Hi Fisers,
(1) I have been workign with the so-called Planckain Distribution Eqauiton
(PDE) that fits almost all long-tailed histograms generated in many fields of
natural and human sciences, including atomic physics, protein folding, cell
metabolism, decision making, glottometrics, econometrics, etc [1-3].
(2) Defining what 'information' is may be akin to defining what 'PDE' is. In
both cases, what we want to define has what may be called the type-token
duality (TTD) as indiacted in Table 1.
The type of 'information' may not be easily defined in words alone but may be
defined unambiguously only in terms of a combination of words and a digram as
shown in the first column in Table 1. Similarly, defining what PDE is may be
almost impossible using words alone but must utilize mathematical symbols, not
natural linguistic symbols (see the top of the second column)
(3) Just as there are almost infinite nubmer of the 'tokens' of the 'PDE type',
each 'token PDE' being characterized by a unique set of three numerical values
of A, B and C (see the second column of Table 1), so there may be almost
infinite number of the 'tokens' of the 'information type', each 'token
information' being characterized by a unique set of 6 parameters, A, B, C, f,
g, and h that constitute the ITR, Irreducible Triadic relation [4]. Such a
definition of 'information' may be consistent with the 'parametric definition
of information' proposed by Mark in 2010 [5].
(4) As I intend to discuss it in a more detail in a later post, it is
interesting to point out that the shape of PDE curve embodies both the Shannon
entropy (the width of the curve as a measure of disorder) and the Planckian
information (the binary logarithm of the non-symmetric portion of the curve
denoted as I_P as a measure of order) [1-4]. Furthermore, I_P quantifies the
informational aspect of what I call "gnergy" [6], the complementary union of
information (gn-) and energy (-ergy), that has been postulated to drive all
self-organizations in the Universe, from chemical reactions to the
organizations of the Cosmos, including the mental activities of Homo sapiens
[4, 7].
Table 1. The type-token duality (TTD) of concepts, including information and
parametric equations.
Information
Planckian Distribution Equation (PDE)
Type
f g
A --------> B --------> C
| ^
| |
|__________________|
h
Irreducible Triadic Relation (ITR)
=> f x g = h.
“Operation f followed by operation g leads to the same result as operation h”
y = (A/(x + B)5)/(eC/(x +B) -1)
y = frequency or probability
x = classes or bins
A, B and C = free parameters
Tokens
Semiotics:
A = object; B = sign; C = interpretant
f = sign production
g = sign interpretation
h = correspondence or information flow
Protein folding:
y = frequency
x = folding free energy
A = 1.24x109
B = 0.721
C = 38.97
Aristotle:
A = Hylomorph
B = Matter
C = Form
f = natural process
g = mental process
h = information flow
mRNA levels in yeast under stress:
y = frequency or probability
x = mRNA copy number class or bin
A = 1.11x1012
B = 13.96
C = 159.30
Spinoza:
A = Substance
B = Extension
C = Thought
f = natural process
g = mental process
h = information flow
mRNA levels in human breast tissues:
y = frequency or probability
x = mRNA copy number class or bin
A = 2.36x103
B = 0.213
C = 5.00
General relativity:
A = Matter
B = curved spacetime
C = motion
f = mass-induced curvature
g = geodesic motion
h = gravity
Protein chain length distribution:
y = frequency or probability
x = protein chain length
A = 2.04x1013
B = 5.655
C = 1.257x103
With alll the best.
Sung
Referecnes:
[1]
Ji, S. (2016). WAVE-PARTICLE DUALITY IN PHYSICS AND BIOMEDICAL
SCIENCES.<http://www.conformon.net/wp-content/uploads/2016/09/PDE_SymmetryFestival_2016.pdf>
Symmetry: Science and Culture 27 (2): 99-127 (2016). PDF at
http://www.conformon.net/wp-content/uploads/2016/09/PDE_SymmetryFestival_2016.pdf
Sungchul Ji -
conformon.net<http://www.conformon.net/wp-content/uploads/2016/09/PDE_SymmetryFestival_2016.pdf>
www.conformon.net
single-molecule enzymology, gene expression profiles, econophysics,
glottometrics, Menzerath-Altmann law, information-energy complementarity,
yin-yang ...
[2] Ji, S. (2015). Planckian distributions in molecular machines, living
cells, and brains: The wave-particle duality in biomedical
sciences.<http://www.conformon.net/wp-content/uploads/2016/09/PDE_Vienna_2015.pdf>
In: Proceedings of the International Conference on Biology and Biomedical
Engineering, Vienna, March 15-17, 2015. Pp. 115-137. PDF at
http://www.conformon.net/wp-content/uploads/2016/09/PDE_SymmetryFestival_2016.pdf
Sungchul Ji -
conformon.net<http://www.conformon.net/wp-content/uploads/2016/09/PDE_SymmetryFestival_2016.pdf>
www.conformon.net
single-molecule enzymology, gene expression profiles, econophysics,
glottometrics, Menzerath-Altmann law, information-energy complementarity,
yin-yang ...
