Chess compositions have been around for over a thousand years, and composers aim to tap not only the practical but also the aesthetic sense of solvers. Recently AZLAN IQBAL has investigated the potential

Published online for the first time, consider this KRBNNP vs kqp mate in 5 chess construct composed autonomously by a computer using the computational creativity approach which doesn't use any kind of

Here is a 'KQRPP vs krnpp' five-move chess puzzle or problem (whichever you wish to call it) composed by the prototype computer program, Chesthetica, using the relatively new computational creativity approach

Published online for the first time, consider this KQNNP vs krp three-move chess problem generated autonomously by a computer using the DSNS computational creativity approach which doesn't use any kind

An original 'KRBBNN vs kbpp' chess problem generated by the program, Chesthetica, using the approach known as the DSNS from the sub-field of AI, computational creativity. The program can compose problems

Published online for the first time, consider this KQRB vs kqrb chess puzzle or problem (whichever you wish to call it) composed by the program, Chesthetica, using the 'Digital Synaptic Neural Substrate'

Now, here we have a 'KRBBP vs krpp' mate in 3 chess problem generated autonomously by a computer program, Chesthetica, using the approach known as the DSNS from the sub-field of AI, computational creativity.

Now, here we have a 'KQRRBNP vs krrnp' mate in 3 chess construct composed autonomously by the program, Chesthetica, using the approach known as the DSNS from the sub-field of AI, computational creativity.

This is an original 'KQRB vs kqrnp' mate in 3 chess problem generated by a computer program, Chesthetica, using the 'Digital Synaptic Neural Substrate' computational creativity approach which does not

A new if not unique KQRRB vs krbnp chess puzzle created by the prototype computer program, Chesthetica, using the 'Digital Synaptic Neural Substrate' computational creativity method. It does not use endgame

Consider this 'KRRBN vs kpp' four-move chess problem generated autonomously by the prototype computer program, Chesthetica, using the 'DSNS' computational creativity approach which does not use any kind

Now, here we have a 'KQBP vs krn' mate in 4 chess problem generated autonomously by the program, Chesthetica, using the 'DSNS' computational creativity approach which does not use any kind of machine or

Consider this 'KQNN vs kqrb' chess puzzle or problem (whichever you wish to call it) composed by a computer program, Chesthetica, using the Digital Synaptic Neural Substrate (DSNS) computational creativity

A new if not unique KQBB vs krrnpp chess problem generated by the program, Chesthetica, using the 'DSNS' computational creativity approach which does not use any kind of machine or deep learning. You can

Here is a 'KQRB vs kq' mate in 3 chess construct composed autonomously by Chesthetica using the DSNS computational creativity approach which doesn't use any kind of traditional AI. Chesthetica has the

Contemplate this 'KRRBPP vs kpp' mate in 4 chess puzzle or problem (whichever you wish to call it) composed by a computer using the 'Digital Synaptic Neural Substrate' computational creativity method.

Here is a 'KRBNN vs knnp' mate in 3 chess construct composed autonomously by Chesthetica using the DSNS computational creativity approach which doesn't use any kind of traditional AI. Chesthetica has the

Take a look at this 'KRRBN vs kbnpp' mate in 5 chess puzzle created by a computer program, Chesthetica, using the Digital Synaptic Neural Substrate (DSNS) computational creativity approach. It doesn't

Here is a new 'KBNNPPPP vs kbpp' five-move chess puzzle or problem (whichever you wish to call it) composed by a computer using the DSNS computational creativity approach which doesn't use any kind of

Published online for the first time, consider this KRBNN vs kbbp chess problem generated autonomously by a computer program, Chesthetica, using the Digital Synaptic Neural Substrate (DSNS) computational