The pattern is that people recognize patterns. Patterns of sensory
experience that get resolved to people, places, things, phenomena.
Patterns of gesture, utterance, markings on media which get recognized
as language. Patterns of linguistic expression which contend to be
seen as models, or metaphors, or analogies, or similes, or
congruencies, or homologies, or patterns.
At this point, one might ask: how many layers of pattern recognition
are there between sensory experience and arguments about models and
metaphors? But our best artificial examples of pattern recognizers
are deep neural nets, and they don't care about no stinking layers. A
"layer" in a net might feed its conclusions to the "next layer", to
itself, to its peers, to its ancestors, to its descendants, to any of
the above with a delay, or all of the above. The net architecture is
probably written to allow as many of these connections as are feasible
and to use the back propagation of error to prune. And next week's
architecture will have more feasible connections than last week's.
So that's a model of why we can get in such a muddle when we talk
about patterns of patterns, we try to impose patterns of logical
consistency, coherent architecture, hierarchical structure,
modularity, levels of organization, and so on, all of which are good
patterns, but they are none of them the ruling pattern that our
pattern recognizers are built on, which is all of the above, and some
other principles as yet to be recognized, in whatever proportions works.
Pattern recognition is a form of natural selection. The result is
bricolage rather than direct application of engineering principles. I
was trying to find the adjectival form for bricolage. Adventitious,
fortuitous, seredipitous -- but all of these imply a kind of luck, and
promiscuous implies undiscriminating. I'm looking for the word for
discriminating in its selection of elements but entirely open to
whatever solution might be available. Hmm.
All of this leaves aside the issue of whether the pattern recognized
is true or false according to the pattern of empirical falsification
or the pattern of feels right.
-- rec --
On Sun, Jun 11, 2017 at 8:57 AM, Nick Thompson
<nickthomp...@earthlink.net <mailto:nickthomp...@earthlink.net>> wrote:
R.
Y-e-e-e-e-e-e-e-s…………….............?
And the pattern is…………………?
N
Nicholas S. Thompson
Emeritus Professor of Psychology and Biology
Clark University
http://home.earthlink.net/~nickthompson/naturaldesigns/
<http://home.earthlink.net/%7Enickthompson/naturaldesigns/>
*From:*Friam [mailto:friam-boun...@redfish.com
<mailto:friam-boun...@redfish.com>] *On Behalf Of *Roger Critchlow
*Sent:* Sunday, June 11, 2017 7:11 AM
*To:* The Friday Morning Applied Complexity Coffee Group
<friam@redfish.com <mailto:friam@redfish.com>>
*Subject:* Re: [FRIAM] Model, Metaphor, Analogy
I think I'm starting to see a pattern here.
-- rec --
On Sat, Jun 10, 2017 at 11:56 PM, Tom Johnson <t...@jtjohnson.com
<mailto:t...@jtjohnson.com>> wrote:
Dave West writes: "... An example, "the future is in front of
us."
Unless you're a member of some Andean tribe whose name I've
forgotten. Then the past is in front of use because we know
what it is, we can see it. And the future is behind us
because we know not what it is. (Source: a recent SAR lecture
that isn't online yet.)
TJ
============================================
Tom Johnson
Institute for Analytic Journalism -- Santa Fe, NM USA
505.577.6482 <tel:%28505%29%20577-6482>(c) 505.473.9646
<tel:%28505%29%20473-9646>(h)
Society of Professional Journalists <http://www.spj.org>
*Check out It's The People's Data
<https://www.facebook.com/pages/Its-The-Peoples-Data/1599854626919671>*
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t...@jtjohnson.com <mailto:t...@jtjohnson.com>
============================================
On Sat, Jun 10, 2017 at 8:53 PM, Jenny Quillien
<jquill...@cybermesa.com <mailto:jquill...@cybermesa.com>> wrote:
If there is a WedTech on this thread I would also
certainly attend. So I vote that Dave gets busy and leads
us toward the light.