[3]Ji, S. (2015). PLANCKIAN INFORMATION (IP): A NEW MEASURE OF ORDER IN
ATOMS, ENZYMES, CELLS, BRAINS, HUMAN SOCIETIES, AND THE COSMOS.
<http://www.conformon.net/wp-content/uploads/2016/09/PDE_Vigier9.pdf> In:
Unified Field Mechanics: Natural Science beyond the Veil of Spacetime (Amoroso,
R., Rowlands, P., and Kauffman, L. eds.), World Scientific, New Jersey, 2015,
pp. 579-589) PDF at
http://www.conformon.net/wp-content/uploads/2016/09/PDE_Vigier9.pdf
PLANCKIAN INFORMATION (IP): A NEW MEASURE OF ORDER IN
...<http://www.conformon.net/wp-content/uploads/2016/09/PDE_Vigier9.pdf>
www.conformon.net
1 PLANCKIAN INFORMATION (I P): A NEW MEASURE OF ORDER IN ATOMS, ENZYMES, CELLS,
BRAINS, HUMAN SOCIETIES, AND THE COSMOS SUNGCHUL JI Department of Pharmacology
and ...
[4] Ji, S. (2017). The Cell Language Theory: connecting Mind and Matter.
World Scientific, New Jersey. Chapter 9. In press.
[5] Burgin, M. (2010). Theory of Information: fundamentality, diversity,
and unification. World Scientific, Singapore.
[6] Ji, S. (2012).
Complementarity.<http://www.conformon.net/wp-content/uploads/2012/08/Excerpts_Chapters_2_complementarity_08192012.pdf>
In: Molecular Theory of the Living Cell: Concepts, Molecular Mechanisms, and
Biomedical Applications. Springer, New York. Section 2.3, pp. 24-50. PDF at
http://www.conformon.net/wp-content/uploads/2012/08/Excerpts_Chapters_2_complementarity_08192012.pdf
2.3 Complementarity -
conformon.net<http://www.conformon.net/wp-content/uploads/2012/08/Excerpts_Chapters_2_complementarity_08192012.pdf>
www.conformon.net
As an example of supplementarity, Einstein’s equation in special relativity, E
= mc2 (Shadowitz 1968), may be cited. Energy (A) and matter (B) may be viewed
as extreme
[7] Ji, S. (2017). Neo_Semiotics: Introducing Zeroness into the Peircean
Semiotics may Bridge the Knowable and the Unknowable. Progress in Biophysics
and Molecular Biology (accepted).
________________________________
From: Fis <fis-boun...@listas.unizar.es> on behalf of Lars-Göran Johansson
<lars-goran.johans...@filosofi.uu.se>
Sent: Monday, September 18, 2017 1:12:50 PM
To: Terrence W. DEACON
Cc: Foundations of Information Science Information Science
Subject: Re: [Fis] INFORMATION: JUST A MATTER OF MATH
18 sep. 2017 kl. 18:25 skrev Terrence W. DEACON
<dea...@berkeley.edu<mailto:dea...@berkeley.edu>>:
All of these claims and counter-claims are null hypotheses - hypothetical
axioms yet to be tested, both for logical coherence and empirical usefulness.
Place your bets. Mine are on contrary assumptions: i.e. non-Turing
computability, fundamental incompleteness, and a deep entanglement between
information (including reference and functional value) and its necessary
physical substrates. Of course for this to be science all need to eventually
yield testable hypotheses. This level of controversy over basic issues
indicates to me that the science of information is still at an early stage and
could be potentially held back by the hubris of certainty.
I fundamentally agree with Terry; the discussion is about concepts and their
use, not about real things. In order to move on to testable empirical
consequences one need to tell how to measure a proposed quantity. And if we
disagree about how to measure e.g. information, we talk about different
quantities while using the same word. The only way to establish that
information as measured in two different ways really is the same quantity is to
prove that these measurements without exception will yield the same output.
Lars-Göran
— Terry
On Mon, Sep 18, 2017 at 2:07 AM, Bruno Marchal
<marc...@ulb.ac.be<mailto:marc...@ulb.ac.be>> wrote:
Dear Jose,
On 15 Sep 2017, at 16:37, Jose Javier Blanco Rivero wrote:
Dear Arturo,
Math is indeed a language that CAN describe scientific issues, but it is not
the only one. And its ability to cuantify scientific issues do not necesarily
make it superior.
Math and natural language face the same formal and logical problems: they
cannot make staments about themselves without falling into contradictions or
paradoxes (as can be inferred from Gödel).
You seem to be too much quick on this. On the contrary, I would say, Gödel
showed that when we translate the paradoxes of self-reference in arithmetic, we
get fundamental limitation theorems, not contradictions. In fact Gödel has led,
with the work of Löb and Solovay, to a complete axiomatization of the logic of
machine self-reference (complete at the propositional level), and that logic
re-introduce the nuances discovered by Plato and exploited by the
Neopythagoreans and the Neoplatonicians theologians. Those "theologies" are
"theories of everything": they contain physics, and so are testable, and the
physics of the machine can be shown to be necessary quantum-like already.
Bruno
And your statement is certainly self-contradictory: if it is true then it is
contradicted by the form of its performance (semantics).
