Article subtitle: How complex systems learn and keep learning. I appreciate this different take on hierarchy, as
"the relationship between components in a system that have different change-rates and different scales of size. […] Consider the differently paced components to be layers. Each layer is functionally different from the others and operates somewhat independently, but each layer influences and responds to the layers closest to it in a way that makes the whole system resilient."
This is much more like the dynamic systems and autopoietic approaches that operate via structural coupling versus the hierarchical complexity approach, where the latter sees each layer being subsumed into the higher via the same scale-free, fractal dynamic. I call the former approaches hier(an)archical synplexity to differentiate them.
No comments:
Post a Comment
Note: Only a member of this blog may post a comment.