/A,

What is your definition of social relativism?


Marsha   



On Oct 28, 2010, at 5:27 AM, Alexander Jarnroth wrote:

> Hello Mark.
> 
> Two replies directly.
> 1. A line parallel to the time-axis in some perpendicular dimension, would
> have a constant value as a function of time in that dimension.
> In an ordinary Cartesian plane, if time is the horizontal axis a line
> parallel to that axis would have a constant value compared to the vertical
> axis.
> 
> 2. What I meant was that if all probabilities for a signal to follow a
> certain path is equal to either one or zero, in the model, the probabilities
> wouldn't change anymore, and then signals propagated would always use the
> same paths. Such a system would be able to transmit signals, but it wouldn't
> be able to change the way it transmits them: and such a system would have no
> dynamic quality in the context considered.
> 
> The interesting thing with entropy is that it is an abstract concept (you
> don't talk about any field particles or anything, not even forces) and it is
> defined in different ways in different contexts, sometimes it is an amount
> of probability, sometimes it's heat, sometimes it's motion, sometimes it's
> variance and so on.
> When Shannon introduced the term in communication theory/information theory,
> it was because von Neumann had advised him to use the term. Then they use
> either Maxwell's Demon, or some concept of atomic proposed perpetuum mobile,
> to infer the connection with statistical mechanics, but that was much later.
> 
> Prior to reading Pirsig's work, I had some concepts of my own.
> Regarding cognition, for instance, I had three levels:
> 1. Instinctive (egoistic)
> 2. Emotive (social)
> 3. Rational (universal)
> 
> Instinctive cognitions concerns drives, such as hunger, third, sleep, sex,
> fright. Emotive concerns emotions which you express somehow, such as love,
> hate, joy, sadness and so on.
> Rational cognition was the servant of these two, trying to find the means to
> satisfy them.
> For values, which I thought was established arbitrarily by the social system
> (but so as to preserve the particular social system imposing them) I had the
> following questions to determine them at a personal level:
> 1. For what are you ready to die? (the personal meaning of live)
> 2. For what are you ready to perform work, without other profit than the
> performance? (the meaning in life)
> The idea was that you did all else you did in order to be able to do #2 and
> self-sacrifice for #1.
> Then, concerning science, from the "synthesist perspective", science is just
> a special case of art, which concerns itself with what is useful (that is
> rational).
> 
> But here I was stuck. It felt as though I had to get into some kind of
> social relativism, but I didn't like social relativism. And I was also
> trying to go around the Cartesian dichotomy in this way.
> 
> When I read Pirsig's first book, to me it seemed that he was just mystifying
> his own values and feelings. I just thought of him as an "over-intelligent"
> person, having lost contact with his emotional self and thus feeling a need
> to mystify it, because he couldn't find a rational way to deal with it.
> Perhaps this actually was so, I don't know.
> But with Lila, he actually solved the problem of social relativism by means
> of the MoQ.
> That's why I came to like it.
> 
> /A
> 
> -----Original Message-----
> From: [email protected]
> [mailto:[email protected]] On Behalf Of 118
> Sent: den 28 oktober 2010 00:41
> To: [email protected]
> Subject: Re: [MD] The Dynamics of Value
> 
> Hi A/,
> Nonsense or not, it's a fun read.  I have some comments which I will place
> in your thesis(?) below.  -Mark
> 
> [A/]
> To Ham/Mark and others.
> 
> To me that's just a way of categorization, and in MoQ, MoQ itself i sorted
> under the same category. You shouldn't be surprised to find such maps. For
> my part, I would probably have dismissed MoQ hadn't I been able to see any
> such connections. You can't really explain why science "works", if you
> reduce it to an intellectual pattern not corresponding to anything.
> 
> [Mark's attitude]
> MOQ is an analogy.  It should be used for ones own positive purposes, and
> dismissed if one does not find it useful.  I have gained much from the
> notion of Quality especially during my formative years.  Personally, I use
> it as a spring board for all sorts of nonsense. This do doubt annoys the
> purists, but I do feel I have something to add, just in my own way.
> 
> [A/]
> Anyway. I actually expanded on the topic today. I had some different trains
> of thought, but this was the analogy that seemed to work best.
> In creating  map between the two SYSTEMS OF THOUGHT (which is the way I
> conceive them, such systems span statement spaces), we should first find the
> analogy to the concept of Quality as a whole. After ponding some time, I
> found it to be negentropy, which is also information (in the Shannon
