Chesthetica

Chesthetica

Chesthetica

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Published online for the first time, consider this KRRNP vs krrnpp study-like construct or chess puzzle created 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. 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. compose something original using a knight versus three pawns). (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 11 pieces goes even beyond that and was therefore composed without any such help. The accuracy of the main line presented for this study in the solution depends on the engine used and analysis time. The constructed position shown is nevertheless original.

7n/r4R2/1k6/6K1/3P4/1p4pR/1r6/1N6 w - - 0 1
White to Play and Draw
Chesthetica v10.69 : Selangor, Malaysia
2018.8.8 3:18:51 AM

Humans have been composing original chess problems for over a thousand years. Now a computer can do it too. White actually has less material than Black. The white army is down by about 1 (Shannon) pawn units in value. 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

A newly published and original KRBBNPPP vs krbp mate in 5 chess problem generated autonomously by the program, Chesthetica, using the relatively new computational creativity approach called the 'DSNS'. There is no known limit to the quantity or type of compositions that can be generated. 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.

8/1pP5/2b5/8/1kP2B2/2R5/1PK5/1N3r1B w - - 0 1
White to Play and Mate in 5
Chesthetica v10.74 : Selangor, Malaysia
2018.8.7 7:48:28 AM

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 share and try out some of the others too. Solving chess puzzles like this can also help improve your game.

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

Take a look at this 'KBNN vs kp' #4 chess construct generated by a 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.

8/8/8/8/5NK1/3N3B/3p4/6k1 w - - 0 1
White to Play and Mate in 4
Chesthetica v10.74 : Selangor, Malaysia
2018.8.7 7:19:10 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 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.

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

Now, this is a 'KRBBN vs krnp' mate in 4 chess puzzle or problem (whichever you wish to call it) composed 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.

B6R/K1kn4/3p4/6B1/6N1/8/8/1r6 w - - 0 1
White to Play and Mate in 4
Chesthetica v10.74 : Selangor, Malaysia
2018.8.6 7:52:06 PM

Composing a chess puzzle or problem requires creativity and it's not easy even for most humans. White is significantly ahead in material. 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

A new if not unique KRNPPPP vs krbbpppstudy (learn more here: https://en.chessbase.com/post/best-chess-constructs-by-chessbase-readers) chess puzzle created by 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. This position contains a total of 14 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. The accuracy of the main line presented for this study in the solution depends on the engine used and analysis time. The constructed position shown is nevertheless original.

3k4/2b5/4P1p1/2R1N1K1/4rpp1/7P/b2PP3/8 w - - 0 1
White to Play and Draw
Chesthetica v10.69 : Selangor, Malaysia
2018.8.6 7:31:35 PM

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

Now, here we have a 'KRRNPPP vs kqrp' 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 (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). Any chess position over 7 pieces could not possibly have been derived from an endgame tablebase which today is limited to 7 pieces.

1q6/5pP1/5P2/7k/4KR1P/5r2/5NR1/8 w - - 0 1
White to Play and Mate in 4
Chesthetica v10.74 : Selangor, Malaysia
2018.8.5 7:44:57 PM

White has a slight material advantage over Black. 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

A newly published and original KRRBN vs kbpp four-move chess problem generated 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 also no proven limit to the quantity or type of legal compositions that can be automatically generated. This position contains a total of 9 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.

5K2/1bp3B1/8/1N1k4/1RR5/8/5p2/8 w - - 0 1
White to Play and Mate in 4
Chesthetica v10.69 : Selangor, Malaysia
2018.8.5 11:18:44 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. Remarkably, Chesthetica never composes duplicate problems using its DSNS technology. 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

A newly published and original KRRBP vs kqbpp study-like construct or chess problem generated by a computer 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 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.

k7/3p4/3R3b/K3p3/3R3B/3P4/8/2q5 w - - 0 1
White to Play and Win
Chesthetica v10.69 : Selangor, Malaysia
2018.8.5 5:47:02 AM

Material is even. 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

What we have here is a 'KRNNPP vs knn' 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. 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.

2N5/1k1P4/3P4/4N3/Rn6/8/8/1K1n4 w - - 0 1
White to Play and Mate in 4
Chesthetica v10.74 : Selangor, Malaysia
2018.8.4 5:44:25 AM

White is over a rook's worth in material but the precise win in this position still needs to be found. 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.

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

Here is a new 'KQRN vs kqp' 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).

1K5R/8/8/3Q4/8/4k3/7p/1N3q2 w - - 0 1
White to Play and Mate in 5
Chesthetica v10.74 : Selangor, Malaysia
2018.8.4 1:07:09 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 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. As a whole, these problems are intended to cater to players of all skill levels.

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

Contemplate this 'KBBBPPPPP vs kqnnn' study-like construct or 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 also no proven limit to the quantity or type of legal compositions that can be automatically generated. This position contains a total of 14 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. The analysis presented for this study may not be perfect as it depends on the engine used and time allocated to it. However, the key move should be right.

n2k3n/6K1/P3P3/q1P5/8/P7/2BP2nB/1B6 w - - 0 1
White to Play and Win
Chesthetica v10.74 : Selangor, Malaysia
2018.8.3 4:44:06 AM

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? 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 KRRBNN vs kbnp #3 chess puzzle created by 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. 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 a queen vs. three knights). (Read more about it on ChessBase: https://en.chessbase.com/tagged?tag=Chesthetica).

