Quote:
Originally Posted by neeeel
So, for example, could it be considered a weakly emergent property of my arm(+ rest of body, I guess) and a rock, for the rock to be propelled a certain distance in a parabolic trajectory?
You could possibly call it emergent, but given that the system is has so few components I think that would lead to a definition that is so broad as to be uninformative.
Quote:
Originally Posted by neeel
Possibly. Are there any examples of strong emergence, other than consciousness?
Unhelpfully, it depends very much on how one defines 'strongly emergent'.
To give a better framework in which to address your two questions, let me quote extensively from Mindware, by Andy Clark, on the subject of different ways to demarcating emergent properties (emphasis authors own, UK English spelling is my doing):
Quote:
Originally Posted by Andy Clark
1. Emergence as Collective Self-Organisation. As a clinically pure example, consider the behaviour of cooking oil heated in a pan. As the heat is applied it increases the temperature difference between the oil at the top (cooler) and at the bottom (hotter). Soon, there appears a kind of rolling motion known as a convection roll. The hotter, less dense oil rises, to be replaced by the cooler oil, which then gets hotter and rises, and so on. Of such a process Kelso (1995, pp. 7-8) writes:
The resulting convection rolls are what physicists call a collective or cooperative effect, which arises without any external instructions. The temperature gradient is called a control parameter [but does not] prescribe or contain the code for the emerging pattern... Such spontaneous pattern formation is exactly what we mean by self-organisation: the system organised itself, but there is no 'self', no agent inside the system doing the organising.
The proximal cause of the appearance of convection rolls is the application of heat. But the explanation of the rolls has more to do with the properties of an interacting mass of simple components (molecules) that, under certain conditions (viz. the application of heat), feed and maintain themselves in a specific patterned cycle. This cycle involves a kind of "circular causation" in which the activity of the simple components leads to a larger pattern, which the enslaves those same components, locking them into the cycle of rising and falling.
Just realised his second definition makes use of an example better elucidated in another of his books, so this second example is a mashup of passages from two different books by Clark:
Quote:
Originally Posted by Andy Clark
2. Emergence as Unprogrammed Functionality. Imagine you want a robot to follow walls around a room. You build into the robot a bias to veer to the right, and locate on its right side a sensor which is activated by contact and which causes the device to turn a little to the left. Such a robot will, on encountering a wall on the right, first move away (thanks to the sensor) and then quickly veer back to reencounter the wall (thanks to the bias). The cycle will repeat, and the robot will follow the wall by, in effect, repeatedly bouncing off it.
Behaviours like this are not supported by explicit programming or by any fully "agent-side" endowment. Instead they arise as a kind of side-effect of iterated sequence of agent-world interactions. The point is not that such behaviours are necessarily unexpected or un-designed - canny roboticists may well set out to achieve their goals by orchestrating just such interactions. it is, rather, that the behaviour is not sub-served by an internal state encoding either the goals ('follow the walls') or how to achieve them[...] they depend not on central or explicit control structures but on iterated agent-environment interactions.
3. Emergence as Interactive Complexity. I think we can do some justice to both the proceeding account by understanding emergent phenomena as the effects, patterns, or capacities made available by a certain class of complex interactions between systemic components. Roughly, the idea is to depict emergence as the process by which complex, cyclic interactions give rise to stable and salient patterns of systemic behaviour. By stressing the complexity of the interactions we allow emergence to come (obtain) in degrees. Phenomena that depend on repeated linear interactions with only simple kinds of feedback loop will count as, at best, only weakly emergent. In such cases it is usually unclear whether talk of emergence explanatorily useful. By contrast, phenomena that depend on multiple, non-linear, temporally asynchronous, positive feedback involving interaction will count as strongly emergent. Bounce-and-veer wall following is thus a case of weak emergence, whereas the convection roll example, when fully described, turns out to be a classic case of strong emergence. Emergent phenomena, thus defined, will typically reward understanding in terms of the changing values of a collective variable - a variable that tracks the pattern resulting from the interactions of multiple factors and forces. Such factors and forces may be wholly internal to the system or may include selected elements of the external environment.
4. Emergence and Uncompressible[sic?] Unfolding. Finally (and for the sake of completeness), I should note another (I think quite different) sense of emergence represented in the recent literature. This is the idea of emergent phenomena as those phenomena for which prediction requires simulation. Bedau (1996, p.344) thus defines a systemic feature or state as emergent if and only if you can predict it, in detail, only by modelling all the interactions that give rise to it. In such cases, there is no substitute for actual simulation if we want to predict, in detail, the shape of macroscopic unfolding. [...] This definition of emergence strikes me as overly restrictive.[...]
Now, even though that seems like a lot of text, it's really only a subset of concepts of emergence (specifically those that tend to get talked about by scientists). If you read the
SEP entry on emergent properties you'll run into all sorts of other concepts (for example, explication on the difference between ontological and epistemological emergence). My personal commentary on Clark's four models are that 1) is the sort of definition I am primarily thinking about when talking about consciousness as an emergent property. 2) I'm not really familar with as a common model, and therefore although 3) seems very reasonable I don't currently share the motivation to encapsulate both 1 & 2 that Clark does. I suspect that Clark's particular interest in robotics is the motivation. Also, pace Clark, definition 4) I am very familar with, and some conjunction of 1 & 4, IMO, is often the model you will run into when dealing with dynamical systems theory / Chaos theory.
The upshot of all this is to say that, just because some people use emergence as a way of introducing spookiness into the world, doesn't mean you should assume that that is what emergence means to everyone, much like abuse of quantum theory by woo-peddlers shouldn't motivate use to reject talk of non-locality or whatever.
Last edited by zumby; 02-18-2014 at 11:06 AM.