise win in this position still needs to be found. Leave a comment below if you like. Take some time to study the analysis and you might appreciate the puzzle a little more.

Related Books: http://amazon.com/author/azlan_iqbal

Now, here we have a 'KRBNPP vs krbnpp' study-like construct or chess puzzle created by the 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. 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 (e.g. composing something original using only a rook vs. five pawns). (Read more about it on ChessBase: https://en.chessbase.com/tagged?tag=Chesthetica). This position contains a total of 12 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. Any analysis shown for this study could be flawed as chess engines may change their recommendations given more time. The first or key move, at least, is probably right.

3B4/7b/2K1k3/P7/2p2RPn/6r1/3Np3/8 w - - 0 1
White to Play and Win
Chesthetica v10.67 : Selangor, Malaysia
2018.6.12 7:20:17 AM

Chesthetica composes only unique or new constructs (learn more here: https://en.chessbase.com/post/azlan-iqbal-introducing-chess-constructs). 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.

Related Books: http://amazon.com/author/azlan_iqbal

Consider this 'KQRRBNPP vs kqrrbnnp' study-like construct or chess construct generated by Chesthetica using the approach known as the DSNS from the sub-field of AI, computational creativity. (Learn more about the DSNS here: https://arxiv.org/abs/1507.07058). 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 16 pieces goes even beyond that and was therefore composed without any such help.

6n1/5K2/R7/1kr5/3n4/PN2PQpR/1b1B4/3q2r1 w - - 0 1
White to Play and Win
Chesthetica v10.67 : Selangor, Malaysia
2018.6.11 8:31:51 PM

White actually has less material than Black yet still wins. The white army is down by about 2 (Shannon) pawn units in value. 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.

Related Books: http://amazon.com/author/azlan_iqbal

Here is a new 'KRRP vs knn' five-move 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. There is no known limit to the quantity or type of compositions that can be generated.

1Rn2n2/8/8/8/2K5/8/RP6/2k5 w - - 0 1
White to Play and Mate in 5
Chesthetica v10.67 : Selangor, Malaysia
2018.6.11 5:23:43 PM

The chess problems are published chronologically based on the composition date and time. However, later compositions may have an earlier version of Chesthetica listed because more than one computer (not all running the same version of the program) is used. Okay, let me think for a minute if there's anything else to say here. Try to solve this as quickly as you can. If you like it, please share with others. Solving chess puzzles like this can also help improve your game.

Related Books: http://amazon.com/author/azlan_iqbal

What we have here is a 'KRNPPP vs krbb' chess problem generated 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. There is also no proven limit to the quantity or type of legal compositions that can be automatically generated. 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.

4N3/6P1/2b4k/4b1RP/7P/3K4/r7/8 w - - 0 1
White to Play and Mate in 4
Chesthetica v10.67 : Selangor, Malaysia
2018.6.11 2:03:38 PM

Material is even. 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.

Related Books: http://amazon.com/author/azlan_iqbal

A new if not unique KQBBN vs kqb mate in 4 chess puzzle or problem (whichever you wish to call it) composed by the program, Chesthetica, using the DSNS computational creativity approach which doesn't use any kind of traditional AI. (Learn more about the DSNS here: https://arxiv.org/abs/1507.07058). 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 8 pieces goes even beyond that and was therefore composed without any such help.

5Nk1/8/3B2B1/2Q5/8/7K/2b2q2/8 w - - 0 1
White to Play and Mate in 4
Chesthetica v10.67 : Selangor, Malaysia
2018.6.10 9:28:49 AM

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. Remarkably, Chesthetica never composes duplicate problems using its DSNS technology. 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.

