Here is a KBBPP vs knp #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. Depending on

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

Take a look at this KQBNP vs kqb mate in 3 chess problem generated autonomously by a computer using the Digital Synaptic Neural Substrate AI computational creativity method. You can learn more about the

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

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

Take a look at this KQRNNP vs kbnp three-move chess problem generated autonomously by the prototype computer program, Chesthetica, using the Digital Synaptic Neural Substrate (DSNS) computational creativity

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

An original KRNP vs k three-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 KNNPP vs krnp study-like construct chess problem generated autonomously by a computer program, Chesthetica, using the relatively new computational creativity approach called the 'DSNS'.

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 3 (Solve within 30 Seconds or Pause

An original KQBN 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 Mate in 3 (Solve within 30 Seconds or Pause

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

What we have here is a KQRP vs kqrp 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 no proven limit

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

An original KNPP vs kpp chess problem generated autonomously by the program, Chesthetica, 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 3 (Solve within 30 Seconds or Pause

An original KRB vs kbp five-move chess problem generated autonomously by the prototype computer program, Chesthetica, using the Digital Synaptic Neural Substrate (DSNS) computational creativity approach.

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 3 (Solve within 30 Seconds or Pause