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apeiron said:What? You still seem to be trying to map this to an epistemology/ontology distinction. And that is so missing the point that I doubt I can straighten things out.
well, no, I'm was answering bohm's question, which was exactly about epistemology vs. ontology, but it's still related very much to the epistemic cut:
bohm2 said:Does semiosis bring any new facts to bear or is it just a different way of looking at the known "facts" of neuroscience, biology, cognition, etc.? I mean, does it make any new predictions/testable models? Is it a just a philosophical perspective or a different approach that offers new directions/predictions? If the latter what are some of those predictions/testable models?
apeiron said:Semiosis (and systems thinking) would take the symbol side to be as real, measurable and dependable as the material side. Software and hardware, if you like. Both distinct from each other (separated by an epistemic cut), but also both real.
I'm not saying the symbol side is "fake" by any means. But symbols are arbitrary. An 'a' does exist, but it has no meaning alone, and it's place is no better or worse served by a 'b'. But, you can't have an alphabet of just 'a' so there is something meaningful about how the symbols exist, but it's not their labels (i.e. it's not the symbol itself).
Have you read JA Scott Kelso's Dynamic Patterns? He is really good at modelling this kind of dynamics. But I am still arguing that you can only get so far with DST (otherwise that is all I would have needed to be interested in). You need the story from the other side of the epistemic cut as well.
So you can explain hysteresis in terms of bistability, but then something must be prodding the system from one state to the next. You could say it is a random internal fluctuation (which might be the best answer in a system which has such fluctuations). Or you could say it was a driving input - and now you have something further that is external and must be accounted for. And then this driving input might be a memory, a bit of coded information, a symbol. And now you are really talking about something diifferent in kind.
If you can offer a reference where you think bifurcation theory does the complete job here, please do.
I think DST is an important piece of the puzzle - it means that the computational side of reality has so much less work to do because dynamical systems do so much of their own self-organising. But then there still is that job of switching states in a way organised by memory and habit.
I have not heard of Kelso but looking over his CV he has many publications in Chaos, PRE, and IEEE. One of his publications looks relevant. I've bolded the part dealing with bifurcation. Here, the external 'force' is the control parameter.
abstract said:Pattern formation and switching between self-organized states are often associated with instabilities in open, nonequilibrium systems. We describe an experiment which shows that systematically changing a control parameter induces qualitative changes in sensorimotor coordination and brain activity, as registered by a 37-SQUID (Superconducting Quantum Interference Device) array. Near the instability point, predicted features of nonequilibrium phase transitions (critical slowing down, fluctuation enhancement) are observed in both the psychophysical data and the brain signals obtained from single SQUID sensors. Further analysis reveals that activity from the entire array displays spatial patterns evolving in time. Such spatiotemporal patterns are characterized by the dynamics of only a few coherent spatial modes.
apeiron said:As you note, there are the genes as a straight dormant code, then the genes in action as a dynamical device. It is the gap between these two kinds of existence that the epistemic cut/semiosis seeks to span.
Yes, people do this with dynamical systems! All that's different is the philosophical approach, really (but this doesn't have a null-effect on the science)
here's some groundwork that I found quickly. I can spend more time on this later if you're really interetsed:
http://chaos.aip.org/resource/1/chaoeh/v11/i1/p160_s1?isAuthorized=no
http://prl.aps.org/abstract/PRL/v88/i4/e048101
http://www.sciencedirect.com/science/article/pii/S0022519305800785
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ow Deeply Hidden", 2009, p. 192-3)