Related Books: http://amazon.com/author/azlan_iqbal

A new if not unique KQRRP vs krnn four-move chess construct generated by Chesthetica using the DSNS computational creativity approach which doesn't use any kind of traditional AI. 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 (e.g. composing something original using only three pawns vs. a knight). (Read more about it on ChessBase: https://en.chessbase.com/tagged?tag=Chesthetica). 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/R7/2n1K3/8/2R2Q2/4P1n1/1r6/1k6 w - - 0 1
White to Play and Mate in 4
Chesthetica v10.67 : Selangor, Malaysia
2018.6.10 7:14:28 AM

Composing a chess puzzle or problem requires creativity and it's not easy even for most humans. White is over a rook's worth in material but the precise win in this position still needs to be found. 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.

Related Books: http://amazon.com/author/azlan_iqbal

Contemplate this 'KRBP vs kp' mate in 4 chess puzzle or problem (whichever you wish to call it) composed 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.

8/4Pk2/8/7K/1B6/4p1R1/8/8 w - - 0 1
White to Play and Mate in 4
Chesthetica v10.67 : Selangor, Malaysia
2018.6.10 5:43:16 AM

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 over a rook's worth in material but the precise win in this position still needs to be found. Did you find this one interesting or have something else to say? Leave a comment below! Feel free to copy the position into a chess engine and discover even more variations of the solution.

Related Books: http://amazon.com/author/azlan_iqbal

Contemplate this 'KRRBN vs krnp' chess puzzle or problem (whichever you wish to call it) composed by the 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. There is also no proven limit to the quantity or type of legal compositions that can be automatically generated. 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 9 pieces goes even beyond that and was therefore composed without any such help whatsoever.

R7/2K5/8/8/6p1/6r1/1R1N4/1n1k1B2 w - - 0 1
White to Play and Mate in 5
Chesthetica v10.67 : Selangor, Malaysia
2018.6.9 7:49:24 PM

Composing a chess puzzle or problem requires creativity and it's not easy even for most humans. White is over a rook's worth in material but the precise win in this position still needs to be found. Why not time yourself how long it took you to solve this? 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.

Related Books: http://amazon.com/author/azlan_iqbal

Contemplate this 'KBNPPP vs kbbnnp' study-like 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, neural networks or any kind of machine learning found in traditional AI. Any chess position over 7 pieces could not possibly have been derived from an endgame tablebase which today is limited to 7 pieces. The solution shown for this study may not be the best line possible because it depends on the engine that was used and how much time it had to analyze. Regardless, the first move and overall evaluation (e.g. win, draw) should be right.

8/8/2P3P1/k2n2B1/8/4p1K1/2bP4/2N1n1b1 w - - 0 1
White to Play and Draw
Chesthetica v10.67 : Selangor, Malaysia
2018.6.9 1:37:39 AM

The chess problems are published chronologically based on the composition date and time. However, later compositions may have an earlier version of Chesthetica listed because more than one computer (not all running the same version of the program) is used. White actually has less material than Black yet still wins. The white army is down by about 4 (Shannon) pawn units in value. If this one is too easy or too difficult for you, try out some of the others.

Related Books: http://amazon.com/author/azlan_iqbal

Contemplate this 'KQNN vs kbppp' mate in 5 chess problem generated by the prototype computer program, Chesthetica, using the Digital Synaptic Neural Substrate AI computational creativity method. 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.

8/8/6p1/1N6/8/p3pKN1/2k4b/7Q w - - 0 1
White to Play and Mate in 5
Chesthetica v10.67 : Selangor, Malaysia
2018.6.8 10:01:06 PM

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. 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.

Related Books: http://amazon.com/author/azlan_iqbal

Here is a new 'KBBNP vs kpppp' #5 chess puzzle or problem (whichever you wish to call it) composed 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. (Learn more about the DSNS here: https://arxiv.org/abs/1507.07058).

8/7K/5pP1/3N4/8/1p1p3k/3B3p/7B w - - 0 1
White to Play and Mate in 5
Chesthetica v10.67 : Selangor, Malaysia
2018.6.8 9:01:19 AM

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. Note that not all the chess problems are like this. They cover quite the spectrum of solving ability and there are thousands published already.

