Dear Stan, 

 

Let me perhaps add to the confusion by claiming that semiosis always
operates with information that is already selected from the uncertainty in
the environment. The latter uncertainty can be considered as the
Shannon-type information. Semiosis operates by using information as “a
difference which makes a difference” (Bateson). The second difference is
made by positioning the uncertainty within a system. This can be done at
each moment of time. 

 

When the system is also able to position this information (“a difference
which makes a difference”) over time, meaning can be generated from the
perspective of hindsight. A third difference can then be added. In
information theory these differences (in orthogonal dimensions) can nicely
be written as subscripts (i, j, k) to the probability distribution: Sigma
p(I,j,k). 

 

Self-organization assumes that the system has one more degree of freedom
which allows it to reorganize the (eigen)structures at each moment of time
with the (eigen)frequencies over time. The system (semiosis) can then
proceed from shaping along a localized trajectory to bifurcating into a
global regime.

 

Crucial is, in my opinion, to distinguish the different “differences” as
dimensionalities of the probability distributions.

 

Best wishes, 

Loet

 

From: [email protected] [mailto:[email protected]] On
Behalf Of Stanley N Salthe
Sent: Sunday, March 18, 2012 3:49 PM
To: fis
Subject: Re: [Fis] [Fwd: Re: Physics of computing]--Plamen S.

 

As my first posting for this week:

 

Bob, Loet -- I respond by clarifying that my meaning in this little equation
is that (following Sebeok) semiosis is a universal phenomenon.  The system
of interpretance in my effort here is the LOCALE.  It is such locales that
have evolved into organisms and social systems.  In organisms and other
distinct systems of interpretance, the sign is the context for
interpretation.  So, in the little equation, I am GENERALIZING semiosis into
abiotic Nature.

 

STAN

  

On Sun, Mar 18, 2012 at 2:57 AM, Loet Leydesdorff <[email protected]>
wrote:

Dear Bob, 

 

Yes, I agree: the difference that makes a difference is operationally
generated by a receiving system; information itself is nothing but a series
of differences (contained in a probability distribution). The selection
mechanisms in the receiving systems that position the incoming uncertainty
have to be specified (as hypotheses). Meaningful information emerges from
selecting the signal from the noise.

 

The meaningful information (the differences that make a difference) can
again be communicated as information (for example, in and among biological
systems). Thus, the operation is recursive and the communication /
autopoiesis continues. Meaning can only be communicated by systems which are
able to entertain a symbolic order reflexively such as human beings and in
interhuman discourses.

 

I’ll read the book by Reading.

Best,

Loet

 

  _____  

Loet Leydesdorff 

Professor, University of Amsterdam
Amsterdam School of Communications Research (ASCoR), 
Kloveniersburgwal 48, 1012 CX Amsterdam. 
Tel.: +31-20- 525 6598 <tel:%2B31-20-%20525%206598> ; fax: +31-842239111
<tel:%2B31-842239111> 
[email protected]  <mailto:[email protected]> ;
http://www.leydesdorff.net/ ;
http://scholar.google.com/citations?user=ych9gNYAAAAJ
<http://scholar.google.com/citations?user=ych9gNYAAAAJ&hl=en> &hl=en 

 

From: [email protected] [mailto:[email protected]] On
Behalf Of Bob Logan
Sent: Saturday, March 17, 2012 10:55 PM
To: Stanley N Salthe
Cc: fis
Subject: Re: [Fis] FW: [Fwd: Re: Physics of computing]--Plamen S.

 

Stan - great formula but as I learned from Anthony Reading who wrote a
lovely book on information Meaningful Information - it is the recipient that
brings the meaning to the information. 

 

PS My book What is Information was been translated into Portuguese and
published in Brazil where I am doing a 4 city, 5 university speaking tour.
The book has not yet appeared in English but it is scheduled to be published
soon by Demo press.

 

Regards from Brazil - Bob

 

 

 

On 2012-03-17, at 11:17 AM, Stanley N Salthe wrote:

 

Concerning the meaning (or effect) of information (or constraint) in
general, I have proposed that context is crucial in modulating the effect --
in all cases.  Thus: it would be like the logical example:

 

 Effect = context a   x   Constraint ^context b

 

STAN

 

 

 

On Fri, Mar 16, 2012 at 2:18 PM, Christophe Menant
<[email protected]> wrote:

Dear FISers, 
Indeed information can be considered downwards (physical & meaningless) and
upwards (biological & meaningful). The difference being about interpretation
or not. 
It also introduces an evolutionary approach to information processing and
meaning generation.
There is a chapter on that subject in a recent book
(http://www.amazon.co.uk/Information-Computation-Philosophical-Understanding
-Foundations/dp/toc/9814295477). 
“Computation on Information, Meaning and Representations.An Evolutionary
Approach”
Content of the chapter:
1. Information and Meaning. Meaning Generation
1.1. Information.Meaning of information and quantity of information
1.2. Meaningful information and constraint satisfaction. A systemic approach
2. Information, Meaning and Representations. An Evolutionary Approach 
2.1. Stay alive constraint and meaning generation for organisms
2.2. The Meaning Generator System (MGS). A systemic and evolutionary
approach
2.3. Meaning transmission
2.4. Individual and species constraints. Group life constraints. Networks of
meanings
2.5. From meaningful information to meaningful representations
3. Meaningful Information and Representations in Humans
4. Meaningful Information and Representations in Artificial Systems
4.1. Meaningful information and representations from traditional AI to
Nouvelle AI. Embodied-situated AI
4.2. Meaningful representations versus the guidance theory of representation
4.3. Meaningful information and representations versus the enactive approach
5. Conclusion and Continuation
5.1. Conclusion
5.2. Continuation
A version close to the final text can be reached at
<http://crmenant.free.fr/2009BookChapter/C.Menant.211009.pdf>
http://crmenant.free.fr/2009BookChapter/C.Menant.211009.pdf