3b4/6K1/N3k3/3RnN2/2p5/8/6R1/7B w - - 0 1
White to Play and Mate in 3
Chesthetica v10.74 : Selangor, Malaysia
2018.8.2 9:08:05 AM

Humans have been composing original chess problems for over a thousand years. Now a computer can do it too. White has a decisive material advantage in this position but the winning sequence may not be immediately clear. 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

Take a look at this 'KBBN vs knnp' mate in 5 chess problem generated by 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 also no proven limit to the quantity or type of legal compositions that can be automatically generated. 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.

n7/4n3/2B5/k1K5/1N3B2/8/p7/8 w - - 0 1
White to Play and Mate in 5
Chesthetica v10.69 : Selangor, Malaysia
2018.8.1 5:01:45 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 has a slight material advantage over Black. Do share and try out some of the others too. Solving chess puzzles like this can also help improve your game.

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

Now, this is a 'KNNNP vs kppp' study-like construct or chess problem generated by the program, Chesthetica, 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). 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.

5N2/5N2/8/8/1N6/6pp/P2pK3/7k w - - 0 1
White to Play and Win
Chesthetica v10.74 : Selangor, Malaysia
2018.7.31 5:38:37 PM

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 is over a rook's worth in material but the precise win in this position still needs to be found. If this one is too easy or too difficult for you, try out some of the others. 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 KRBN vs knp mate in 3 chess problem generated autonomously by a computer program, 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).

1n6/8/3R4/k6N/8/1K1B1p2/8/8 w - - 0 1
White to Play and Mate in 3
Chesthetica v10.70 : Selangor, Malaysia
2018.7.31 3:36:46 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. Chesthetica composes only unique or new constructs (learn more here: https://en.chessbase.com/post/azlan-iqbal-introducing-chess-constructs). Did you find this one interesting or have something else to say? Leave a comment below! Solving chess puzzles like this can also help improve your game.

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

Here is a 'KRRRB vs kqrp' chess problem generated autonomously by 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. compose something original using a knight versus three pawns). (Read more about it on ChessBase: https://en.chessbase.com/tagged?tag=Chesthetica).

1R1R2BR/k7/1p6/8/2r5/6q1/8/1K6 w - - 0 1
White to Play and Mate in 4
Chesthetica v10.69 : Selangor, Malaysia
2018.7.31 2:09:13 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 significantly ahead in material. 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

This is an original 'KQBBNN vs kqbnp' chess problem generated by a computer 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. 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 11 pieces goes even beyond that and was therefore composed without any such help whatsoever.

8/3q4/4b1K1/7N/2kp4/n7/3B4/1Q3N1B w - - 0 1
White to Play and Mate in 5
Chesthetica v10.69 : Selangor, Malaysia
2018.7.30 10:20:23 PM

White is significantly ahead in material. 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 newly published and original KQRBN vs kqn mate in 5 chess puzzle created by a computer 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. 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). 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.

8/8/1B2QK2/4n2q/8/3R1N2/8/7k w - - 0 1
White to Play and Mate in 5
Chesthetica v10.69 : Selangor, Malaysia
2018.7.30 7:44:07 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 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

This is an original 'KRBP vs kb' chess puzzle created 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.

2R5/4bKP1/8/4B3/8/7k/8/8 w - - 0 1
White to Play and Mate in 4
Chesthetica v10.70 : Selangor, Malaysia
2018.7.29 6:25:01 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 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

This is an original 'KQRRP vs krppp' three-move chess construct generated 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. 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.

7K/3pR3/3k2P1/2p3Q1/2r2p2/R7/8/8 w - - 0 1
White to Play and Mate in 3
Chesthetica v10.70 : Selangor, Malaysia
2018.7.28 8:03:44 PM

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 has a decisive material advantage in this position but the winning sequence may not be immediately clear. 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 KNNNPPP vs krnpp mate in 4 chess puzzle created 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. There is no known limit to the quantity or type of compositions that can be generated.

k3Nn2/6P1/2P5/2p5/r1N3P1/2N5/2p5/5K2 w - - 0 1
White to Play and Mate in 4
Chesthetica v10.69 : Selangor, Malaysia
2018.7.28 7:53:59 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 has a slight material advantage over Black. 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

This is an original 'KQNPP vs kbpp' three-move chess puzzle created 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 AI. 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.

8/8/8/2p5/K7/1NkpP3/1b2P3/5Q2 w - - 0 1
White to Play and Mate in 3
Chesthetica v10.69 : Selangor, Malaysia
2018.7.27 1:24:15 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. White is over a rook's worth in material but the precise win in this position still needs to be found. Do share and try out some of the others too. Over time, the tactics you see in these puzzles will help you improve your game.

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

Here is a new 'KRBNN vs kbp' #4 chess problem generated by a 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 (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.

8/4K3/5BNk/7N/2b5/7p/8/7R w - - 0 1
White to Play and Mate in 4
Chesthetica v10.70 : Selangor, Malaysia
2018.7.25 11:07:54 PM

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

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

Published online for the first time, consider this KRBBN vs kbp 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. 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. 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.

8/6Bb/B7/1N3R2/1p6/4K3/8/4k3 w - - 0 1
White to Play and Mate in 4
Chesthetica v10.70 : Selangor, Malaysia
2018.7.25 8:42:47 PM

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

A newly published and original KQBNNP vs kbpp mate in 4 chess problem generated by the prototype computer 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. 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.

5K2/8/8/b4p2/3k4/B1N5/2pN1P2/2Q5 w - - 0 1
White to Play and Mate in 4
Chesthetica v10.70 : Selangor, Malaysia
2018.7.25 3:39:32 PM

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 your friends. 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.