The third consistent and persistent characteristic of complexity that Preiser finds in the literature is non-homogeneity, or as I prefer to say it, heterogeneity. I did not notice if she explains why she prefers the negative expression rather than the positive, but I prefer the positive, probably because of my reading of Deleuze and Guattari's characteristics of rhizomatic structures which have informed my thinking for years now and which resonate well in Preiser's writing.
In an earlier post, I summarized Preiser's non-homogeneity this way:
Complex systems are comprised of a number of heterogeneous components with multiple, dynamic pathways among them that create rich and diverse interactions which become too complex to calculate. The elements and interrelationships change over time and scale.
Like Deleuze and Guattari, Preiser joins the concepts of multiplicity and heterogeneity to say that complex systems are made up of a number of distinguishable entities that interact with each other in countless ways to form a functioning entity that itself helps make up an enclosing, functioning entity. So to understand Keith Hamon through the lens of complexity, I must think of myself as comprised of a number of different organs that interconnect with each other along multiple, dynamic pathways that create rich, diverse interactions that are too complex to fully calculate. Moreover, I must think of different scales, so that I see each of my organs -- my lungs, for instance -- as a complex system itself comprised of tissues and cells, which are themselves complex entities comprised of multiple, heterogeneous molecules, which are themselves ... well, you know the drill by now. And I must be able to scale up to see that I, Keith Hamon, am one of the multiple, heterogeneous entities that comprise larger complex systems: my university or my family, for instance. And all of these different entities at the different scales are all interconnected by countless pathways to manage various flows of energy, matter, information, and organization to all the other entities at all scales. For example, consider an image of just one complex system, the Internet:
|A Map of the Internet in 2017|