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Re: cognitive != observable?



In message <[EMAIL PROTECTED]>, Anthony Bucci <[EMAIL PROTECTED]> writes
>>>Secondly, what is widely referred to as 'cognitive behaviour', invariably
>>>reduces to publicly observable and measurable behaviours - a fact which
>>>renders the qualifier 'cognitive' redundant except as a convenient
>>>sub-classifier.

That above is a thesis, not a fact. Indeed, it's an important thesis which has been batted around for awhile but is still not settled. The most interesting alternative to me deals with the idea that a non-trivial high-level behavior can "emerge" out of the simple interactions of low-level behaviors. A classic example is water: hydrogen and oxygen are both gases, and a simple-minded addition of them would lead to another gas, but instead it leads to water (and a big explosion if you're not careful). Likewise, we might know what individual neurons do, but a big interconnected network of them can do other things like prove theorems or argue on USENET which are not obviously predictable from the actions of the individual neurons.

A converse to that: if we can observe the high-level behaviors of a
system, we cannot necessarily predict which low-level component behaviors
led to the emergence of those high-level behaviors.  In other words, the
cognitive needn't be reducible to the observable behaviors, because that
amounts to saying that by watching the high-level behavior of an organism
you can predict what the various parts of its brain were doing.  We can't
do that now, and it's possible that in principle it can never be done
fully.

Surely this is one of the most important unanswered questions in science
right now.

Hi,

I do understand what you are saying, and I *will* look into what you've mentioned, but what I'm suggesting here and elsewhere is quite radical so bear with me when I suggest what I do below:

I'm going to ask you to look into the context of where that extract came from, what the system was endeavouring to do, what the papers which supplement it on "What Works" review (at the same website) and what this suggests. This will explain *why* I made the statement that I did in that extract.

having done that, you might, I hope, reconsider and appreciate better what I'm saying, and why I'm saying it.

Whatever we do, be it laboratory based or in a wider applied context, we are always working with behaviours - how we *talk* about this may change a little, but in the final analysis, we work with behaviour. It is easier *not* to see that when you are working with a limited set of that behaviour (usually verbal behaviour) in an academic context. It is much *harder* not to see this when one works in an applied context where outcome or change is a Key Performance Indicator. In this particular situation, I think the applied psychologist has something useful to say to the academic psychologist. In these contexts, one *could* say that "cognitive" is either a metaphor for a complex of behaviours, or it refers rather explicitly to a collection of skills which can loosely be called "verbal" behaviours. Bear with me through this:


http://www.longley.demon.co.uk/Frag.htm


or

http://www.longley.demon.co.uk/Fragjn97.pdf


and for the application area:


What Works & What Can be Effectively Managed: A Close Look at the Data (1997a) http://www.longley.demon.co.uk/Sm-97apr.pdf

A Further Comment on Recent Claims in the 'Rehabilitation of
Rehabilitation Literature..(1997b)
http://www.longley.demon.co.uk/Workj97.pdf

and some relevant recent research.

http://www.homeoffice.gov.uk/rds/pdfs2/r206.pdf
http://www.homeoffice.gov.uk/rds/pdfs2/r205.pdf

These ideas have been formalized in an interesting way by A. Ehresmann (a
mathematician) and J.P. Vanbremeersch (a physician) in the form of "memory
evolutive systems."  They are attempting to capture this idea of
non-trivial behaviors emerging out of the interactions of low-level
components.  One point they demonstrate is exactly how the interconnection
of the components can lead to higher level behaviors which are not cleanly
predictable unless you know those interconnections.  Clearly there are
important implications of that observation, since we can rarely know all
the interconnections which exist among a system's components --
particularly when the system is as complicated as a brain.  Others in the
artificial life community, for instance Nils Baas, do similar work.
There is a forthcoming special issue of the journal Artificial Life on
Dynamical Hierarchies which is all about this question.

Anthony




--
David Longley



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