Dear Stan and colleagues,

Taking it literally, isn't it a pure contradiction, an oxymoron, attempting a "scientific" "mythology"? The mythos is the way of knowing purely based on tradition and on the firmest doubtlessness, where the source of authority comes only from magnificent ancestors... Well, I am going happily with Stan in the attempt of a renewed Natural Philosophy (and I think that future info outcomes may play a significant role there), but it does not necessarily mean to be engaged in a confrontation with other legitimate ways of seeing the world --and legitimately influencing in social practices, particularly by shared morals and ethos... Given the antecedents of previous historical "revolutions" I am afraid that a funny world would not result from a unilateral scientifist vision (Orwell's 1984?).

Also, reflecting on Bob's advocation of "dualism", I would like to bring to attention again the informational scheme where "agency" is implied. The philosophical outcome may be some form of "trialism", as one finds now the triplet: "world", "agents", "scientific observers". Casually I have found an interesting philosophical doctrine on trialism, as an alternative to Cartesian dualism, by John Cottingham (1985). The trialist interpretation keeps the two substances of mind and body, but introduces a third attribute, sensation, alongside thought and extension and belonging to the union of mind and body... There are many other nuances and complexities on the term, and probably some adjustments have to be made to properly fit the info scheme, but it looks OK.

At a quick glance, and just looking at the discussions we have here, every party plays at his/her own with a "world" where information of different kinds impinge on active/perceptive "agents", endowed with transformative capabilities and with some form of intelligence (embodiment, self-production, etc may enter here, or not); and the scientific "observer" establishes the cutoffs and constraints through a narrative following a particular disciplinary pathway. I have also argued that in different angles of that story, at least in Nature (cells, nervous systems, people), one has to re-enter populational thinking, optimality guidance, and the doctrine of limitation. The hierarchy/heterarchy theme is also of importance in the populational aspect (as what we see often is "nested agencies"), etc.

My contention is that the general relationship between information & intelligence (and their respective disciplines) needs a new form of discourse. Whether the depicted scaffolding may be of interest or not, is highly debatable!

best wishes

Pedro


Stanley N Salthe escribió:
in my first for the week, Replying to Joseph: Dealing as I do with hierarchies and thermodynamics, I have come to the postmodern conclusion that our explicit scientific knowledge is a logical construct -- unlike our intuitive 'knowledge' (viz. qualia) of the world we are IMMERSED IN. In these scientifically-based efforts we create a logical simulacrum (which I call 'Nature') of The World. Its basis is logic and esthetic, but today it also passes through a pragmatic filter imposed by those who pay for the science. This latter bias works mostly in choice of study objects. Stepping back from active engagement in the process of gaining primary knowledge in these ways, I feel that I am these days engaging in a renewed Natural Philosophy -- an attempt to construct a scientifically based 'mythology' for moderns, meant as an alternative to religious myths. These latter importantly have also engaged, via rituals, the qualia we are immersed in. Inasmuch as Natural Philosophy has no such practices associated with it, the primary function of the emerging Nature is to challenge the religiously based myths associated with the rituals in an attempt to unseat the associated political establishments (Rome, the Caliphate, the Republican Party, etc.) that enforce them. On Thu, Dec 9, 2010 at 7:54 AM, Joseph Brenner <joe.bren...@bluewin.ch <mailto:joe.bren...@bluewin.ch>> wrote:

    Dear All,

    In agreeing with Bob, I would like to point out that his critique
    is not
    "theoretical philosophy". He is calling attention to something
    essential
    missing in the pictures and models of Stan and Karl, namely, 1)
    the "life
    and blood" of the world; 2) that that "life and blood" follows
    different
    rules than the entities in the models; 3) those rules are based on
    real
    dualities of equal ontological purport: order and disorder,
    continuity and
    discontinuity, entropy and negentropy; etc.; and 4) these
    dualities play
    out in real interactions in biology, cognition and society, for
    example
    in information and non-information.

