Dear FIS colleagues,
We could talk on different aspects of the information notion.
My approach is only to try to relate information with cognition. How
from network of molecular dynamics, cognition and consciousness
appeared in the universe?
In other words, my interest is very limited and focused only in a
naturalistic approach to the emergence of semantics of information
(1).
In this respect, I propose that “information with meaning” is
the very nature of biological information (bio-meaning).
I claim that signs in biological systems (and in pre-biotic systems
as well) are related to matter–energy transformations as they are
incorporated into the system as ‘variations’.
In turn, these variations become biological information—always
with bio-meaning—because they impact cohesion, maintaining,
increasing or even decreasing the far from thermodynamic equilibrium
state.
From its initial emergence in the physical world, we can hypothesize
that bio-meaning has the ability of increasing its levels of
complexity and sophistication all the way up to the human world.
Meaning and biological information were connected at their very
beginning, and this bond conditioned the evolution of both notions
well into the abstract levels of human culture.
Due to this fact, it is possible the emergence of natural
computations revealed in the emergence of first small world features
in evolution (2).
Lastly, if we agree that, in the long run of an open-ended
evolution, the neurons are the cells specialized in transmitting the
signals of different matter-energy variations coming
from the environment by means of the digital action potentials
between neurons, and if we furthermore assume that these
transmissions “add” certain ways of recognizing the different
matter-energy variations, then it is possible to achieve some
clarifications about the emergence of mental properties (3).
May it be that the constraints of the acoustic information flow due
to the topological distribution of neural populations control the
ways in which the information is transmitted.
The specific distribution of neural cell types (in particular,
inhibitory neurons) producing gradients of inhibition and/or
excitatory signals are linked, we assume, to mental rules: the
grammar of the mind?
References
(1) Riofrio, W. and Aguilar, L.A. (2010a) Different Neurons
Population Distribution correlates with Topologic-Temporal Dynamic
Acoustic Information Flow. In Unifying Themes in Complex Systems (New
England Complex Systems Institute Book Series: Volume VI), edited by
A.A. Minai, D. Braha and Y. Bar-Yam. Springer, pp. 227-234. [1]
(2) Riofrio, W. (2008) Understanding the Emergence of Cellular
Organization. Biosemiotics, 1(3): 361-377.
(3) Riofrio, W. (2010b) On Biological Computing, Information and
Molecular Networks. In Thinking Machines and the Philosophy of
Computer Science: Concepts and Principles, edited by J. Vallverdú.
IGI Global, pp. 53-65.
Happy Holidays!
Sincerely,
Walter
------------------------------------------------------------
Walter Riofrio
Researcher IPCEM, University Ricardo Palma. Lima-Perú
Chercheur Associé; Complex Systems Institute-Paris (ISC-PIF)
Theoretical and Evolutionary Biology
Email: walter.riof...@iscpif.fr [2]
-----------------------------------------------------------
----- Original Message -----
From: "Pedro C. Marijuan" pcmarijuan.i...@aragon.es
To: fis@listas.unizar.es
Cc:
Sent: mié 15/12/10 10:29
Subject: Fwd: [Fis] Closing Comments?
FIS Friends,
Like in most of our excursions, in the present one we have stumbled
upon a very interesting and exciting "attractor". Rather than
throwing ourselves into a deep discussion about the modes of social
knowing and their historical interrelationship my suggestion is that
we sidestep them and make some "concluding comments" on the ongoing
discussion by coming back to the final questions of Prof. Zhong
(Yixin in our friendly environment!). I will pen them at the bottom.
Concerning the modes of knowledge discussion, next weeks I will make
a proposal in order to have it as our next discussion session
(immediately after this one, or perhaps after another session which
has been tentatively demanded about an "axiomatic approach to
information theory".)
Let me make another suggestion. In the concluding comments it would
be important trying to be as boldest as possible, as well as hearing
new voices related to neuroscience, cellular-molecular biology,
physics, and artificial intelligence. Thus I kindly demand to the
active group of philosophically oriented parties, and to everybody
else, to momentarily keep at bay the critical comments --only
positive reactions (Christmas time!). All parties who have
participated in recent discussions, and particularly the new arrivals
into the list, are cordially invited to reflect their brute insights
on intelligence and information... maybe just penning three or four
lines on a few of the questions below.
Thus, these were Yixin's questions:
• What is the correct concept of intelligence?
• What is the correct concept of information?
• What is the precise relation between intelligence and
information?
• How do you evaluate the current state of the art in the
study of intelligence science?
• How do you evaluate the current state of the art in the
study of information science?
• Do you agree with the statement that intelligence comes from
knowledge and the latter from information?
• What, do you think, is the feasible mechanism of
intelligence growth?
• Do you think it possible to have information being conversed
to knowledge and even to intelligence?
best wishes, and season greetings
---Pedro
--
-------------------------------------------------
Pedro C. Marijuán
Grupo de Bioinformación / Bioinformation Group
Instituto Aragonés de Ciencias de la Salud
Avda. Gómez Laguna, 25, Pl. 11ª
50009 Zaragoza, Spain
Telf: 34 976 71 3526 (& 6818) Fax: 34 976 71 5554
pcmarijuan.i...@aragon.es
http://sites.google.com/site/pedrocmarijuan/
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