Dear colleagues,

Let me reply in chronological order:

Stan:
“It seems to me that this implies, in any non-mechanistic system, semiosis -- 
that is to say, a process of interpretation by the agent.  Thus, intelligence 
would be related to the viewpoint of the agent, which would be located by its 
needs.  Semioticians, however, have not been much engaged by this concept.”

Emmeche http://www.nbi.dk/~emmeche for example addresses the connection between 
genes, information and semiosis, see among others: El-Hani, C.N.; Queiroz, J.; 
Emmeche, C. Genes, Information, and Semiosis. In Tartu Semiotics Library 8; 
Tartu University Press: Tartu, Finland, 2009.


Joseph:
“There is nothing I radically object to in the above formulations, but they 
leave me dissatisfied from the following perspective: in the first by Gordana, 
intelligence is reified into some sort of output (to be expected from a 
computational approach) and the dynamic process or capacity aspects less 
visible.”

I agree that the dynamics should not and cannot be cut off if one is to have 
adequate model of a living organism.
In the info-computational approach, information and computation are two 
complementary phenomena (and concepts) that cannot be decoupled. Georg Kampis 
http://hps.elte.hu/~gk/Books/index.html in his book “Self-Modifying Systems in 
Biology and Cognitive Science, Volume 6: A New Framework for Dynamics, 
Information and Complexity” describes this interplay between the physical 
structure and its acting as a “program” for the behavior (in the sense of 
natural computation).

Walter:
“One interesting question is: Can intelligence exist without consciousness? If 
so, with which cognitive processes, it could be more feasibly related or 
derived?”

Exactly. Probably classification i.e. making a difference – that is the most 
elementary step. (Bateson)

In parallel we can ask (to relate to the Yixin’s original question about 
information-knowledge-intelligence): can knowledge exist without consciousness? 
There are ideas of “unconscious” and sub-conscious” knowledge even in organisms 
that possess consciousness. (There are experiments where patients with some 
specific brain damages behave as if they knew something, even though if asked 
they would say that they do not know.)

As information processing in the brain has several levels and some of those are 
sub-symbolic and not directly accessible by consciousness, can we talk about 
“knowledge” in a broader sense that does not presuppose consciousness? That 
would go together with the broad idea of intelligence that does not presuppose 
consciousness.

With best wishes,
Gordana

http://www.mrtc.mdh.se/~gdc


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



From: fis-boun...@listas.unizar.es [mailto:fis-boun...@listas.unizar.es] On 
Behalf Of walter.riof...@terra.com.pe
Sent: den 15 november 2010 00:57
To: fis@listas.unizar.es
Subject: Re: [Fis] Fw: INTELLIGENCE & INFORMATION (by Y.X.Zhong)


Dear Gordana, Stan, Joseph and All,
According with the creator of MI Theory (Gardner 1983) the intelligence is a 
biological and psychological potential to solve problems and/or create products 
that are valued in one or more cultural contexts.
Gardner discovered seven relatively autonomous capacities that he named the 
“multiple intelligences”: linguistic, logical-mathematical, musical, spatial, 
bodily-kinesthetic, interpersonal and intrapersonal (and afterwards, he 
introduced naturalist and existential intelligence).
Possibly, there could be other autonomous capacities as emotional intelligence, 
spiritual intelligence, sexual intelligence and also digital intelligence.
One interesting question is: Can intelligence exist without consciousness? If 
so, with which cognitive processes, it could be more feasibly related or 
derived?
“…we can conclude that intelligence is related with (1) efficiency of basic 
cognitive processes (speed of perception and focused brain activity) and (2) 
metacognitive control and flexibility of cognitive processes (attention, 
cognitive control, strategy flexibility)…” (Pretz JE, Sternberg RJ (2004) 
Unifying the Field: Cognition and Intelligence. In Cognition and Intelligence: 
Identifying the Mechanisms of the Mind, Edited by JE Pretz, RJ Sternberg.  
Cambridge University Press, p. 314).
It seems that intelligence needs the reference to some forms of cognition: What 
is the most basic cognitive process that emerged in evolution?  We could say 
that some of the most "primary mental abilities" are:  Perceptual speed, 
spatial visualization, Classification- Categorization, memory.
So, in the quest to establish a relation between Information and Intelligence, 
it is important to take into account the cognitive phenomena.
Reality is structured in levels. Not all the phenomena are in the lower levels 
but they are causes for the emergence of high level properties, structures, 
processes and the like.
An important study is to try to figure out from where and how the most basic 
and primary cognitive processes arise.
The emergence of cognitive phenomena needs a network of specialized cells or is 
that each dynamical entity is “cognitive” in itself?