    It is perfectly possible to see "grids" of numbers and levels or
    hierarchies
    in Nature as abstract structures - this is indeed Karl's word, as
    is his use
    of "independence" - but this is not going toward the world, but
    away from
    it. The world includes Karls and Stans and Josephs and Bobs, and I
    challenge
    anyone to propose a theory that insures that our "antagonisms",
    which are
    real, also receive some logical treatment.

    I for one do not know everything  about everything I'm made of
    (cf. our
    fluctuon discussion), but I have the feeling it is not abstractions or
    sequences of numbers. I mentioned string theory, but I am by no
    means pushing it as the full story.

    Cheers,

    Joseph


    ----- Original Message -----
    From: "Robert Ulanowicz" <u...@umces.edu <mailto:u...@umces.edu>>
    To: <fis@listas.unizar.es <mailto:fis@listas.unizar.es>>
    Sent: Friday, December 03, 2010 4:52 PM
    Subject: Re: [Fis] reply to Javorsky


    Dear All:

    At the risk of being seen as the one who tries to throw a monkey
    wrench into the fine discussion you all are having, I would like to
    mention that the foregoing thread had focused entirely on alternatives
    among monist scenarios.

    I see the world as dual, not in the sense of Descartes, but of
    Heraclitus. If I am correct, then any strategy predicated on a monist
    principle is destined to lead to disaster. (Stan and I have gone round
    and round on this. I see entropy as double-sided and not simply as
    disorder. [Ecological Modelling 220 (2009) 1886-1892].)

    But I'm hardly the only one to warn against a monist view. Terry
    Deacon's model of self-organization, the "Autocell" acts similarly.
    The process starts by using up external gradients as quickly as
    possible, but gradually shuts down as the autocell nears
    self-completion. (Deacon, T.W. and J. Sherman. 2008. The Pattern Which
    Connects Pleroma to Creatura: The Autocell Bridge from Physics to
    Life. Biosemiotics 2:59-76.)

    The best to all,
    Bob

    -------------------------------------------------------------------------
    Robert E. Ulanowicz                |  Tel: +1-352-378-7355
    Arthur R. Marshall Laboratory      |  FAX: +1-352-392-3704
    Department of Biology              |  Emeritus, Chesapeake Biol. Lab
    Bartram Hall 110                   |  University of Maryland
    University of Florida              |  Email <u...@cbl.umces.edu
    <mailto:u...@cbl.umces.edu>>
    Gainesville, FL 32611-8525 USA     |  Web
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    Quoting Stanley N Salthe <ssal...@binghamton.edu
    <mailto:ssal...@binghamton.edu>>:

