Chesthetica

Chesthetica

Chesthetica

subscribers

A 'KNPP vs kqrrnp' mate in 3 chess puzzle created 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. 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. to compose something using a rook, bishop, knight and three pawns vs. a queen and a rook). (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 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/q1P1P3/1rkrN3/1n1p3K/8/8/8/8 w - - 0 1
White to Play and Mate in 3
Chesthetica v10.69 : Selangor, Malaysia
2018.7.9 7:54:02 PM

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

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

Here is a new 'KRRN vs kpp' mate in 4 chess problem generated autonomously by the program, Chesthetica, using the 'DSNS' computational creativity approach which does not use any kind of machine or 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: https://en.chessbase.com/tagged?tag=Chesthetica).

8/2K5/8/k7/1p2N3/8/2p1R2R/8 w - - 0 1
White to Play and Mate in 4
Chesthetica v10.69 : Selangor, Malaysia
2018.7.9 2:16:35 PM

Everything composed by Chesthetica is original. 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 newly published and original KRBN vs kp chess problem generated 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. There is also no proven limit to the quantity or type of legal compositions that can be automatically generated.

8/4p3/3R4/5B2/8/6k1/8/4N1K1 w - - 0 1
White to Play and Mate in 4
Chesthetica v10.69 : Selangor, Malaysia
2018.7.9 1:40:12 AM

White has a decisive material advantage in this position but the winning sequence may not be immediately clear. Try to solve this as quickly as you can. If you like it, please share with your friends. Collectively, these puzzles are intended to cater to players of all levels.

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

Now, here we have a 'KRBNPP vs krpp' mate in 4 chess puzzle created by the program, Chesthetica, using the computational creativity approach which doesn't use any kind of traditional AI or even deep learning. 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.

5k2/7K/3p2PP/3BN1p1/8/8/7R/1r6 w - - 0 1
White to Play and Mate in 4
Chesthetica v10.69 : Selangor, Malaysia
2018.7.8 11:14:52 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. Solving chess puzzles like this can also help improve your game.

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

Take a look at this 'KRBB vs kppp' chess problem generated autonomously by 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. 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 two bishops versus knight). (Read more about it on ChessBase: https://en.chessbase.com/tagged?tag=Chesthetica). The position below contains 8 pieces which means it simply could not have been derived even from an existing endgame tablebase which is presently limited to 7 pieces.

8/8/1K1B2B1/1R6/2k5/p2p4/4p3/8 w - - 0 1
White to Play and Mate in 5
Chesthetica v10.69 : Selangor, Malaysia
2018.7.8 10:16:48 PM

Chess puzzles are ancient. Some are over a thousand years old but only in the 21st century have computers been able to compose original ones on their own like humans can. Okay, let me think for a minute if there's anything else to say here. Did you find this one interesting or have something else to say? Leave a comment below! 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 'KQRBNPPP vs kqrrbnp'study (learn more here: https://en.chessbase.com/post/best-chess-constructs-by-chessbase-readers) chess construct 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. The chess board is a virtually limitless canvas for the expression of creative ideas (even by computer). (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 15 pieces goes even beyond that and was therefore composed without any such help. 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.

2q3Q1/1r6/5KN1/1P2pn2/1B6/5P1R/2r1bP2/1k6 w - - 0 1
White to Play and Win
Chesthetica v10.69 : Selangor, Malaysia
2018.7.7 11:53:53 PM

Everything composed by Chesthetica is original. Leave a comment below if you like. Collectively, these puzzles are intended to cater to players of all levels.

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

A 'KRB vs kpp' four-move chess problem generated by 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.

8/8/R7/2p5/B7/K7/7p/k7 w - - 0 1
White to Play and Mate in 4
Chesthetica v10.69 : Selangor, Malaysia
2018.7.7 8:49:19 PM

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 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?

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

Here is a new 'KQRBBP vs kqrrb' mate in 5 chess construct generated by a computer program, Chesthetica, 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. 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).

2q5/8/4b3/rP2Q3/B1kB1K2/8/1Rr5/8 w - - 0 1
White to Play and Mate in 5
Chesthetica v10.67 : Selangor, Malaysia
2018.7.6 6:35:38 PM

Now, let's see what else there is to say. Give me a moment. Do share and try out some of the others too. 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 'KQB vs kqr' five-move chess problem generated autonomously by a computer using the Digital Synaptic Neural Substrate AI computational creativity method.