Related Books: http://amazon.com/author/azlan_iqbal

Now, here we have a 'KBBNNP vs knp' four-move chess puzzle created by Chesthetica using the DSNS computational creativity approach which doesn't use any kind of traditional AI. (Learn more about the DSNS here: https://arxiv.org/abs/1507.07058). 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.

8/7N/B5K1/8/4k1N1/1n2P3/6p1/6B1 w - - 0 1
White to Play and Mate in 4
Chesthetica v10.67 : Selangor, Malaysia
2018.6.8 7:50:05 AM

White is over a rook's worth in material but the precise win in this position still needs to be found. Did you find this one interesting or have something else to say? Leave a comment below! Feel free to copy the position into a chess engine and discover even more variations of the solution.

Related Books: http://amazon.com/author/azlan_iqbal

This is an original 'KPPP vs kn' three-move chess problem generated autonomously by a computer using the 'DSNS' computational creativity approach which does not use any kind of machine or deep learning. (Learn more about the DSNS here: https://arxiv.org/abs/1507.07058).

8/PP5P/8/8/2Kn4/8/8/k7 w - - 0 1
White to Play and Mate in 3
Chesthetica v10.67 : Selangor, Malaysia
2018.6.7 11:35:25 PM

Composing a chess puzzle or problem requires creativity and it's not easy even for most humans. The material value is about equal. Hint: there might be a pawn promotion involved. Leave a comment below if you like. Over time, the tactics you see in these puzzles will help you improve your game.

Related Books: http://amazon.com/author/azlan_iqbal

Published online for the first time, consider this KQRBB vs krrn mate in 4 chess problem generated by a computer 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. 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 (e.g. instructing it to compose something using perhaps two queens vs. four rooks). (Read more about it on ChessBase: https://en.chessbase.com/tagged?tag=Chesthetica). 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.

2n1k3/4B3/3r2R1/3Q4/4r3/7B/8/K7 w - - 0 1
White to Play and Mate in 4
Chesthetica v10.67 : Selangor, Malaysia
2018.6.7 9:00:29 AM

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 your friends. As a whole, these problems are intended to cater to players of all skill levels.

Related Books: http://amazon.com/author/azlan_iqbal

Here is a new 'KBPPP vs kbn' chess construct generated by a computer 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. 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 8 pieces goes even beyond that and was therefore composed without any such help.

8/1PKB4/kP6/8/n1P5/2b5/8/8 w - - 0 1
White to Play and Mate in 3
Chesthetica v10.67 : Selangor, Malaysia
2018.6.6 5:17:13 PM

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. If this one is too easy or too difficult for you, try out some of the others. As a whole, these problems are intended to cater to players of all skill levels.

Related Books: http://amazon.com/author/azlan_iqbal

Now, here we have a 'KRBPPP vs krrp' #4 chess puzzle or problem (whichever you wish to call it) composed by the prototype 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. (Learn more about the DSNS here: https://arxiv.org/abs/1507.07058).

8/2r1P1kP/p7/1R6/4B1PK/8/6r1/8 w - - 0 1
White to Play and Mate in 4
Chesthetica v10.67 : Selangor, Malaysia
2018.6.6 4:56:37 PM

The chess problems are published chronologically based on the composition date and time. However, later compositions may have an earlier version of Chesthetica listed because more than one computer (not all running the same version of the program) is used. The material value is about equal. 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. Feel free to copy the position into a chess engine and discover even more variations of the solution.

Related Books: http://amazon.com/author/azlan_iqbal

This is an original 'KNNNPP vs kbpp' chess construct generated by the prototype computer program, Chesthetica, using the Digital Synaptic Neural Substrate AI computational creativity method. There is also no proven limit to the quantity or type of legal compositions that can be automatically generated. 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.