As Plamen says, we may be at the beginning of a new scientific revolution.
But I’m afraid that an understanding of the meaning of information needs
clear enough an understanding of the constraint at the source of the meaning
generation process. And even for basic organic meanings coming from a “stay
alive” constraint, we have to face the still mysterious nature of life. And
for human meanings, the even more mysterious nature of human mind.
This is not to discourage our efforts in investigating these questions. Just
to put a stick in the ground showing where we stand. 
Best,
Christophe 

  _____  

Date: Fri, 16 Mar 2012 13:47:28 +0100
From: [email protected]
To: [email protected]
Subject: [Fis] [Fwd: Re: Physics of computing]--Plamen S.

-------- Mensaje original -------- 


Asunto: 

Re: [Fis] Physics of computing


Fecha: 

Fri, 16 Mar 2012 13:24:38 +0100


De: 

Dr. Plamen L. Simeonov  <mailto:[email protected]>
<[email protected]>


Para: 

Pedro C. Marijuan  <mailto:[email protected]>
<[email protected]>


Referencias: 

 <mailto:[email protected]>
<[email protected]>
<mailto:[email protected]> <[email protected]>




+++++++++++

Dear All,

I could not agree more with Pedro's opinion. The referred article is
interesting indeed. but, information is only physical in the narrow sense
taken by conventional physicalistic-mechanistic-computational approaches.
Such a statement defends the reductionist view at nature: sorry. But
information is more than bits and Shanno's law and biology has far more to
offer. I think we are at the beginning of a new scientific revolution. So,
we may need to take our (Maxwell) "daemons" and (Turing) "oracles" closer
under the lens. In fact, David Ball, the author of the Nature paper
approached me after my talk in Brussels in 2010 on the Integral Biomathics
approach and told me he thinks it were a step in the right direction:
biology driven mathematics and computation. 

By the way, our book of ideas on IB will be released next month by Springer:
http://www.springer.com/engineering/computational+intelligence+and+complexit
y/book/978-3-642-28110-5
If you wish to obtain it at a lower price (65 EUR incl. worldwide delivery)
please send me your names, mailing addresses and phone numbers via email to:
[email protected]. There must be at least 9 orders to keep that discount
price..

Best,

Plamen



On Fri, Mar 16, 2012 at 12:19 PM, Pedro C. Marijuan
<[email protected]> wrote:

Dear discussants,

I tend to disagree with the motto "information is physical" if taken too
strictly. Obviously if we look "downwards" it is OK, but in the "upward"
direction it is different. Info is not only physical then, and the dimension
of self-construction along the realization of life cycle has to be entered.
Then the signal, the info, has "content" and "meaning". Otherwise if we
insist only in the physical downward dimension we have just conventional
computing/ info processing. My opinion is that the notion of absence is
crucial for advancing in the upward, but useless in the downward. 
By the way, I already wrote about info and the absence theme in a 1994 or
1995 paper in BioSystems...

best

---Pedro



[email protected] escribió: 

Thanks John and Kevin to update issues in information, computation, energy
and reality.
 I would like point out to other articles more focused in how coherence and
entanglement are used by living systems (far from thermal equilibrium): 
 
Engel G.S., Calhoun T.R., Read E.L., Ahn T.K., Mancal T., Cheng Y.C.,
Blankenship R.E., Fleming G.R. (2007) Evidence for wavelike energy transfer
through quantum coherence in photosynthetic systems. Nature, 446(7137):
782-786.
 
Collini E., Scholes G. (2009) Coherent intrachain energy in migration in a
conjugated polymer at room temperature.  Science, vol. 323 No. 5912 pp.
369-373.
 
Gauger E.M., Rieper E., Morton J.J.L., Benjamin S.C., Vedral V. (2011)
Sustained Quantum Coherence and Entanglement in the Avian Compass. Phys.
Rev. Lett., 106: 040503.
 
Cia, J. et al, (2009)  Dynamic entanglement in oscillating molecules.
arXiv:0809.4906v1 [quant-ph]
 
 
Sincerely,
 
 
Walter
 
 


  _____  

 
 
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Dr. Plamen L. Simeonov
landline:   +49.30.38.10.11.25 <tel:%2B49.30.38.10.11.25> 
fax/ums:   +49.30.48.49.88.26.4 <tel:%2B49.30.48.49.88.26.4> 
mobile:     +44.12.23.96.85.69 <tel:%2B44.12.23.96.85.69> 
email:     [email protected]
URL:      www.simeio.org <http://www.simeio.org/> 
           
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______________________

 

Robert K. Logan

Chief Scientist - sLab at OCAD

Prof. Emeritus - Physics - U. of Toronto 

www.physics.utoronto.ca/Members/logan

 

 

 


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