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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 02623 Now, here we have a 'KQRBBP vs krnnp' #3 chess puzzle created by a computer 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 been seen by human eyes. This problem with 11 pieces goes even beyond that and was therefore composed without any such help. https://www.youtube.com/watch?v=YsbAWNB8cKU 8/Q2Rrp2/6n1/5k2/7P/5n2/1B3KB1/8 w - - 0 1 White to Play and Mate in 3 Chesthetica v11.17 (Selangor, Malaysia) Generated on 21 Apr 2019 at 3:59:18 PM Solvability Estimate = Difficult 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. 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! 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 02623

This is an original 'KQRBBP vs krnnp' #3 chess construct 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 traditi...

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Chess Intelligence
Computer-Generated Chess Problem 02622 Here is a 'KQRNN vs krbpp' mate in 5 chess puzzle or problem (whichever you wish to call it) composed 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). There is no known limit to the quantity or type of compositions that can be generated. https://www.youtube.com/watch?v=0TyMTS_H6Hc K7/6N1/8/3Nb3/5p1k/5R2/1r4p1/3Q4 w - - 0 1 White to Play and Mate in 5 Chesthetica v11.17 (Selangor, Malaysia) Generated on 21 Apr 2019 at 1:14:50 PM Solvability Estimate = Easy White has a decisive material advantage in this position but the winning sequence may not be immediately clear. Leave a comment below, if you like. 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. #chess #gaming #art #technology
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Computer-Generated Chess Problem 02622

Here is a 'KQRNN vs krbpp' 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 (Lomonosov) tablebase tod...

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