The Digital Synaptic Neural Substrate: Size and Quality Matters
  We investigate the 'Digital Synaptic Neural Substrate' (DSNS) computational
creativity approach further with respect to the size and quality of images that
can be used to seed the process. In previous work we demonstrated how combining
photographs of people and sequences taken from chess games between weak players
can be used to generate chess problems or puzzles of higher aesthetic quality,
on average, compared to alternative approaches. In this work we show
experimentally that using larger images as opposed to smaller ones improves the
output quality even further. The same is also true for using clearer or less
corrupted images. The reasons why these things influence the DSNS process is
presently not well-understood and debatable but the findings are nevertheless
immediately applicable for obtaining better results.