7B/8/8/8/7K/5Q2/1r5k/1q6 w - - 0 1
White to Play and Mate in 5
Chesthetica v10.69 : Selangor, Malaysia
2018.7.6 5:55:55 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. White actually has less material than Black yet still wins. The white army is down by about 2 (Shannon) pawn units in value. 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.

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

Published online for the first time, consider this KBNNNPPPP vs knpppppp study-like construct or chess problem generated autonomously by 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. 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. 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.

6k1/5p2/5B2/nKp1PP2/1pP5/4Npp1/1pN2PN1/8 w - - 0 1
White to Play and Win
Chesthetica v10.69 : Selangor, Malaysia
2018.7.6 4:27:28 AM

White is over a rook's worth in material but the precise win in this position still needs to be found. Looking at the position, it is somewhat cluttered. 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 KBNP vs kpp #4 chess problem generated autonomously by Chesthetica using the relatively new computational creativity approach called the 'DSNS'. (Learn more about the DSNS here: https://arxiv.org/abs/1507.07058).

8/8/1p3N2/8/3B3k/5K2/6Pp/8 w - - 0 1
White to Play and Mate in 4
Chesthetica v10.67 : Selangor, Malaysia
2018.7.6 12:09:08 AM

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 is significantly ahead in material. Try to solve this puzzle. Do try some of the others in the series as well before you go. As a whole, these problems are intended to cater to players of all skill levels.

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

Take a look at this 'KQBNP vs kb' #3 chess puzzle created by a computer 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.

8/4B3/4b3/5N2/8/1k6/3P1Q2/1K6 w - - 0 1
White to Play and Mate in 3
Chesthetica v10.67 : Selangor, Malaysia
2018.7.5 5:29:44 AM

White has a decisive material advantage in this position but the winning sequence may not be immediately clear. Try to solve this as quickly as you can. If you like it, please share with others. 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

A new if not unique KRBBNN vs kbbnpp 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 (DSNS) computational creativity approach. It doesn't use endgame tablebases, neural networks or any kind of machine learning found in 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.

7B/2N4p/2B3R1/3K1k2/6b1/b4p2/2N5/1n6 w - - 0 1
White to Play and Mate in 4
Chesthetica v10.67 : Selangor, Malaysia
2018.7.4 8:50:48 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. 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. Over time, the tactics you see in these puzzles will help you improve your game.

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

Consider this 'KQRBN vs krbpp' mate in 4 chess problem generated 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). Any chess position over 7 pieces could not possibly have been derived from an endgame tablebase which today is limited to 7 pieces.

4B1k1/3R4/8/1b6/7N/2Kp1p2/r7/7Q w - - 0 1
White to Play and Mate in 4
Chesthetica v10.69 : Selangor, Malaysia
2018.7.4 2:13:51 PM

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

Now, here we have a 'KRRBN vs krnpp' study-like chess problem generated autonomously 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.

8/N3K3/4B3/3R4/3nR3/1p6/2p4k/r7 w - - 0 1
White to Play and Win
Chesthetica v10.69 : Selangor, Malaysia
2018.7.4 11:35:41 AM

Chess puzzles are ancient. Some are over a thousand years old but only in the 21st century have computers been able to compose original ones on their own like humans can. 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. 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

Now, here we have a 'KQRBN vs knpp' mate in 3 chess problem generated by the program, Chesthetica, using the computational creativity approach which doesn't use any kind of traditional AI or even 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. Any chess position over 7 pieces could not possibly have been derived from an endgame tablebase which today is limited to 7 pieces.

3N4/K6Q/8/8/pk6/p3B3/4n3/6R1 w - - 0 1
White to Play and Mate in 3
Chesthetica v10.67 : Selangor, Malaysia
2018.7.3 1:29:51 PM

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

Consider this 'KRRP vs kbppp' 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 also no proven limit to the quantity or type of legal compositions that can be automatically generated. 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.

R7/7b/8/5k2/K2PR3/1p5p/5p2/8 w - - 0 1
White to Play and Win
Chesthetica v10.67 : Selangor, Malaysia
2018.7.1 10:15:44 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. Everything composed by Chesthetica is original. 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 'KRBBN vs kpp' mate in 4 chess construct generated by the program, Chesthetica, using the 'DSNS' computational creativity approach which does not use any kind of machine or deep learning. Chesthetica is able to use the technology to express original creative thought in this domain. It also never had behind it a team of highly skilled programmers, consultants or the kind of hardware millions of IBM or Google dollars could buy. There is also no proven limit to the quantity or type of legal compositions that can be automatically generated.

