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artificial intelligence, chess, games, puzzles, Uncategorized

Computer-Generated Chess Problem 02369

Here is a new ‘KQPP vs kqb’ chess problem generated autonomously by the prototype computer program, Chesthetica, using the relatively new computational creativity approach called the ‘DSNS’. There is also no proven limit to the quantity or type of legal compositions that can be automatically generated.

3Q4/7K/8/7k/3PP1qb/8/8/8 w – – 0 1
White to Play and Mate in 3
Chesthetica v10.82 : Selangor, Malaysia
2018.11.11 3:37:27 AM
Solvability Estimate = Difficult

Okay, let me think for a minute if there’s anything else to say here. Why not time yourself how long it took you to solve this? Feel free to copy the position into a chess engine and discover even more variations of the solution. 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 02368

Here is a ‘KQR vs kqrbp’ four-move chess puzzle created 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. There is also no proven limit to the quantity or type of legal compositions that can be automatically generated. 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.

8/8/2Kp3Q/b3R3/8/r7/q7/k7 w – – 0 1
White to Play and Mate in 4
Chesthetica v10.82 : Selangor, Malaysia
2018.11.10 7:18:46 PM
Solvability Estimate = Moderate

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. Chesthetica composes only unique or new constructs. If you have seen it before, cite the source and comment below because it is purely coincidental. Do share and try out some of the others too. Solving chess puzzles like this can be good for your health as it keeps your brain active. It may even delay or prevent dementia.

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

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artificial intelligence, chess, games, puzzles, Uncategorized

Computer-Generated Chess Problem 02367

Take a look at this ‘KRRB vs kqqp’ mate in 5 chess puzzle created by the 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. 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.

8/8/3R4/1q2q3/2p5/8/1B4R1/1k3K2 w – – 0 1
White to Play and Mate in 5
Chesthetica v10.82 : Selangor, Malaysia
2018.11.10 7:03:19 PM
Solvability Estimate = Easy

Most changes to Chesthetica that result in a slightly higher ‘version number’ are simply to improve the interface, by the way. White actually has less material than Black yet still wins. The white army is down by about 6 (Shannon) pawn units in value. Why not time yourself how long it took you to solve this? 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 02366

A new if not unique KQBN vs kqbnp chess construct composed autonomously 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. 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 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.

5K2/8/2Q4n/5k2/5p1q/8/3N1bB1/8 w – – 0 1
White to Play and Mate in 4
Chesthetica v10.82 : Selangor, Malaysia
2018.11.10 1:47:01 PM
Solvability Estimate = Moderate

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. Now, let’s see what else there is to say. Give me a moment. 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.

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

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artificial intelligence, chess, games, puzzles, Uncategorized

Computer-Generated Chess Problem 02365

A ‘KRNN vs k’ #4 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. 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.

8/1K2k3/8/4NR2/8/4N3/8/8 w – – 0 1
White to Play and Mate in 4
Chesthetica v10.82 : Selangor, Malaysia
2018.11.10 8:25:53 AM
Solvability Estimate = Moderate

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

Similar Problems by Chesthetica: 01741 02017

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

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artificial intelligence, chess, games, puzzles, Uncategorized

Computer-Generated Chess Problem 02364

Now, here we have a ‘KRB vs k’ chess puzzle or problem (whichever you wish to call it) composed by the prototype computer program, Chesthetica, using the relatively new computational creativity approach called the ‘DSNS’. Chesthetica is able to generate various types of mates and study-like constructs and also compose problems using specific combinations of pieces fed into it (e.g. instructing it to compose something using a queen, rook and bishop vs. queen and two knights). Learn more about it on ChessBase.

8/1K1k4/8/R7/5B2/8/8/8 w – – 0 1
White to Play and Mate in 5
Chesthetica v10.82 : Selangor, Malaysia
2018.11.9 3:40:21 PM
Solvability Estimate = Moderate

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. What was the machine ‘thinking’ when it came up with this? 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.

Similar Problems by Chesthetica: 02225 02266

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

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artificial intelligence, chess, games, puzzles, Uncategorized

Computer-Generated Chess Problem 02363

An original ‘KQBBNP vs kqrbn’ three-move chess construct composed autonomously 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.

q7/4B3/4r3/2Q1N3/5k1b/1K3B1P/7n/8 w – – 0 1
White to Play and Mate in 3
Chesthetica v10.82 : Selangor, Malaysia
2018.11.9 7:21:26 AM
Solvability Estimate = Difficult

White actually has less material than Black. The white army is down by about 1 (Shannon) pawn units in value. 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.

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

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