Published online for the first time, consider this KRB vs kbpp #3 chess problem generated by a computer using the 'Digital Synaptic Neural Substrate' computational creativity approach which does not use

Here is a 'KRBNNP vs krp' #5 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

Here is a new 'KQBNN vs knn' #4 chess puzzle created by Chesthetica using the 'Digital Synaptic Neural Substrate' computational creativity method. It does not use endgame tablebases, artificial neural

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 KQRN vs knpp chess puzzle created by the program, Chesthetica, using the computational creativity approach which doesn't use any kind of traditional AI

Here is a new 'KQRBP vs kqb' #3 chess problem generated by Chesthetica using the 'Digital Synaptic Neural Substrate' computational creativity approach which does not use any kind of deep learning. Depending

An original 'KRBN vs kp' #5 chess puzzle created by a computer using the computational creativity approach which doesn't use any kind of traditional AI or even deep learning. Chesthetica has the creative

Take a look at this 'KRRPP vs kqp' #3 chess puzzle created by a computer program, Chesthetica, using the relatively new computational creativity approach called the 'DSNS'. 8/8/8/3P4/8/1RP2pq1/k1K1R3/8

Here is a new 'KRBNN vs kp' chess construct composed autonomously by a computer program, Chesthetica, using the relatively new computational creativity approach called the 'DSNS'. N5K1/8/1NB5/k7/8/8/p1R5/8

An original 'KRBNN vs kqrrp' mate in 3 chess puzzle or problem (whichever you wish to call it) composed by the program, Chesthetica, using the Digital Synaptic Neural Substrate AI computational creativity

Here is a new 'KRRN vs kp' #4 chess problem generated autonomously by the prototype computer program, Chesthetica, using the Digital Synaptic Neural Substrate (DSNS) computational creativity approach.

An original 'KRNP vs kp' mate in 5 chess problem generated autonomously by the program, Chesthetica, using the approach known as the DSNS from the sub-field of AI, computational creativity. Chesthetica

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 'KQRBP vs knp' chess puzzle created by the program, Chesthetica, 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 KBP vs kn mate in 5 chess puzzle created by Chesthetica using the 'Digital Synaptic Neural Substrate' computational creativity method. It does not use

Consider this 'KRNNPPP vs kppppp' mate in 5 chess problem generated by a computer using the relatively new computational creativity approach called the 'DSNS'. This position contains a total of 13 pieces.

Published online for the first time, consider this KQRB vs kp #3 chess puzzle created by the prototype computer program, Chesthetica, using the Digital Synaptic Neural Substrate (DSNS) computational creativity

What we have here is a 'KRRBN vs kppp' mate in 5 chess construct composed autonomously by a computer using the DSNS computational creativity approach which doesn't use any kind of traditional AI. Chesthetica

A newly published and original KRBBNPP vs knn mate in 5 chess puzzle created by a computer using the DSNS computational creativity approach which doesn't use any kind of traditional AI. You can learn more

Take a look at this 'KRNN vs kn' chess puzzle created by a computer using the Digital Synaptic Neural Substrate (DSNS) computational creativity approach. The DSNS does not use endgame tablebases, neural