8/2B5/8/7B/1N6/1K2pR2/6p1/2k5 w - - 0 1
White to Play and Mate in 4
Chesthetica v10.67 : Selangor, Malaysia
2018.6.30 11:38:09 PM

White has a decisive material advantage in this position but the winning sequence may not be immediately clear. 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

An original 'KBBBNNP vs kqp' chess problem generated autonomously by a computer 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 8x8 canvas that may otherwise take centuries to arise in an actual game, if ever. 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. 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.

5K2/3k4/BqNP4/8/1B4N1/8/1Bp5/8 w - - 0 1
White to Play and Mate in 4
Chesthetica v10.67 : Selangor, Malaysia
2018.6.30 2:01:34 PM

Everything composed by Chesthetica is original. Do share and try out some of the others too. Collectively, these puzzles are intended to cater to players of all levels.

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

An original 'KQQBN vs kqqbn' four-move chess construct generated by 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 8x8 canvas that may otherwise take centuries to arise in an actual game, if ever. (Learn more about the DSNS here: https://arxiv.org/abs/1507.07058).

1N2k3/8/8/8/K2Qn1q1/8/5Q2/B4qb1 w - - 0 1
White to Play and Mate in 4
Chesthetica v10.67 : Selangor, Malaysia
2018.6.30 3:22:00 AM

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

Published online for the first time, consider this KQBPP vs kqrrpp chess puzzle or problem (whichever you wish to call it) composed by Chesthetica using the relatively new computational creativity approach called the 'DSNS'. (Learn more about the DSNS here: https://arxiv.org/abs/1507.07058).

3K4/4Prq1/8/4pkr1/3P1p2/1B6/4Q3/8 w - - 0 1
White to Play and Mate in 3
Chesthetica v10.67 : Selangor, Malaysia
2018.6.29 5:10:10 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 actually has less material than Black. The white army is down by about 7 (Shannon) pawn units in value. Try to solve this as quickly as you can. If you like it, please share with others. 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

Now, this is a 'KQRBNN vs kqnnn' mate in 5 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 11 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.

8/8/2K3R1/2n5/5N2/1Q2q3/1Bnk4/2nN4 w - - 0 1
White to Play and Mate in 5
Chesthetica v10.67 : Selangor, Malaysia
2018.6.29 4:49:17 PM

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

This is an original 'KQBNNP vs kqrbppp' chess problem generated 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. 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: https://en.chessbase.com/tagged?tag=Chesthetica).

qrN3N1/7b/2p1k3/p7/P5K1/8/2Q1p3/7B w - - 0 1
White to Play and Mate in 4
Chesthetica v10.67 : Selangor, Malaysia
2018.6.29 1:59:59 PM

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

Consider this 'KRBBNP vs kqbnp' mate in 3 chess puzzle or problem (whichever you wish to call it) composed by Chesthetica using the 'Digital Synaptic Neural Substrate' computational creativity approach which does not use any kind of deep learning. (Learn more about the DSNS here: https://arxiv.org/abs/1507.07058). 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 11 pieces could have been taken from such a database.

2B1n1b1/5kp1/1q1RN3/6P1/1B6/5K2/8/8 w - - 0 1
White to Play and Mate in 3
Chesthetica v10.67 : Selangor, Malaysia
2018.6.29 7:13:08 AM

Composing a chess puzzle or problem requires creativity and it's not easy even for most humans. White actually has less material than Black. The white army is down by about 1 (Shannon) pawn units in value. If this one is too easy or too difficult for you, try out some of the others. Over time, the tactics you see in these puzzles will help you improve your game.

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

An original 'KQRB vs kqrb' five-move chess problem generated by a 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 (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 8 pieces could have been taken from such a database.

2q5/2k5/6rb/1K1R4/8/8/6B1/6Q1 w - - 0 1
White to Play and Mate in 5
Chesthetica v10.67 : Selangor, Malaysia
2018.6.28 9:16:37 PM

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

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

SHOW MORE

Created 1 year, 4 months ago.

564 videos

CategoryGaming

The world's most advanced automatic chess problem composer.