    > *Replying to Karl, who said:*
    >
    >
    > one can use a stable model used by neurology and psychology to
    come closer
    > to understanding how our brain works. This can help to formulate the
    > thoughts Pedro mentioned being obscure.
    >
    > One pictures the brain as a quasi-meteorological model of an
    extended
    > world
    > containing among others swamp, savanna, arid zones. The
    dissipation of
    > water
    > above these regions causes clouds to form and storms to
    discharge the
    > vapor
    > within the clouds. The model observes the lightnings in the
    model and sets
    > them as an allegory to thoughts (these being electrical
    discharges) as
    > opposed to hormones (that are the fluids in the swamps). So
    there is an
    > assumed independence between the rainfall, the humidity of the
    ground,
    > cloud
    > formation and lightnings. The real meteorologists would not
    agree with the
    > simplification that the lightning is the central idea of a
    rainfall, but
    > this is how the picture works (at present).
    >
    > Why I offer these idle thoughts from the biologic sciences to
    FIS is that
    > it
    > is now possible to make a model of these processes in an
    abstract, logical
    > fashion. The colleaugues in Fis are scientists in the rational
    tradition
    > and
    > may find useful that a rational algorithm can be shown to allow
    simulating
    > the little tricks Nature appears to use.
    >
    > Nature changes the form of the imbalance, once too many or too few
    > lightnings, once too much or lacking water - relative to the other
    > representation's stable state. There are TWO sets of reference. The
    > deviation between the two sets of references is what Nature uses
    in its
    > manifold activities.
    >
    >
    >       This model looks at the physical equivalences in two realms by
    > modeling in thermodynamics.  Today in thermodynamics we have an
    advancing
    > perspective known as the `Maximum Entropy Production Principle´
    (MEPP) for
    > relatively simple systems like weather, or Maximum Energy Dispersal
    > Principle´ (MEDP) for complicated material systems like the
    brain.  In
    > both
    > cases the dynamics are controlled by the Second Law of
    Thermodynamics,
    > which
    > imposes that the available energy gradients will be dissipated
    in the
    > least
    > possible time, taking the easiest routes available.  This
    becomes very
    > interesting in the brain, where the flow of depolarizations
    would then be
    > predicted to be biased in the direction of more habitual
    `thoughts´.  I
    > think that this prediction seems to be born out in our own
    experiences of
    > the frequent return of our attention to various insistent
    thoughts.  I
    > recommend that Karl inquire into MEPP.  For this purpose I paste
    in some
    > references.
    >
    >
    > STAN
    >
    >
    > MEPP related publications:
    >
    >
    > Annila, A. and S.N. Salthe, 2009.  Economies evolve by energy
    dispersal.
    >  Entropy, 2009, 11: 606-633.
    >
    >
    > Annila, A. and S.N. Salthe, 2010. Physical foundations of
    evolutionary
    > theory. Journal on Non-Equilibrium Thermodynamics 35: 301-321.
    >
    >
    > Annila, A. and S.N. Salthe, 2010.  Cultural naturalism.
     Entropy, 2010,
    > 12:
    > 1325-1352.
    >
    >
    > Bejan, A. and S. Lorente, 2010.  The constructal law of design and
    > evolution
    > in nature. Philosophical Transactions of the Royal Society, B, 365:
    > 1335-1347.
    >
    >
    > Brooks, D.R. and E.O. Wiley, 1988. Evolution As Entropy: Toward
    A Unified
    > Theory Of Biology (2nd. ed.) Chicago. University of Chicago Press.
    >
    >
    > Chaisson, E.J., 2008.  Long-term global heating from energy
    usage.  Eos,
    > Transactions of the American Geophysical Union 89: 353-255.
    >
    >
    > DeLong, J.P., J.G. Okie, M.E. Moses, R.M. Sibly and J.H. Brown,
    2010.
    > Shifts
    > in metabolic scaling, production, and efficiency across major
    evolutionary
    > transitions of life. Proceedings of the Natiional Academy of
    Sciences.
    > Early
    > EDition
    >
    >
    > Dewar, R. C., 2003.  Information theory explanation of the
    fluctuation
    > theorem, maximum entropy production, and self-organized
    criticality in
    > non-equilibrium stationary states.  Journal of Physics, A
     Mathematics and
    > General 36: L631-L641.
    >
    >
    > Dewar, R.C., 2005.  Maximum entropy production and the fluctuation
    > theorem.
    >  Journal of Physics A Mathematics and General 38: L371-L381.
    >
    >
    > Dewar, R.C., 2009.  Maximum entropy production as an inference
