For me, the following metaphor really helps to envision the relationship between levels and their interactions. Imagine a clear rectangular container viewed from the side. Inside the container are various substances with various degrees of attraction to and repulsion from one another, such as sand, water, vegetable oil, alcohol, pebbles, ice, motor oil, etc. (more…)
Archive for March, 2007
The following is a non-exhaustive catalog. Note that these mechanisms are in fact emergent properties of the system under study, a fact which has some fairly profound consequences when considering the lowest known levels in physical systems. Read Ervin Laszlo’s chapter, Aspects of Information, in Evolution of Information Processing Systems (EIPS) for more theoretical background.
The most trivial form of stability we can think of is an agent existing in the same place over time without change. This may only make sense as you read on, so don’t get caught up here.
Keeping time in the equation but allowing physical location to vary, we see that agents can move and continue to exist and be recognized as the “same”. This is obvious in the physical world we live in, but consider what is going on with gliders in the Game of Life. The analogy is more than loose since cellular automata are network topologies which mirror physical space in one or two dimensions. Contrast this to other network topologies, such as the brain, which has many more than two dimensions in its state space.
Talking about culture from a complex systems standpoint requires a bit of inductive leap of faith as follows. If you buy the argument that agents emerge from agents (and interactions thereof) at lower levels, then it is clear that there is some level of agency above individual humans.* What we call this level varies according to who is telling the story and what the thrust of their thesis is: population, culture, society, memetics, economy, zeitgeist, etc. The reality is that all of these levels (and more) co-exist, and we are talking about interlocking systems at varying “partial levels” with dynamic, and only loosely constrained, information flow. Nonetheless, there are common elements and properties that we can discuss that are at the very least distinct from the realm of an isolated individual human being.