Chess Intelligence

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Chess Intelligence

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A 'KRBBN vs kbnpp' chess problem generated autonomously by a computer 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.

FEN: 8/6B1/K1N5/5B1R/ppk5/b7/3n4/8 w - - 0 1
Related Books: http://amazon.com/author/azlan_iqbal

Alternative Title: Computer-Generated Chess Problem 03265 Explained

Contemplate this 'KBNNP vs kbppppp' forced mate in three chess construct generated 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.

FEN: 8/6B1/3P4/4Npkp/4pp1b/8/1p5N/1K6 w - - 0 1
Related Books: http://amazon.com/author/azlan_iqbal

Alternative Title: Computer-Generated Chess Problem 03250 Explained

Take a look at this 'KQP vs kbpp' forced mate in three chess puzzle by a computer using the Digital Synaptic Neural Substrate computational creativity approach which does not use any kind of deep learning.

FEN: k7/p3Q3/p7/5K2/1b2P3/8/8/8 w - - 0 1
Related Books: http://amazon.com/author/azlan_iqbal

Alternative Title: Computer-Generated Chess Problem 03237 Explained

Here is a new 'KRNP vs k' forced mate in four chess problem generated by the prototype computer program, Chesthetica, using the DSNS computational creativity approach which doesn't use any kind of traditional AI.

FEN: 7K/8/5PkN/7R/8/8/8/8 w - - 0 1
Related Books: http://amazon.com/author/azlan_iqbal

Alternative Title: Computer-Generated Chess Problem 03225 Explained

Explained online for the first time, consider this KNNP vs krbppp chess construct generated by a computer using the Digital Synaptic Neural Substrate computational creativity approach which does not use any kind of deep learning.

FEN: 8/b7/1p6/1p6/8/5P2/4K2p/2NN2kr w - - 0 1
Related Books: http://amazon.com/author/azlan_iqbal

Alternative Title: Computer-Generated Chess Problem 03218 Explained

A new if not unique KRRPP vs kqrnp chess problem generated by the prototype computer program, Chesthetica, using the Digital Synaptic Neural Substrate computational creativity approach which does not use any kind of deep learning.

FEN: 8/k1P5/3K1pq1/1R6/r1P5/2n5/1R6/8 w - - 0 1
Related Books: http://amazon.com/author/azlan_iqbal

Alternative Title: Computer-Generated Chess Problem 03217 Explained

Here is a 'KRRBP vs kqrn' five-move chess puzzle by the prototype 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.

FEN: 2K3R1/1P6/k7/5Rq1/n4B2/r7/8/8 w - - 0 1
Related Books: http://amazon.com/author/azlan_iqbal

Alternative Title: Computer-Generated Chess Problem 03224 Explained

I explain this original KQBN vs kpp forced mate in three chess problem generated autonomously by a computer program, Chesthetica, using the DSNS 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).

FEN: 8/8/8/5K2/2p3N1/2Bk4/Q1p5/8 w - - 0 1
Related Books: http://amazon.com/author/azlan_iqbal

Alternative Title: Computer-Generated Chess Problem 03222 Explained

Contemplate this 'KQRP vs krbnp' mate in five chess puzzle or problem (whichever you wish to call it) composed by a computer 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.

FEN: 7K/8/3p2rk/2R4b/2Q5/8/4n2P/8 w - - 0 1
Related Books: http://amazon.com/author/azlan_iqbal

Alternative Title: Computer-Generated Chess Problem 03215 Explained

Here is a new 'KQRBP vs kqrbpp' forced mate in five 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.

FEN: 1b6/5k1P/2r1p3/1Q5R/4B2p/8/3K4/7q w - - 0 1
Related Books: http://amazon.com/author/azlan_iqbal

Alternative Title: Computer-Generated Chess Problem 03214 Explained

Take a look at this 'KQRR vs kqrrn' forced mate in four chess puzzle by a computer program, Chesthetica, using the DSNS 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).

FEN: 8/8/8/3rq3/1K6/8/1Q1R2rR/5kn1 w - - 0 1
Related Books: http://amazon.com/author/azlan_iqbal

Alternative Title: Computer-Generated Chess Problem 03208 Explained

An original 'KQNN vs kpp' 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.

FEN: 8/8/2Q5/3N4/5K2/2N5/2pp4/2k5 w - - 0 1
Related Books: http://amazon.com/author/azlan_iqbal

Alternative Title: Computer-Generated Chess Problem 03211 Explained

Explained online for the first time, consider this KQRBP vs kqrbpp five-move chess puzzle or problem (whichever you wish to call it) composed by the program, Chesthetica, using the DSNS computational creativity method. It does not use endgame tablebases, artificial neural networks, machine learning or any kind of typical AI.

FEN: 5rk1/3b3p/6BP/4p3/1K3Q2/8/8/q1R5 w - - 0 1
Related Books: http://amazon.com/author/azlan_iqbal

Alternative Title: Computer-Generated Chess Problem 03207 Explained

Now, this is a 'KQRNNP vs kqrrbn' mate in five chess puzzle by the program, Chesthetica, using the fairly new computational creativity approach known as the DSNS (Digital Synaptic Neural Substrate).

