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Chess Intelligence

@Chess_Explained

Computer-generated chess constructs, problems, puzzles and studies.
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Chess Intelligence
Computer-Generated Chess Problem 02724 This is an original 'KRBBNP vs krbpp' mate in 3 chess problem generated by 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. https://www.youtube.com/watch?v=joc8cXr-0YE 3N4/3p3K/2B2p2/5r1k/6R1/6bP/8/2B5 w - - 0 1 White to Play and Mate in 3 Chesthetica v11.32 (Selangor, Malaysia) Generated on 13 Aug 2019 at 2:57:33 PM Solvability Estimate = Difficult 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. Do you think you could have composed something better with these pieces? Share in the comments and let us know how long it took you. Over time, the tactics you see in these puzzles will help you improve your game. #chess #gaming #art #technology
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Computer-Generated Chess Problem 02724

An original 'KRBBNP vs krbpp' mate in 3 chess puzzle created by a 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. There is also no proven limit to the ...

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Chess Intelligence
Computer-Generated Chess Problem 02723 Now, here we have a 'KQRB vs kqrrp' mate in 3 chess problem generated by 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. 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 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. https://www.youtube.com/watch?v=xTLb9ctN1HM 3q4/2Q5/1p6/1k5K/R7/rBr5/8/8 w - - 0 1 White to Play and Mate in 3 Chesthetica v11.32 (Selangor, Malaysia) Generated on 12 Aug 2019 at 11:38:09 PM Solvability Estimate = Difficult White actually has less material than Black yet still wins. The white army is down by about 3 (Shannon) pawn units in value. Try to solve this puzzle. Do try some of the others in the series as well before you go. Take some time to study the analysis and you might appreciate the puzzle a little more. #chess #gaming #art #technology
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Computer-Generated Chess Problem 02723

A 'KQRB vs kqrrp' mate in 3 chess construct generated by the program, Chesthetica, using the computational creativity approach which doesn't use any kind of traditional AI or even deep learning. Chesthetica is able to generate mates in 3, mates in 4, mates in 5, study-like constructs and also compos...

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