Dear Stan, 

 

It seems to me that “senescence” applies to system components which are
continuously replaced (generationally) by the autopoietic or dissipative
system, while the system at this next-order level can be expected continue
to develop (or stagnate). 

 

For example, the clouds come and go, but the weather pattern is continued.
Of course, a systems level can itself be embedded in a next-order system and
thus be replaced, but at a much lower frequency level.

 

Thus, we have to distinguish in terms of the vertical levels of the
hierarchy. J

 

Best wishes,

Loet

 

  _____  

Loet Leydesdorff 

Professor, University of Amsterdam
Amsterdam School of Communications Research (ASCoR), 
Kloveniersburgwal 48, 1012 CX Amsterdam. 
Tel.: +31-20- 525 6598; fax: +31-842239111
 <mailto:l...@leydesdorff.net> l...@leydesdorff.net ;
<http://www.leydesdorff.net/> http://www.leydesdorff.net/ 

 

From: fis-boun...@listas.unizar.es [mailto:fis-boun...@listas.unizar.es] On
Behalf Of Stanley N Salthe
Sent: Friday, November 26, 2010 4:34 PM
To: fis@listas.unizar.es
Subject: [Fis] Fwd: Doctrine of Limitation

 

As my second posting for the week:

---------- Forwarded message ----------
From: Stanley N Salthe <ssal...@binghamton.edu>
Date: Fri, Nov 26, 2010 at 9:47 AM
Subject: Re: [Fis] Doctrine of Limitation
To: "Pedro C. Marijuan" <pcmarijuan.i...@aragon.es>


Replying to Pedro, who asked:

 

>Optimality principles can be discussed now, but limitation may be
easier. Why the cell, any cell, does not grow indefinitely its genome
(stock of knowledge) so to indefinitely increase its repertoire of
intelligent mechanisms? Why the proteins encoded in bacterial genomes,
the intracellular "intelligent" components or molecular agents, are not
far bigger and powerful? And why do they become substantially "smaller"
than their eukaryotic counterparts? Limitations of genome size, of
energetics of protein synthesis, and those due to the folding process
("problem") have to be invoked, among others.

I like to point out a limitation that faces all dissipative structures --
senescence.  Here again is the scheme:

---------------------------

IMMATURE STAGE

     Relatively high energy density (per unit mass) flow rate

     Relatively small size and/or gross mattergy throughput

     Rate of acquisition of informational constraints relatively high, along
with high growth rate

     Internal stability relatively low (it is changing fast), but dynamical
stability (persistence) is high

     Homeorhetic stability to same-scale perturbations relatively high

 MATURE STAGE (only in relatively very stable systems)

     Declining energy density flow rate is still sufficient for recovery
from perturbations

     Size and gross throughput is typical for the kind of system

     Form is definitive for the kind of system

     Internal stability adequate for system persistence

     Homeostatic stability to same-scale perturbations adequate for recovery

 SENESCENT STAGE

     Energy density flow rate gradually dropping below functional
requirements

     Gross mattergy throughput high but its increase is decelerating

     Form increasingly accumulates deforming marks as a result of
encounters, as part of individuation

     Internal stability of system becoming high to the point of
inflexibility

     Homeostatic stability to same-scale perturbations declining

 TABLE 1: Thermodynamic and informational criteria of the developmental
stages of dissipative structures. See Salthe (1989, 1993) for more details
and citations.

-----------------------

Combining this with the limitations on length of life and the Darwinian
postulate about the urgency to reproduce more rapidly than others in a
population, we can generate an argument that there would be no point to
elaboration beyond some basic minimum.  This is advanced upon the notion
that the purpose of living forms is simply to reproduce.

 

Adding to this general point, I would also cite a paper in Science (330:
920-921) 2010: "Irremedial Complexity" by Gray et al, which posits that cell
machinery -- like a Rube Goldberg machine -- is much more complicated than
it needs to be to perform its functions.

 

The more complicated a system is, the more there is that can go wrong.  This
principle adds to the senescence argument, urging that systems stay simple,
live fast, and die a multiple parent.

 

STAN

 

 

On Fri, Nov 26, 2010 at 8:05 AM, Pedro C. Marijuan
<pcmarijuan.i...@aragon.es> wrote:

Dear FISers,

Thanks to Christophe for his agents "narrative" and to Joseph for openly
"buying" populational thinking and the doctrine of limitation. As for
the narrative, I concur that the link between intelligence and info
implies the introduction of some "agent" thinking --what kind of agent
and scenario? Krassimir has attempted here some general-style option
too. Murray Gell-Mann framed an interesting general description, about
Information Gatherers and Information Utilizers or "Iguses" (in "the
Quark and the Jaguar", 1995), which was accepted by quite many
complexity scientists afterwards. The point is that knowledge gets
introduced into a workable conceptual scheme together with information
and intelligence.

Let me try a different track. Starting with an ample conception of
intelligence, for instance what Raquel and Jorge penned "the capability
to process information for the purpose of adaptation or problem solving
activities. In the case of cells, problems can be caused by the
environment, extracellular aggressions, communications, etc." But an
important aspect is missing here. If we see some biological entity
regularly entering some metabolic inputs and processing some external
signals, we do not get much attracted to ad the term intelligence
(plants, for instance). Rather intelligence implies "the ability to
manipulate the life stories (and evolution) of the living portions of
the environment and to develop efficient mechanisms (for
cooperation/defence/aggresion) conducing to survival and
multiplication."  The important difference is the introduction of the
"life cycle" concept, either as life stories or as survival and
multiplication.

Optimality principles can be discussed now, but limitation may be
easier. Why the cell, any cell, does not grow indefinitely its genome
(stock of knowledge) so to indefinitely increase its repertoire of
intelligent mechanisms? Why the proteins encoded in bacterial genomes,
the intracellular "intelligent" components or molecular agents, are not
far bigger and powerful? And why do they become substantially "smaller"
than their eukaryotic counterparts? Limitations of genome size, of
energetics of protein synthesis, and those due to the folding process
("problem") have to be invoked, among others.

I mean, one cannot make an abstract, idealized scheme of the bacteria
(A. Danchin, 2009) as a computer or a Turing Machine without taking into
account of the biolimitations at work. Something similar should be
discussed with respect animal and human intelligence, particularly in
the social setting. ---e.g., structures of political or economic
organizations; or our idealized science for instance. The evolution of
science during last centuries and the fascinating process of
disciplinary recombination cannot properly be explained without
developing a "doctrine of limitation" that helps make real sense of
those mythical terms of today: interdisciplinarity, multidisciplinary,
pluridisciplinarity, transdisciplinarity, etc. Why have we passed from
estimates of 3,000 disciplines in the 70's to close to 7,000 in our
decade? Why not just 100 bigger ones? What are the laws of scientific
recombination and how do they relate to our fundamental human
limitations? In Beijing I proposed a collective research project on this
very matter, I keep thinking it was a good idea.

all the best,

--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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