Re: [Fis] The Information Flow

2012-10-16 Thread John Collier


Good point, Stan. I think that it can be used to create a notion of
'knowing that', but it will require at least another level. I review some
ways to do this in

Explaining Biological Functionality: Is Control Theory Enough? South
African Journal of Philosophy. 2011, 30(4): 53-62. The main references
are more directly related to 'knowing that', but I would see 'knowing
that' as fulfilling a particular functional role,. and requiring
something like explicit representations, both of which I deal with in the
paper. I can see that there is a further paper to be written that takes
the step to the specific case of 'knowing that'.
Cheers,
John
At 03:38 PM 2012/10/15, Stanley N Salthe wrote:
On that curious definition
of knowledge, it looks like 'knowing how' rather than 'knowing
that'. 
STAN 
On Mon, Oct 15, 2012 at 11:56 AM, Pedro C. Marijuan

pcmarijuan.i...@aragon.es wrote:


Dear FIS Colleagues,

Thanks to Zhao Chuan for the Computer Poem/Song. It is a soft way
to

retake our discussions. These weeks there have been a couple of

important achievements in the bio-information field. On the one
side,

the first 'complete' model of a prokaryotic cell (A
Whole-Cell

Computational Model Predicts Phenotype from Genotype, by Karr
et al.,

Cell, 150, 389-401, 2012). On the other, there was the report of
another

'complete' scheme, that of the C. elegans nervous system, now at
the

level of individual synaptic contacts, which was able to explain
the

mating behavior of the worm (The Connectome of a
Decision-Making Neural

Network, by Jarrell et al., Science, 337, 437-444, 2012). It
contained

several references to the information flow through
interneurons and

sensorimotor circuits, and a very curious definition of knowledge
(as

the set of activity weights in an adjacency matrix of a neural
network,

upon which the network's input-output function in part
depends...).

Both papers are very interesting, relatively consistent with each
other,

and I think both represent symbolic milestones in the
bio-information

field. The point on information flows left me thinking on the
larger

perspective beyond single information items that we rarely focus
on.

Actually the first Shannonian information metaphor was about
sources

and channels --wasn't it? Particularly thinking on social
information

matters, how many aspects of contemporary life relate to the
maintenance

of the information flows intertwining and directing the economic
flows.

No doubt that the forces of communication have definitely
won the

upper hand upon the forces of production .

Somehow, Zhao Chuan's poem is but a celebration of the central role
that

computers have come to play in the gigantic information flows of our
time.

best wishes

--Pedro

--

-

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)


pcmarijuan.i...@aragon.es



http://sites.google.com/site/pedrocmarijuan/

-

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Professor John
Collier
colli...@ukzn.ac.za
Philosophy and Ethics, University of KwaZulu-Natal, Durban 4041 South
Africa
T: +27 (31) 260 3248 / 260 2292 F:
+27 (31) 260 3031
http
://web.ncf.ca/collier



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Re: [Fis] The Information Flow

2012-10-16 Thread Bill Seaman

How about Knowing Through…

How can we embody a neural network/learning system through multi-modal sensing?
b



Bill Seaman
Professor, Department of Art, Art History  Visual Studies
DUKE UNIVERSITY 
114 b East Duke Building
Box 90764   
Durham, NC 27708, USA   
+1-919-684-2499 
http://billseaman.com/
http://fds.duke.edu/db/aas/AAH/faculty/william.seaman
http://www.dibs.duke.edu/research/profiles/98-william-seaman




On Oct 15, 2012, at 2:38 PM, Stanley N Salthe ssal...@binghamton.edu wrote:

 On that curious definition of knowledge, it looks like 'knowing how' rather 
 than 'knowing that'.
 
 STAN 
 
 On Mon, Oct 15, 2012 at 11:56 AM, Pedro C. Marijuan 
 pcmarijuan.i...@aragon.es wrote:
 Dear FIS Colleagues,
 
 Thanks to Zhao Chuan for the Computer Poem/Song. It is a soft way to
 retake our discussions. These weeks there have been a couple of
 important achievements in the bio-information field. On the one side,
 the first 'complete' model of a prokaryotic cell (A Whole-Cell
 Computational Model Predicts Phenotype from Genotype, by Karr et al.,
 Cell, 150, 389-401, 2012). On the other, there was the report of another
 'complete' scheme, that of the C. elegans nervous system, now at the
 level of individual synaptic contacts, which was able to explain the
 mating behavior of the worm (The Connectome of a Decision-Making Neural
 Network, by Jarrell et al., Science, 337, 437-444, 2012). It contained
 several references to the information flow through interneurons and
 sensorimotor circuits, and a very curious definition of knowledge (as
 the set of activity weights in an adjacency matrix of a neural network,
 upon which the network's input-output function in part depends...).
 
 Both papers are very interesting, relatively consistent with each other,
 and I think both represent symbolic milestones in the bio-information
 field. The point on information flows left me thinking on the larger
 perspective beyond single information items that we rarely focus on.
 Actually the first Shannonian information metaphor was about sources
 and channels --wasn't it? Particularly thinking on social information
 matters, how many aspects of contemporary life relate to the maintenance
 of the information flows intertwining and directing the economic flows.
 No doubt that the forces of communication have definitely won the
 upper hand upon the forces of production .
 
 Somehow, Zhao Chuan's poem is but a celebration of the central role that
 computers have come to play in the gigantic information flows of our time.
 
 best wishes
 
 --Pedro
 
 --
 -
 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)
 pcmarijuan.i...@aragon.es
 http://sites.google.com/site/pedrocmarijuan/
 -
 
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Re: [Fis] The Information Flow (From Bob Ulanowicz)

2012-10-16 Thread Pedro C. Marijuan
(From Bob Ulanowicz)

*

Dear Pedro,

I am not familiar with either model. I am made uneasy, however, by the
deterministic nature of the model descriptions.

My concern is that networks in general are metaphors for the
amalgamation of constraint and indeterminacy. There are, of course,
degenerate forms of networks that are deterministic, or almost so.
Ontogeny in general is almost deterministic and that would be
reflected in their corresponding network descriptors. My worry is
that by focusing upon these degenerate cases we lose sight of the fact
that in living systems considered more broadly (e.g., ecological,
social and economic systems), the indeterminate plays a larger and
*obligatory* role in the persistence of the system.

The best,
Bob



- End forwarded message -


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Re: [Fis] fis Digest, Vol 564, Issue 3

2012-10-16 Thread Steven Ericsson-Zenith

For a Whole-Cell Computational Model this paper, an interesting pulling 
together of the pieces as it is, says precious little about the membrane 
behavior and dynamic structure of the cell - something that I expect from a 
paper that claims to be a whole-cell model. The title of the paper appears to 
be missing the word Toward …

Steven

--
  Dr Steven Ericsson-Zenith
  Institute for Advanced Science  Engineering
  http://iase.info



On Oct 16, 2012, at 1:19 PM, Kevin Clark kbclark...@yahoo.com wrote:

 A Whole-Cell 
 Computational Model Predicts Phenotype from Genotype


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