    algorithm
    > that translates physical assumptions into macroscopic
    predictions: Don't
    > shoot the messenger.  Entropy 2009. 11: 931-944.
    >
    >
    > Dewar. R.C. and A. Porté, 2008.  Statistical mechanics unifies
    different
    > ecological patterns. Journal of Theoretical Biology 251:389-403.
    >
    >
    > Dyke, J. and A. Kleidon. 2010. The maximum entropy production
    principle:
    > its
    > theoretical foundations and applications to the Earth system.
     Entropy
    > 2010,
    > 12:613-630.
    >
    >
    > Herrmann-Pillath, C., 2010.  Entropy, function and evolution:
    naturalizing
    > Peircean semiosis.  Entropy 2010, 12: 197-242.
    >
    >
    > Kleidon, A. (2009): Non-equilibrium Thermodynamics and Maximum
    Entropy
    > Production in the Earth System: Applications and Implications,
    > Naturwissenschaften 96: 653-677.
    >
    >
    > Kleidon, A. (2010): Non-equilibrium Thermodynamics, Maximum Entropy
    > Production and Earth-system evolution, Philosophical
    Transactions of the
    > Royal Society A, 368: 181-196.
    >
    >
    > Kleidon, A. and R. Lorenz (eds) Non-equilibrium Thermodynamics
    and the
    > Production of Entropy: Life Earth, and Beyond  Heidelberg: Springer.
    >
    >
    > Lineweaver, C.H.  2005. Cosmological and biological reproducibility:
    > limits
    > of the maximum entropy production principle.  In Kleidon, A. and
    Lorenz,
    > R.
    > Non-equilibrium Thermodynamics and the Production of Entropy:
    Life, Earth
    > and Beyond. Springer Pp. 67-76.
    >
    >
    > Lineweaver, C.H. and C.A. Egan, 2008. Life, gravity and the
    second law of
    > thermodynamics. Physics of Life Reviews (2008)
    > doi:10.1016/j.plrev.2008.08.002
    >
    >
    > Lorenz. R.D., 2002.  Planets, life and the production of entropy.
    >  International Journal of Astrobiology 1: 3-13.
    >
    >
    > Mahulikar, S.P. and H. Herwig, 2004. Conceptual Investigation of the
    > Entropy
    > Principle for Indentification of Directives for Creation,
    Existence and
    > Total Destruction of Order. Physica Scripta. Vol. 70, 212-22i.
    >
    >
    > Martyushev, L.M., 2010. Maximum entropy production principle:
    two basic
    > questions.  Philosophical Transactions of the Royal Society, B, 365:
    > 1333-1334.
    >
    >
    > Paltridge, G., 1975.  Global dynamics and climate -- a system of
    minimum
    > entropy exchange.  Quarterly Journal of the Royal Meteorological
    Society
    > 101:475-484.
    >
    >
    >
    > Salthe, S.N., 1993.  Development And Evolution: Complexity And
    Change In
    > Biology. Cambridge, MA: MIT Press.
    >
    >
    > Salthe, S.N., 2004.  The spontaneous origin of new levels in
    dynamical
    > hierarchies.  Entropy 2004, 6[3]: 327-343.
    >
    >
    > Salthe, S.N., 2010.  Development (and evolution) of the universe.
    >  Foundations of Science.  In Press
    >
    >
    > Schneider, E.D. and Kay, J.J., 1994.  Life as a manifestation of the
    > Second
    > Law of thermodynamics.  Mathematical and Computer Modelling 19:
    25-48.
    >
    >
    > Schneider, E.D. and D. Sagan., 2005.  Into the Cool: Energy Flow,
    > Thermodynamics, and Life.  Chicago: University of Chicago Press.
    >
    >
    > Sharma, V. and A. Annila, 2007. Natural process - natural selection.
    >  Biophysical Chemistry 127: 123-128.
    >
    >
    > Swenson, R., 1989. Emergent attractors and the law of maximum
    entropy
    > production: foundations to a theory of general evolution.
    Systems Research
    > 6: 187-198.
    >
    >
    > Swenson, R., 1997. Autocatakinetics, evolution, and the law of
    maximum
    > entropy production.  Advances in Human Ecology 6: 1-47.
    >
    >
    > Ulanowicz, R.D.and B.M. Hannon, 1987. Life and the production of
    entropy.
    >  Proceedings of the Royal Society B 232: 181-192.
    >
    >
    > Vallino, J.J., 2010.  Ecosystem biogeochemistry considered as a
    > distributed
    > metabolic network ordered by maximum entropy production.
     Philosophical
    > Transactions of the Royal Society, B, 365: 1417-1427.
    >
    >
    > Virgo, N. 2010, From maximum entropy to maximum entropy
    production: a new
    > approach.  Entropy 2010, 12: 107-126.
    >
    >
    > Zupanovic, P., S. Botric, D. Juretic and D. Kuic. 2010.  Relaxation
    > processes and the maximum entropy production principle.
     Entropy, 2010.12:
    > 473-479.
    >
    >
    > Zupanovic, P., D. Kuic, Z.B. Losic, D. petrov, D. juretic and M.
    Brumen
    > 2010.  The maximum entropy production principle and linear
    irreversible
    > processes.  Entropy 2010, 12: 996-1005.
    >



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