This is an original 'KRNPP vs kpp' chess puzzle or problem (whichever you wish to call it) composed by Chesthetica using the 'Digital Synaptic Neural Substrate' computational creativity method. It does

What we have here is a 'KQBP vs kb' #3 chess puzzle created by a computer program, Chesthetica, using the relatively new computational creativity approach called the 'DSNS'. There is no known limit to

Here is a new 'KQRBPPP vs kqrrbnp' three-move chess puzzle or problem (whichever you wish to call it) composed by the program, Chesthetica, using the Digital Synaptic Neural Substrate AI computational

Take a look at this 'KQNNP vs kqbbp' mate in 4 chess problem generated by Chesthetica using the 'Digital Synaptic Neural Substrate' computational creativity method. It does not use endgame tablebases,

Contemplate this 'KQBNN vs kn' chess puzzle or problem (whichever you wish to call it) composed by the program, Chesthetica, using the Digital Synaptic Neural Substrate (DSNS) computational creativity

Take a look at this 'KRBPP vs kqb' mate in 3 chess problem generated autonomously by Chesthetica using the 'Digital Synaptic Neural Substrate' computational creativity method. It does not use endgame

Take a look at this 'KBNNPP vs kpp' chess problem generated autonomously by a computer program, Chesthetica, using the 'Digital Synaptic Neural Substrate' computational creativity approach which does not

I explain some of the features and why I find this computer-generated chess problem by Chesthetica interesting. Beginners and intermediate players, especially, may be able to learn from this. Tools: Analyze

Now, here we have a 'KRBN vs kp' four-move chess puzzle created by Chesthetica using the Digital Synaptic Neural Substrate (DSNS) computational creativity approach. It doesn't use endgame tablebases, neural

A 'KQNNP vs kbnn' five-move chess construct composed autonomously by a computer using the Digital Synaptic Neural Substrate (DSNS) computational creativity approach. It doesn't use endgame tablebases,

Here is a 'KQNNP vs krp' #4 chess construct composed autonomously by a computer using the Digital Synaptic Neural Substrate (DSNS) computational creativity approach. It doesn't use endgame tablebases,

A newly published and original KRRBN vs kb mate in 4 chess puzzle created by the program, Chesthetica, using the 'Digital Synaptic Neural Substrate' computational creativity approach which does not use

Now, this is a 'KRBB vs krbp' chess puzzle created by the prototype computer program, Chesthetica, using the Digital Synaptic Neural Substrate (DSNS) computational creativity approach. It doesn't use endgame

Now, this is a 'KQRBB vs knppp' mate in 4 chess problem generated autonomously by a computer program, Chesthetica, using the Digital Synaptic Neural Substrate (DSNS) computational creativity approach.

This is an original 'KBBNP vs kp' #4 chess puzzle or problem (whichever you wish to call it) composed by a computer using the computational creativity approach which doesn't use any kind of traditional

An original 'KBBNPP vs kq' five-move chess construct composed autonomously by a computer program, Chesthetica, using the 'Digital Synaptic Neural Substrate' computational creativity approach which does

I explain some of the features and why I find this computer-generated chess problem by Chesthetica interesting. Beginners and intermediate players, especially, may be able to learn from this. Tools: Analyze

This is an original 'KQRB vs kn' mate in 4 chess puzzle or problem (whichever you wish to call it) composed by a computer program, Chesthetica, using the Digital Synaptic Neural Substrate (DSNS) computational

Here is a new 'KQRRBNP vs kqrbnp' three-move chess puzzle or problem (whichever you wish to call it) composed by Chesthetica using the approach known as the DSNS from the sub-field of AI, computational

Consider this 'KQRBN vs knnppp' #5 chess construct composed autonomously by a computer using the approach known as the DSNS from the sub-field of AI, computational creativity. The program can compose problems