Take a look at this 'KRBN vs kppp' four-move chess puzzle or problem (whichever you wish to call it) composed by the prototype computer program, Chesthetica, using the Digital Synaptic Neural Substrate

What we have here is a 'KRRNNPP vs kq' mate in 4 chess construct composed autonomously by the program, Chesthetica, using the 'DSNS' computational creativity approach which does not use any kind of machine

This is an original 'KBP vs knp' study-like chess problem generated by the prototype computer program, Chesthetica, using the 'DSNS' computational creativity approach which does not use any kind of machine

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

Here is a new 'KQRBNP vs krbnnp' #5 chess puzzle or problem (whichever you wish to call it) composed by the prototype computer program, Chesthetica, using the Digital Synaptic Neural Substrate (DSNS)

A newly published and original KBNPP vs kp mate in 4 chess puzzle created by a computer program, Chesthetica, using the Digital Synaptic Neural Substrate AI computational creativity method. There is also

Take a look at this 'KQB vs krrb' #5 chess puzzle created by Chesthetica using the Digital Synaptic Neural Substrate AI computational creativity method. Chesthetica can compose problems that might otherwise

What we have here is a 'KQP vs kr' four-move chess problem generated autonomously by the program, Chesthetica, using the 'DSNS' computational creativity approach which does not use any kind of machine

Now, this is a 'KQBP vs kqrp' chess puzzle or problem (whichever you wish to call it) composed by the prototype computer program, Chesthetica, using the 'Digital Synaptic Neural Substrate' computational

An original 'KRBNN vs k' #5 chess problem generated autonomously by the prototype computer program, Chesthetica, using the Digital Synaptic Neural Substrate (DSNS) computational creativity approach. The

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

Here is a new 'KQBNN vs kbn' chess construct composed autonomously by a computer program, Chesthetica, using the Digital Synaptic Neural Substrate (DSNS) computational creativity approach. It doesn't use

Published online for the first time, consider this KQRBP vs krbp #3 chess construct composed autonomously by a computer using the Digital Synaptic Neural Substrate (DSNS) computational creativity approach.

What we have here is a 'KBBNNPP vs kpp' chess puzzle or problem (whichever you wish to call it) composed by the prototype computer program, Chesthetica, using the Digital Synaptic Neural Substrate (DSNS)

Now, here we have a 'KBBNNP vs krbp' mate in 3 chess puzzle or problem (whichever you wish to call it) composed by a computer program, Chesthetica, using the Digital Synaptic Neural Substrate (DSNS)

Here is a 'KRBBNP vs knn' #4 chess problem generated autonomously by a computer using the Digital Synaptic Neural Substrate (DSNS) computational creativity approach. The DSNS does not use endgame tablebases,

Published online for the first time, consider this KRNN vs kpp chess problem generated by Chesthetica using the DSNS computational creativity approach which doesn't use any kind of traditional AI. You

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

Published online for the first time, consider this KBNNP vs krp mate in 4 chess puzzle or problem (whichever you wish to call it) composed by the prototype computer program, Chesthetica, using the

Contemplate this 'KRRRP vs knnp' #4 chess problem generated by a computer program, Chesthetica, using the Digital Synaptic Neural Substrate (DSNS) computational creativity approach. It doesn't use endgame