John Robb’s “Dissipative Systems”
I love how Robb generalizes phenomena, creating useful frameworks that find application in many disparate domains (e.g. economics, politics, warfare, sociology, etc.) His latest is the concept of a “dissipative system,” a system that draws energy from its surroundings to resist entropic forces:
This upshot of this is that it can extract energy from this larger external environment to increase its structural complexity (build itself up through a process called self-assembly). It can also use this external environment to dump the entropy created during the energy conversion process to minimize the deleterious impact on its structure.
I’ve been doing a lot of thinking (obsessing a bit, perhaps) about how complexity emerges in various forms (at different physical scales, on different substrates), and how our own individual experiences of consciousness fit into those ideas. Robb’s “dissipative structures” is a useful tool for generalizing the underlying constraint that shapes selection functions for natural selection at every level.
For example, in a later post, Robb begins re-framing economic and conventional warfare in terms of dissipative systems in conflict:
NOTES: Isolate your opponent from the external environment to prevent energy acquisition and trap entropy (force them towards thermodynamic equilibrium and “heat death”). Increase your own connectivity to acquire energy and expel entropy faster (movement farther away from thermodynamic equilibrium and greater structural complexity).
I had this to add, in a comment on that post:
The function that translates energy into complexity is far from constant. It is highly dependent on technology, for example (compare joules required to power the Pony Express vs. fiber optic communcation, per byte.) You might call this “efficiency,” but my suspicion is that the translation function is much more complicated than that.
In any case, struggling over energy sources is necessary tactic for dissipative system, but a system may prevail with lower energy sources if its energy-to-complexity function outperforms.
Related Posts:
- No ID (June, 2006)