8/kp6/N7/K2b1P2/8/P1p5/3N3N/8 w - - 0 1
White to Play and Win
Chesthetica v10.67 : Selangor, Malaysia
2018.6.5 4:10:05 PM

Everything composed by Chesthetica is original. Do share and try out some of the others too. Feel free to copy the position into a chess engine and discover even more variations of the solution.

Related Books: http://amazon.com/author/azlan_iqbal

A newly published and original KQRBN vs kqrbb chess construct generated by the prototype computer 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. 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 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.

R2q4/8/B1b5/3N2r1/7Q/2K5/5b2/3k4 w - - 0 1
White to Play and Mate in 5
Chesthetica v10.63 : Selangor, Malaysia
2018.6.4 5:41:32 AM

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. Note that not all the chess problems are like this. They cover quite the spectrum of solving ability and there are thousands published already.

Related Books: http://amazon.com/author/azlan_iqbal

Take a look at this 'KQRB vs kqqpp' mate in 5 chess problem generated by the prototype computer program, Chesthetica, using the 'Digital Synaptic Neural Substrate' computational creativity approach which does not use any kind of deep learning. There is no known limit to the quantity or type of compositions that can be generated. 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.

8/8/7K/q6R/4p3/7B/k6p/6Qq w - - 0 1
White to Play and Mate in 5
Chesthetica v10.64 : Selangor, Malaysia
2018.6.1 9:28:12 PM

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. Why not time yourself how long it took you to solve this? Over time, the tactics you see in these puzzles will help you improve your game.

Related Books: http://amazon.com/author/azlan_iqbal

A new if not unique KRRBP vs kbpp mate in 3 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. 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.

R7/p1P5/kp4K1/8/1bR5/8/8/3B4 w - - 0 1
White to Play and Mate in 3
Chesthetica v10.67 : Selangor, Malaysia
2018.6.1 11:40:18 AM

Humans have been composing original chess problems for over a thousand years. Now a computer can do it too. 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. Feel free to copy the position into a chess engine and discover even more variations of the solution.

Related Books: http://amazon.com/author/azlan_iqbal

A new if not unique KRN vs kp #5 chess puzzle or problem (whichever you wish to call it) composed by the 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.

3Nk3/8/8/3K4/8/R5p1/8/8 w - - 0 1
White to Play and Mate in 5
Chesthetica v10.67 : Selangor, Malaysia
2018.6.1 11:18:08 AM

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 your friends. Solving chess puzzles like this can also help improve your game.

Related Books: http://amazon.com/author/azlan_iqbal

Contemplate this 'KQR vs kqrr' five-move chess puzzle or problem (whichever you wish to call it) composed by a computer using the approach known as the DSNS from the sub-field of AI, computational creativity. There is no known limit to the quantity or type of compositions that can be generated.

3R4/8/5K2/3q3k/8/8/Q3r3/6r1 w - - 0 1
White to Play and Mate in 5
Chesthetica v10.64 : Selangor, Malaysia
2018.5.31 12:22:15 AM

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. Okay, let me think for a minute if there's anything else to say here. 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.

Related Books: http://amazon.com/author/azlan_iqbal

Contemplate this 'KRRP vs kb' three-move chess problem generated by a computer using the DSNS computational creativity approach which doesn't use any kind of traditional AI.

8/8/3b4/3K2R1/k7/2R5/1P6/8 w - - 0 1
White to Play and Mate in 3
Chesthetica v10.67 : Selangor, Malaysia
2018.5.30 8:40:16 AM

Composing a chess puzzle or problem requires creativity and it's not easy even for most humans. White is over a rook's worth in material but the precise win in this position still needs to be found. Why not time yourself how long it took you to solve this? Note that not all the chess problems are like this. They cover quite the spectrum of solving ability and there are thousands published already.

Related Books: http://amazon.com/author/azlan_iqbal

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The world's most advanced automatic chess problem composer.