(the list has been down during this weekend--I will re-enter the
successive msgs. --Pedro)

-------- Original Message --------
Subject:        Re: [Fis] Information is a linguistic description of structures
Date:   Fri, 25 Sep 2015 17:23:55 +0200
From:   Francesco Rizzo <[email protected]>
To:     Pedro C. Marijuan <[email protected]>
CC:     Günther Witzany <[email protected]>, <[email protected]>, fis
<[email protected]>, Emanuel Diamant <[email protected]>
References:     <[email protected]>
<[email protected]> <[email protected]>



Caro Pedro e Cari Tutti,
l'avere colto, anche per merito dello stesso Pedro, l'aspirazione a
ri-conoscere l'importanza del rapporto tra informazione e significato,
mi fa venire lo scrupolo di essere chiaro e semplice. Intanto ribadisco
che informazione, per me, significa "dare forma" a qualcuno o a
qualcosa, singolo o associato, cioè a tutti e a tutto. Il significato
dell'informazione corrisponde al valore del bene (economico) informato o
neg-entropico. Ciò che riguarda il valore di un bene può riferirsi alla
verità di ogni altra scienza che non può non essere in-centrata sulla
super legge della informazione. Anche un'equazione o funzione è
un'informazione che ha almeno un significato -- perché ne può avere più
di uno come le parole polisemiche -- matematico. Lo stesso dicasi per
una cellula che è un'informazione che ha significato bio-fisiologico.
Parimenti una simile logica semantica vale per un uomo, un gene, un
animale, una pianta, una foglia, una gemma, un cristallo, etc., in
quanto  tutti sono informazione avente un significato particolare in
ragione dei diversi fatti-specie o  singoli riferimenti. Naturalmente e
culturalmente, la complessità e la molteplicità dei problemi o dei
sistemi di cui gli esempi precedenti fanno parte richiedono strumenti di
misurazione e di descrizione più operativi che teorici o epistemologici.
Senza informazione e significato non vi è conoscenza della "conoscenza"
o conoscenza della "realtà" che non può essere solo mortale o entropica
(in senso termodinamico), ma anche vitale o neg-entropica.
Grazie e un abbraccio a Tutti.
Francesco Rizzo.

2015-09-25 13:37 GMT+02:00 Pedro C. Marijuan <[email protected]
<mailto:[email protected]>>:

   Dear FISers and all,

   I include below another response to Immanuel post (from Guenther). I
   think he has penned an excellent response--my only addition is to
   expostulate a doubt. Should our analysis of the human (or cellular!)
   communication with the environment be related to linguistic
   practices? In short, my argument is that biological self-production
   becomes "la raison d'etre" of communication, both concerning its
   evolutionary origins and the continuous opening towards the
   environment along the different stages of the individual's life
   cycle. It is cogent that the same messenger plays quite different
   roles in different specialized cells --we have to disentangle in
   each case how the impinging "info" affects the ongoing life cycle
   (the impact upon the transcriptome, proteome, metabolome, etc.)
   There is no shortcut to the endless work necessary--wet lab & in
   silico. So I think that Encode and other big projects are quite
   useful in the continuous exploration of biological complexity and
   provide us valuable conceptual stuff--but looking for hypothetical
   big formalisms (I quite agree) is out sight. Molecular recognition
   which is the at the  fundamentals of biological organization can
   only provide modest guidelines about the main informational
   architectures of life... beyond that, there is too much complexity,
   endless complexity to contemplate, particularly when we try to study
   multicellular organization. Anyhow, this topic of the essential
   informational openness of the individual's life cycle appears to me
   as the Gordian knot to be cut for the advancement of our field:
   otherwise we will never connect meaningfully with the endless info
   flows that interconnect our societies, generated from the life
   cycles of individuals and addressed to the life cycles of other
   individuals. Info sources, channels for info flows, and info
   receptors are not mere Shannonian overtones, they symbolically refer
   to the very info skeleton of our societies; or looking dynamically
   it is the engine of social history and of social complexity.

   Well, sorry that I could not express myself better.

   all the best--Pedro

   Günther Witzany wrote:
    Dear all!

