An original 'KRNPP vs kbnppp' four-move chess problem generated autonomously by a computer using the Digital Synaptic Neural Substrate (DSNS) computational creativity approach. The DSNS does not use endgame

These are some of the earlier problems composed by Chesthetica. There is some background music in these which you can mute, if you prefer. White to Play and Mate in 5 (Solve within 30 Seconds or Pause

Here is a 'KBNNPPP vs krrnp' study-like construct chess problem generated autonomously by a computer program, Chesthetica, using the Digital Synaptic Neural Substrate AI computational creativity method.

These are some of the earlier problems composed by Chesthetica. There is some background music in these which you can mute, if you prefer. White to Play and Win (Solve within 30 Seconds or Pause the Video)

This is an original 'KRBBP vs kbbp' mate in 3 chess problem generated autonomously by Chesthetica using the Digital Synaptic Neural Substrate (DSNS) computational creativity approach. The DSNS does not

These are some of the earlier problems composed by Chesthetica. There is some background music in these which you can mute, if you prefer. White to Play and Win (Solve within 30 Seconds or Pause the Video)

Consider this 'KQBNP vs krnp' mate in 3 chess problem generated autonomously by the program, Chesthetica, using the DSNS computational creativity approach which doesn't use any kind of traditional AI.

These are some of the earlier problems composed by Chesthetica. There is some background music in these which you can mute, if you prefer. White to Play and Win (Solve within 30 Seconds or Pause the Video)

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

An original 'KRBN vs kp' four-move chess problem generated autonomously by a computer using the Digital Synaptic Neural Substrate (DSNS) computational creativity approach. The DSNS does not use endgame

These are some of the earlier problems composed by Chesthetica. There is some background music in these which you can mute, if you prefer. White to Play and Win (Solve within 30 Seconds or Pause the Video)

What we have here is a 'KQBB vs kb' chess problem generated autonomously by the program, Chesthetica, using the approach known as the DSNS from the sub-field of AI, computational creativity. Chesthetica

These are some of the earlier problems composed by Chesthetica. There is some background music in these which you can mute, if you prefer. White to Play and Mate in 4 (Solve within 30 Seconds or Pause

Take a look at this 'KRBB vs krnp' mate in 3 chess problem generated autonomously by a computer program, Chesthetica, using the Digital Synaptic Neural Substrate AI computational creativity method. You

These are some of the earlier problems composed by Chesthetica. There is some background music in these which you can mute, if you prefer. White to Play and Mate in 5 (Solve within 30 Seconds or Pause

What we have here is a 'KRNN vs kpppp' mate in 3 chess problem generated autonomously by a computer using the approach known as the DSNS from the sub-field of AI, computational creativity. There is also

These are some of the earlier problems composed by Chesthetica. There is some background music in these which you can mute, if you prefer. White to Play and Win (Solve within 30 Seconds or Pause the Video)

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 'KQNN vs kp' mate in 3 chess problem generated autonomously by Chesthetica using the Digital Synaptic Neural Substrate (DSNS) computational creativity approach. The DSNS does not use

These are some of the earlier problems composed by Chesthetica. There is some background music in these which you can mute, if you prefer. White to Play and Mate in 5 (Solve within 30 Seconds or Pause