> concept).
> 
> [Mark]
> Seems like a good starting point.  I believe Pirsig used this kind of
> analogy and then was accused of being Theological.  Some discuss posts I
> contributed to in the past dealt with thermodynamics, and the apparent well
> of negative entropy (the spark of life).
> 
> [A/]
> Why this? Well, first of all, in ordinary science information is what the
> brain, as a concrete system is working with. A sound, for example, having
> the highest entropy (the largest variation), would be perceived as noise.
> The same with light, which would just be a "whiteness" and no colors. In a
> word of "total entropy", there wouldn't be anything at all: everything would
> be totally shattered and there would be no motion at all.
> You don't perceive the Brownian motion of the molecules in the air, which is
> high entropic, but you do perceive a wind, which is a low entropic motion.
> And so on. So I just state the relation as axiomatic: Quality -> Negentropy.
> Now, how should we map the division between static and dynamic?
> In mathematic systems theory all dynamics are functions of time. How could
> we conceive this? If we have a space-time (and the "space" doesn't have to
> consist of spatial dimensions only), then anything dynamic, is moving along
> some curve not parallel to the time dimension in that non-time dimension(s)
> considered.
> 
> [Mark]
> Interesting use of information simplification.  I have considered an
> interpretation of the levels as harmonics, with noise in between.  I believe
> in your in your last sentence above you meant "static" instead of "dynamic".
> If not, then I do not follow.
> 
> 
> [A/]
> Then of course, what is static and what is dynamic depends on which
> dimension(s) you are considering (it's quite easy to imagine a
> three-dimensional Cartesian space, were a curve is parallel to the time axis
> in one but not the other of the other two).
> This would, then, be the description of static and dynamic in the frame of
> "static physical patterns". Which scale you chose to measure, would in any
> case depend upon just what kind of pattern you study.
> Because by measuring you are gaining some quantity of information, which it
> just would be cumbersome to try to compare to some absolute scale. It's
> better to choose some relative scale useful in the context.
> The amount of some dynamic pattern, would straight of be the amount of
> information/energy gained or paid for the measurement. A amount of a static
> pattern would be the different ways it could be decomposed.
> 
> [Mark]
> I makes sense to separate DQ from SQ in terms of dimensional
> characteristics, such as the two dimensional world from the three.  I am not
> quite sure where this would lead however.  A similar notion could be seen in
> the difference between a point and a vector. (SQ and DQ).
> 
> [A/]
> If I allow myself to oversimplify, consider the central nervous system for
> instance. It consists of neurons and connections between those, called
> synapses. The probability that a signal is propagated through any specific
> synapse when a neuron fire is a number between zero and one. The total
> number of possible connections between neurons would be a function of the
> number of neurons, N,
> 
> f(N)=(N(N-1)/2
> 
> In this simplified particular instance, I would term this number of a
> maximally connected network, the amount of static patterns of the system
> considered. The amount of change in the probabilities of the synapses, on
> the other hand, would be the dynamics.
> 
> To reduce the number of static patterns, you have to remove neurons, and to
> reduce the dynamic patterns, the system must approach the state when all
> probabilities are either one or zero (if you make it a discrete model, for
> instance, you could make a probability increase every time the synapse
> carries a signal and make it decrease every time the synapse hasn't carried
> a signal for three iterations or more).
> 
> [Mark]
> It would be nice if the brain were that overly simple.  I spent a few years
> studying the brain (in rats), even got some publications out.  The digital
> analogy falls apart due to summation of input which is a result of density
> of connections, constant changes (adaptations) of the synaptic cleft, and so
> forth.  There is also a chemical gradation between synapses that may delay
> firing, and a transmitter clean-up which affects signal transduction.  But
> yes, either a nerve propagates an action potential or it doesn't, so a
> binary system is appropriate, and I see your point of making the nerves
> static for descriptive purposes.  How information is stored by the brain is
> a whole 'nother subject.  Probabilities of one or zero, doesn't sound like
> statistics to me, but what do I know.
> 
> [A/]
> Perhaps this is just nonsense, but anyway :-)
> 
> [Mark]
> Ditto
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