Jenny Quillien
On 6/10/2017 8:24 PM, Prof David West wrote:
Hi Nick, hope you are enjoying the east.
The contrast class for "conceptual metaphor" is
"embedded metaphor" ala Lakoff, et. al. An example,
"the future is in front of us." Unless, of course you
speak Aymaran in which case "the future is behind us."
Steve, I do not regularly attend WedTech, but if this
thread becomes a featured topic, I certainly would be
there.
davew
On Sat, Jun 10, 2017, at 07:35 PM, Nick Thompson wrote:
Hi, Dave,
Thanks for taking the time to lay this out. I
wonder what you call the present status of
“natural selection” as a metaphor. In this case,
the analogues between the natural situation and
the pigeon coop remain strong, but most users of
the theory have become ignorant about the salient
features of the breeding situation. So the
metaphor hasn’t died, exactly; it’s been sucked
dry of its meaning by the ignorance of its
practitioners.
I balk at the idea of a “conceptual metaphor”.
It’s one of those terms that smothers its object
with love. What is the contrast class? How could
a metaphor be other than conceptual? I think the
term subtly makes a case for vague metaphors. In
my own ‘umble view, metaphors should be as
specific as possible. Brain/mind is a case two
things that we know almost nothing about are used
as metaphors for one another resulting in the vast
promulgation of gibberish. Metaphors should sort
knowledge into three categories, stuff we know
that is consistent with the metaphor, stuff we
know that is IN consistent with the metaphor, and
stuff we don’t know, which is implied by the
metaphor. This last is the heuristic “wet edge”
of the metaphor. The vaguer a metaphor, the more
difficult it is to distinguish between these three
categories, and the less useful the metaphor is.
Dawkins “selfish gene” metaphor, with all its
phony reductionist panache, would not have
survived thirty seconds if anybody had bothered to
think carefully about what selfishness is and how
it works. See,
https://www.researchgate.net/publication/311767990_On_the_use_of_mental_terms_in_behavioral_ecology_and_sociobiology
<https://www.researchgate.net/publication/311767990_On_the_use_of_mental_terms_in_behavioral_ecology_and_sociobiology>ThTh
This is why it is so important to have something
quite specific in mind when one talks of layers.
Only if you are specific will you know when you
are wrong.
I once got into a wonderful tangle with some
meteorologists concerning “Elevated Mixed Layers”
Meteorologists insisted that air masses, of
different characteristics, DO NOT MIX. It turns
out that we had wildly different models of
“mixing”. They were thinking of it as a
spontaneous process, as when sugar dissolves into
water; I was thinking of it as including active
processes, as when one substance is stirred into
another. They would say, “Oil and water don’t
mix.” I would say, “bloody hell, they do, too,
mix. They mix every time I make pancakes.” The
argument drove me nuts for several years because
any fool, watching hard edged thunderheads rise
over the Jemez, can plainly see both that the
atmosphere is being stirred AND that the most air
in the thunderhead is not readily diffusing into
the dryer descending air around it. From my point
of view, convection is something the atmosphere
does, like mixing; from their point of view,
convection is something that is DONE TO the
atmosphere, like stirring. You get to that
distinction only by thinking of very specific
examples of mixing as you deploy the metaphor.
Nick
Nicholas S. Thompson
Emeritus Professor of Psychology and Biology
Clark University
http://home.earthlink.net/~nickthompson/naturaldesigns/
<http://home.earthlink.net/%7Enickthompson/naturaldesigns/>
*From:*Friam [mailto:friam-boun...@redfish.com
<mailto:friam-boun...@redfish.com>] *On Behalf Of
*Prof David West
*Sent:* Saturday, June 10, 2017 11:36 AM
*To:* friam@redfish.com <mailto:friam@redfish.com>
*Subject:* Re: [FRIAM] Model, Metaphor, Analogy
long long ago, my master's thesis in computer
science and my phd dissertation in cognitive
anthropology dealt extensively with the issue of
metaphor and model, specifically in the area of
artificial intelligence and cognitive models of
"mind." the very first academic papers I published
dealt with this issue (They were in AI MAgazine,
the 'journal of record' in the field at the time.