    What is the opposite of a linguistic description? a non-linguistic
    description? Please tell me one possible explanation of a
    non-linguistic description. So Im not convinced of the sense of
the term "information".
    Concerning the "difference" of physical and semantic information:
    What would you prefer in the case of plant communication. Does the
    chemical Auxin represent a physical or a semantic
    information? Auxin is used in hormonal, morphogenic, and
    transmitter pathways. As an extracellular signal at the plant
    synapse, auxin serves to react to light and gravity. It
    also serves as an extracellular messenger substance to send
    electrical signals and functions as a synchronization signal for
    cell division. At the intercellular, whole plant level, it
    supports cell division in the cambium, and at the tissue level,
    it promotes the maturation of vascular tissue during embryonic
    development, organ growth as well as tropic responses and apical
    dominance. In intracellular signaling, auxin serves in
    organogenesis, cell development, and differentiation. Especially
    in the organogenesis of roots, for example, auxin enables cells to
    determine their position and their identity. These multiple
    functions of auxin demonstrate that identifying the momentary
    usage (its semantics) is extremely difficult because the context
    (investigation object of pragmatics) of use can be very
    complex and highly diverse, although the chemical property remains
    the same.
    Yes, mathematics is an artificial language. Last century the
    Pythagorean approach, mathematics represents material reality, (if
    we use mathematics we reconstruct creators thoughts) was
    reactivated: Exact science must represent observations as well as
    theories in mathematical equations. Then it would be sure to
    represent reality, because brain synapse logics then could express
    its own material reality. But this was proven as error. Prior to
    all artificial languages we learned how to interconnect linguistic
    utterances with practical behavior in socialisation; therefore the
    ultimate meta-language is everyday language with its visible
    superficial grammar and its invisible deep grammar that transports
    the intended meaning. How should computers extract deep grammar
    structures out of measurable superficial syntax structures? In the
    case of ENCODE project (to find the human genome primary data
    structures) this was the aim which got financial support of 3
    billion dollars with the result of detecting the superficial
    grammar only, nothing else.

    Best Wishes
    Guenther
    Am 24.09.2015 um 07:47 schrieb Emanuel Diamant:

    Dear FIS colleagues,

    As a newcomer to FIS, I feel myself very uncomfortable when I
    have to interrupt the ongoing discourse with something that looks
    for me quite natural but is lacking in our current public dialog.
    What I have in mind is that in every discussion or argument
    exchange, first of all, the grounding axioms and mutually agreed
    assumptions should be established and declared as the basis for
    further debating and reasoning. Maybe in our case, these things
    are implied by default, but I am not a part of the dominant
    coalition. For this reason, I would dare to formulate some
    grounding axioms that may be useful for those who are not FIS
    insiders:

    1. *Information is a linguistic description of structures
    observable in a given data set*

    2. Two types of data structures could be distinguished in a data
    set: primary and secondary data structures.

    3. Primary data structures are data clusters or clumps arranged
    or occurring due to the similarity in physical properties of
    adjacent data elements. For this reason, the primary data
    structures could be called physical data structures.

    4. Secondary data structures are specific arrangements of primary
    data structures. The grouping of primary data structures into
    secondary data structures is a prerogative of an external
    observer and it is guided by his subjective reasons, rules and
    habits. The secondary data structures exist only in the
    observer’s head, in his mind. Therefore, they could be called
    meaningful or semantic data structures.

    5. As it was said earlier, *Description of structures observable
    in a data set should be called “Information”. *In this regard,
    two types of information must be distinguished – *Physical
    Information and Semantic Information*.

    6. Both are language-based descriptions; however, physical
    information can be described with a variety of languages (recall
    that mathematics is also a language), while semantic information
    can be described only by means of natural human language.

    This is a concise set of axioms that should preface all our
    further discussions. You can accept them. You can discard them
    and replace them with better ones. But you can not proceed
    without basing your discussion on a suitable and appropriate set
    of axioms.

    That is what I have to say at this moment.

    My best regards to all of you,

    Emanuel.





   --
   -------------------------------------------------
   Pedro C. Marijuán
   Grupo de Bioinformación / Bioinformation Group
   Instituto Aragonés de Ciencias de la Salud
   Centro de Investigación Biomédica de Aragón (CIBA)
   Avda. San Juan Bosco, 13, planta X
   50009 Zaragoza, Spain
   Tfno. +34 976 71 3526 <tel:%2B34%20976%2071%203526> (& 6818)
   [email protected] <mailto:[email protected]>
   http://sites.google.com/site/pedrocmarijuan/
   -------------------------------------------------



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--
-------------------------------------------------
Pedro C. Marijuán
Grupo de Bioinformación / Bioinformation Group
Instituto Aragonés de Ciencias de la Salud
Centro de Investigación Biomédica de Aragón (CIBA)
Avda. San Juan Bosco, 13, planta X
50009 Zaragoza, Spain
Tfno. +34 976 71 3526 (& 6818)
[email protected]
http://sites.google.com/site/pedrocmarijuan/
-------------------------------------------------


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