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June 2019

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From:
JOHN TORDAY <[log in to unmask]>
Reply To:
tree of knowledge system discussion <[log in to unmask]>
Date:
Sat, 1 Jun 2019 05:56:53 -0400
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Hi Brent, thank you for trying to explain Qualia to me. I'm still stuck on
the explanation that other than seeing the physical color red (700-635 nm),
all else are Qualia. And since seeing the color red is a physiologic
property, all of the other 'connections' are subjective associations we
have, like Proust's 'Remembrance of Things Past'. I attribute those
associations to the cell-cell signaling mechanisms that mediate physiologic
evolution, and are recalled when we see or feel red under various
circumstances. It is that inchoate 'memory' founded on our origins as
lipids immersed in water at the origin of life that has kept us alive and
evolving ever since. john

On Fri, May 31, 2019 at 3:21 PM Brent Allsop <[log in to unmask]> wrote:

> Hi John,
>
>
>
> It seems like the way you think about intercellular interactions has great
> utility.  I’m working to fully understand all this.  But when you bring the
> word “qualia” into this discussion the way you do, to me, you make it
> obvious that you don’t understand what the word “qualia” means.  You do use
> the word, with an abstract definition.  But to most people, the word qualia
> is not a word about anything abstract, in the way that you use it.
>
>
>
> To better understand qualia, let us engineer 3 different robots that can
> each pick a strawberry, experience harm, wounding and injury, and so on all
> equally functionally well.
>
>
>
> Let’s start with an easily falsifiable working hypothesis that the name
> for the neurotransmitter glutamate, and all of our abstract mathematical
> knowledge of how glutamate behaves in a synapse, are abstract mathematical
> descriptions of the causal physical stuff that is physical glutamate we can
> directly experience as having a redness quality.  The same for the
> objective name glycine and subjective name greenness, being abstract names
> for the same physical thing.
>
>
>
> The first robot will represent its knowledge of the strawberry with
> glutamate, that has a redness quality.  Knowledge of leaves will be
> represented with glycine, which is directly experienced as greenness.  This
> redness knowledge will enable this robot to distinguish and pick out the
> “ripe” ones from the green ones.
>
>
>
> The second robot will be a qualia invert
> <https://urldefense.proofpoint.com/v2/url?u=https-3A__en.wikipedia.org_wiki_Inverted-5Fspectrum&d=DwMFaQ&c=eLbWYnpnzycBCgmb7vCI4uqNEB9RSjOdn_5nBEmmeq0&r=HPo1IXYDhKClogP-UOpybo6Cfxxz-jIYBgjO2gOz4-A&m=yzjrLVsDxe1Cvy4HRhbRax3mE6joxOo-cz0Y2oqaHnc&s=cNB9zCEznFOszytmCT2nHTTJbSQMUmxsN0nAKltlQI8&e=>.
> It will represent its knowledge of the strawberry with the glycine.  So,
> this robot’s knowledge of the strawberry will be qualitatively like #1
> robot’s knowledge of the leaves.  Functionally, these robots will both pick
> strawberries, indistinguishably well.  Actually, one and two can be
> identical, on just wears red green inverting glasses.
>
>
>
> Finally, robot #3.  Let’s engineer this robot’s knowledge to be abstracted
> away from any physical qualities.  It will use the number “1” to represent
> knowledge of red things, and “0” for knowledge of green things.  This robot
> has multiple diverse kinds of interpreting mechanisms, so any different set
> of physics can represent that “1”.  For example, when a disc is magnetized
> one way, a specific interpretation mechanism will be able to get the “1”
> from that magnetized disk.  A different set of hardware will similarly get
> the “1” from +5 volts.  In other words, because of the additional
> abstracting hardware, it doesn’t matter what physics is representing its
> abstract binary knowledge.  An additional interpretation mechanism is
> required to interpret the “1” as ripe, and “0” as not ripe.  Without these
> interpretation mechanisms, this robot can not know what to pick and what to
> avoid.  Like the previous 2 robots, you can’t tell the external functional
> difference between this one, either.  The first 2 robots represent
> knowledge of the strawberry directly on physical qualities, so they are
> more efficient, since they do not require the additional abstracting
> hardware this 3rd one requires.
>
>
>
> John defines words like qualia and red only functionally, with terms like:
> “Harm”, “Wounding?” and “Injury”.  There is no qualitative meaning in any
> of these definitions.  All of the above 3 robots can experience “Harm”,
> “Wounding”, and “Injury” in qualitatively very different ways, to which
> John is qualitatively blind to.  That is what “qualia blindness” means.
>
>
>
> On Fri, May 31, 2019 at 4:21 AM JOHN TORDAY <[log in to unmask]> wrote:
>
>> Dear Brent and TOK, in putting together a brief talk on Consciousness, I
>> had to reduce my cell biologic approach to the problem due to time
>> constraints. So I decided to start with E=mc2 as the mathematical
>> expression of the Singularity of the Cosmos (I assume we're all good on
>> Einstein). Based on that 'logic', development of the embryo as cell-cell
>> signaling is the conversion of 'mass' (growth factors) into 'energy' (the
>> downstream interaction of the growth factor with its receptor (think 'lock
>> and key'), triggering an intracellular cascade of high energy phosphates
>> that ultimately affect growth and differentiation of the embryo,
>> culminating in homeostatic physiology at birth. The aggregate of those
>> cell-cell interactions is Consciousness, bearing in mind that the origin of
>> the brain is the skin as a graphic. That would explain Qualia as the way in
>> which experiences trigger consciousness, i.e. why seeing 'red' free
>> associates with the physiology of the individual, bearing in mind that
>> those homeostatic signaling cascades reference not only the physiology of
>> the current individual, but their past experiences as a species as
>> evolution too, so the Qualia go way back in the history of the organism. I
>> hope that was helpful.
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