My own musings were deeply informed by the work of
Earl R. MacCormac: /A Cognitive Theory of
Metaphor/ and /Metaphor and Myth in Science and
Religion./
MacCormac argues that metaphor 'evolves' from
"epiphor" the first suggestion that something is
like something else to either "dead metaphor" or
"lexical term" depending on the extent to which
referents suggested by the first 'something' are
confirmed to correlate to similar referents in the
second "something." E.G. an atom is like a solar
system suggests that a nucleus is like the sun and
electrons are like planets plus orbits are at
specific intervals and electrons can be moved from
one orbit to another by adding energy
(acceleration) just like any other satellite. As
referents like this were confirmed the epiphor
became a productive metaphor and a model, i.e. the
Bohr model. Eventually, our increasing knowledge
of atoms and particle/waves made it clear that the
model/metaphor was 'wrong' in nearly every respect
and the metaphor died. Its use in beginning
chemistry suggests that it is still a useful tool
for metaphorical thinking; modified to "what might
you infer/reason, if you looked at an atom _as if_
it were a tiny solar system."
In the case of AI, the joint epiphors — the
computer is like a mind, the mind is like a
computer — should have rapidly become dead
metaphors. Instead they became models "physical
symbol system" and most in the community insisted
that they were lexical terms (notably Pylyshyn,
Newell, and Simon). To explain this, I added the
idea of a "paraphor" to MacCormac's evolutionary
sequence — a metaphor so ingrained in a paradigm
that those thinking with that paradigm cannot
perceive the obvious failures of the metaphor.
MacCormac's second book argues for the
pervasiveness of the use and misuse of metaphor
and its relationship to models (mathematical and
iillustrative) in both science and religion. The
"Scientific Method," the process of doing science,
is itself a metaphor (at best) that should have
become a dead metaphor as there is abundant
evidence that 'science' is not done 'that way' but
only after the fact as if it had been done that
way. In an Ouroborosian twist, even MacCormac;s
theory of metaphor is itself a metaphor.
If this thread attracts interest, I think the work
of MacCormac would provide a rich mine of
potential ideas and a framework for the
discussion. Unfortunately, it mostly seems to be
behind pay walls — the books and JSTOR or its ilk.
dave west
On Fri, Jun 9, 2017, at 03:11 PM, Steven A Smith
wrote:
I meant to spawn a fresh proto-thread here, sorry.
Given that we have been splitting hairs on
terminology, I wanted to at least OPEN the
topic that has been grazed over and over,
and that is the distinction between Model,
Metaphor, and Analogy.
I specifically mean
1. Mathematical Model
<https://en.wikipedia.org/wiki/Mathematical_model>
2. Conceptual Metaphor
<https://en.wikipedia.org/wiki/Conceptual_metaphor>
3. Formal Analogy
<https://en.wikipedia.org/wiki/Analogy>
I don't know if this narrows it down
enough to discuss but I think these three
terms have been bandied about loosely and
widely enough lately to deserve a little
more explication?
I could rattle on for pages about my own
usage/opinions/distinctions but trust that
would just pollute a thread before it had
a chance to start, if start it can.
A brief Google Search gave me THIS
reference which looks promising, but as
usual, I'm not willing to go past a
paywall or beg a colleague/institution for
access (I know LANL's reference library
will probably get this for me if I go in
there!).
http://www.blackwellreference.com/public/tocnode?id=g9780631221081_chunk_g97806312210818
<http://www.blackwellreference.com/public/tocnode?id=g9780631221081_chunk_g97806312210818>
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