FEN: 8/7K/6NN/2q4k/1rP3b1/3R4/8/2Q1n1r1 w - - 0 1
Related Books: http://amazon.com/author/azlan_iqbal

Alternative Title: Computer-Generated Chess Problem 03203 Explained

Now, this is a 'KRBBN vs kpp' mate in four chess problem generated by a computer using the Digital Synaptic Neural Substrate computational creativity approach which does not use any kind of deep learning.

FEN: 8/4p3/4k1K1/8/4p3/N4B2/5R2/4B3 w - - 0 1
Related Books: http://amazon.com/author/azlan_iqbal

Alternative Title: Computer-Generated Chess Problem 03204 Explained

Explained online for the first time, consider this KQRBN vs kqp forced mate in four chess construct generated by the prototype computer 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 that millions of dollars from a company like Google or Microsoft could buy.

FEN: 4K3/6p1/3R4/q7/5B2/7Q/8/kN6 w - - 0 1
Related Books: http://amazon.com/author/azlan_iqbal

Alternative Title: Computer-Generated Chess Problem 03202 Explained

Here is a new 'KRRN vs kp' forced mate in three chess puzzle or problem (whichever you wish to call it) composed by a computer using the approach known as the DSNS from the sub-field of AI, computational creativity.

FEN: 7k/5RpN/5R2/8/4K3/8/8/8 w - - 0 1
Related Books: http://amazon.com/author/azlan_iqbal

Alternative Title: Computer-Generated Chess Problem 03199 Explained

What we have here is a 'KQBP vs krrbpp' mate in three chess problem generated autonomously 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.

FEN: 8/1Q6/3p4/kbr1B3/rpP5/8/8/7K w - - 0 1
Related Books: http://amazon.com/author/azlan_iqbal

Alternative Title: Computer-Generated Chess Problem 03189 Explained

A new if not unique KQRBN vs kqrn mate in four chess problem generated by Chesthetica using the approach known as the DSNS from the sub-field of AI, computational creativity.

FEN: 8/1Q6/q7/2n5/8/3N4/3B2R1/r2k2K1 w - - 0 1
Related Books: http://amazon.com/author/azlan_iqbal

Alternative Title: Computer-Generated Chess Problem 03201 Explained

Now, here we have a 'KRNPPP vs kqbbn' 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.

FEN: R7/2P2k1P/2K1bnqb/7P/5N2/8/8/8 w - - 0 1
Related Books: http://amazon.com/author/azlan_iqbal

Alternative Title: Computer-Generated Chess Problem 03197 Explained

A new if not unique KRBNP vs kp chess problem generated autonomously by the prototype computer 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 that millions of dollars from a company like IBM or Google could buy.

FEN: R7/7B/8/8/2K2P2/1p6/1k2N3/8 w - - 0 1
Related Books: http://amazon.com/author/azlan_iqbal

Alternative Title: Computer-Generated Chess Problem 03169 Explained

A new if not unique KQBN vs kp chess construct generated 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.

FEN: 8/8/8/5k1B/4p3/3N2K1/8/2Q5 w - - 0 1
Related Books: http://amazon.com/author/azlan_iqbal

Alternative Title: Computer-Generated Chess Problem 03174 Explained

Contemplate this 'KQRP vs knppp' chess problem generated autonomously by Chesthetica using the computational creativity approach which doesn't use any kind of traditional AI or even deep learning.

FEN: 5RK1/8/8/2Ppkp2/3p1n2/8/7Q/8 w - - 0 1
Related Books: http://amazon.com/author/azlan_iqbal

Alternative Title: Computer-Generated Chess Problem 03176 Explained

What we have here is a 'KQBB vs kqbb' mate in five chess puzzle by a computer using the Digital Synaptic Neural Substrate computational creativity approach which does not use any kind of deep learning. After years of development, Chesthetica is able to use the technology to express original creative thought in this domain. Note that it also never had millions of dollars behind it from a company like IBM, Google or Microsoft.

FEN: 8/5K2/7q/1bb5/2k5/8/1B4B1/3Q4 w - - 0 1
Related Books: http://amazon.com/author/azlan_iqbal

Alternative Title: Computer-Generated Chess Problem 03164 Explained

Contemplate this 'KRNP vs kpp' mate in 3 chess construct generated by Chesthetica using the relatively new computational creativity approach called the 'DSNS'.

FEN: R4K2/8/p2p4/8/k7/8/1P2N3/8 w - - 0 1
Related Books: http://amazon.com/author/azlan_iqbal

Alternative Title: Computer-Generated Chess Problem 01766 Explained
Tools: Analyze This (Pro), Fritz 16 (for the 3D Art)

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Created 5 years, 5 months ago.

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Category Gaming

Chess problems/puzzles explained, and more.