Best regards,
El sep 15, 2017 10:17 AM, "tozziart...@libero.it<mailto:tozziart...@libero.it>"
<tozziart...@libero.it<mailto:tozziart...@libero.it>> escribió:
Dear FISers,
I'm sorry for bothering you,
but I start not to agree from the very first principles.
The only language able to describe and quantify scientific issues is
mathematics.
Without math, you do not have observables, and information is observable.
Therefore, information IS energy or matter, and can be examined through
entropies (such as., e.g., the Bekenstein-Hawking one).
And, please, colleagues, do not start to write that information is subjective
and it depends on the observer's mind. This issue has been already tackled by
the math of physics: science already predicts that information can be
"subjective", in the MATHEMATICAL frameworks of both relativity and quantum
dynamics' Copenhagen interpretation.
Therefore, the subjectivity of information is clearly framed in a TOTALLY
physical context of matter and energy.
Sorry for my polemic ideas, but, if you continue to define information on the
basis of qualitative (and not quantitative) science, information becomes
metaphysics, or sociology, or psychology (i.e., branches with doubtful
possibility of achieving knowledge, due to their current lack of math).
Arturo Tozzi
AA Professor Physics, University North Texas
Pediatrician ASL Na2Nord, Italy
Comput Intell Lab, University Manitoba
http://arturotozzi.webnode.it/<https://na01.safelinks.protection.outlook.com/?url=http%3A%2F%2Farturotozzi.webnode.it%2F&data=02%7C01%7Csji%40pharmacy.rutgers.edu%7C9f92642099764898177208d4feb88f98%7Cb92d2b234d35447093ff69aca6632ffe%7C1%7C0%7C636413516033213339&sdata=lozl9w16WBdLv%2BpLE0PtM1NQzfKlZBuADgFAynPEGSU%3D&reserved=0>
----Messaggio originale----
Da: "Pedro C. Marijuan"
<pcmarijuan.i...@aragon.es<mailto:pcmarijuan.i...@aragon.es>>
Data: 15/09/2017 14.13
A: "fis"<fis@listas.unizar.es<mailto:fis@listas.unizar.es>>
Ogg: [Fis] PRINCIPLES OF IS
Dear FIS Colleagues,
As promised herewith the "10 principles of information science". A couple of
previous comments may be in order.
First, what is in general the role of principles in science? I was motivated by
the unfinished work of philosopher Ortega y Gasset, "The idea of principle in
Leibniz and the evolution of deductive theory" (posthumously published in
1958). Our tentative information science seems to be very different from other
sciences, rather multifarious in appearance and concepts, and cavalierly moving
from scale to scale. What could be the specific role of principles herein?
Rather than opening homogeneous realms for conceptual development, these
information principles would appear as a sort of "portals" that connect with
essential topics of other disciplines in the different organization layers, but
at the same time they should try to be consistent with each other and provide a
coherent vision of the information world.
And second, about organizing the present discussion, I bet I was too optimistic
with the commentators scheme. In any case, for having a first glance on the
whole scheme, the opinions of philosophers would be very interesting. In order
to warm up the discussion, may I ask John Collier, Joseph Brenner and Rafael
Capurro to send some initial comments / criticisms? Later on, if the
commentators idea flies, Koichiro Matsuno and Wolfgang Hofkirchner would be
very valuable voices to put a perspectival end to this info principles
discussion (both attended the Madrid bygone FIS 1994 conference)...
But this is FIS list, unpredictable in between the frozen states and the
chaotic states! So, everybody is invited to get ahead at his own, with the only
customary limitation of two messages per week.
Best wishes, have a good weekend --Pedro
10 PRINCIPLES OF INFORMATION SCIENCE
1. Information is information, neither matter nor energy.
2. Information is comprehended into structures, patterns, messages, or flows.
3. Information can be recognized, can be measured, and can be processed
(either computationally or non-computationally).
4. Information flows are essential organizers of life's self-production
processes--anticipating, shaping, and mixing up with the accompanying energy
flows.
5. Communication/information exchanges among adaptive life-cycles underlie the
complexity of biological organizations at all scales.
6. It is symbolic language what conveys the essential communication exchanges
of the human species--and constitutes the core of its "social nature."
7. Human information may be systematically converted into efficient knowledge,
by following the "knowledge instinct" and further up by applying rigorous
methodologies.
8. Human cognitive limitations on knowledge accumulation are partially overcome
via the social organization of "knowledge ecologies."
9. Knowledge circulates and recombines socially, in a continuous actualization
that involves "creative destruction" of fields and disciplines: the
intellectual Ars Magna.
10. Information science proposes a new, radical vision on the information and
knowledge flows that support individual lives, with profound consequences for
scientific-philosophical practice and for social governance.
--
-------------------------------------------------
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 0
50009 Zaragoza, Spain
Tfno. +34 976 71 3526<tel:+34%20976%2071%2035%2026> (& 6818)
pcmarijuan.i...@aragon.es<mailto:pcmarijuan.i...@aragon.es>
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-------------------------------------------------
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Professor Terrence W. Deacon
University of California, Berkeley
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