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



On dom 14/11/10 05:07 , "Joseph Brenner" joe.bren...@bluewin.ch sent:
Dear Gordana, Stan and All,

Gordana wrote:
>From an info-computational approach we may hope to provide a base for the 
>construction of >generative explanatory models for the development of 
>intelligence by information processing in >living organisms.

Stan wrote:
>Intelligence, I think, lies more in reinterpretation than in the building more 
>that may follow >upon it.

There is nothing I radically object to in the above formulations, but they 
leave me dissatisfied from the following perspective: in the first by Gordana, 
intelligence is reified into some sort of output (to be expected from a 
computational approach) and the dynamic process or capacity aspects less 
visible. This is a general problem of mathematically tractable generative 
models, but that is for me not a virtue. Stan's is more congenial, as 
"reinterpretation", seen as a real cogntive and not only epistemological 
process, corresponds better to what I see "going on" in the operation of 
intelligence, in "intelligizing". The difficulty here, and this is my question 
to the group rather than an answer, is in the example used to illustrate 
"reinterpretation". It seems to me to have been chosen from just about the 
lowest level of complexity at which we find information. At the highest 
cognitive levels, pushing things to the limit, we might find the relation 
between intelligence and information becoming as important as the limiting 
terms themselves.

Best wishes,

Joseph


----- Original Message -----
From: Stanley N Salthe
To: fis@listas.unizar.es
Sent: Sunday, November 14, 2010 5:27 AM
Subject: Re: [Fis] INTELLIGENCE & INFORMATION (by Y.X.Zhong)

Gordana --

Interpretation of information builds more information, which again becomes 
interpreted.  In living systems each generation makes a new interpretation 
based upon changed conditions of life. But in this case there is not more 
(genetic) information, but rather recently altered information -- history 
rewritten according to the latest interpretation of recent conditions.  Some 
might call this process 'intelligence'. This is the (neo)Darwinian 
interpretation.  It does not address your point about "increasingly complex 
patterns of information", which is indeed what appears in the fossil record (as 
well as in human discourse).  To build more requires preservation and 
interpretation. In the physical world, this image is captured in the asteroid 
impacts on the moon, with subsequent hits deforming, but not erasing, the 
original one.  Information here increases, but not, I think, intelligence.  
Intelligence, I think, lies more in reinterpretation than in the building more 
that may follow upon it.

STAN
(Pedro -- this is a new week, so this is my first)
On Sat, Nov 13, 2010 at 5:28 PM, Gordana Dodig-Crnkovic 
<gordana.dodig-crnko...@mdh.se> wrote:
I suppose semioticians are interested in an individual human’s sense-making in 
a context of human society.
Or perhaps a social animal’s sense making.
What I think about is how life forms organize to produce increasingly complex 
patterns of information processing.
Gordana


From: fis-boun...@listas.unizar.es [mailto:fis-boun...@listas.unizar.es] On 
Behalf Of Stanley N Salthe
Sent: den 13 november 2010 23:03

To: fis@listas.unizar.es
Subject: Re: [Fis] INTELLIGENCE & INFORMATION (by Y.X.Zhong)

Concerning:

>The minimal claim would be that there is no intelligence without information. 
>For an agent, intelligence is the ability to face the >world in a meaningful 
>way and it increases with the number of different ways an agent is able to 
>respond with.

  It seems to me that this implies, in any non-mechanistic system, semiosis -- 
that is to say, a process of interpretation by the agent.  Thus, intelligence 
would be related to the viewpoint of the agent, which would be located by its 
needs.  Semioticians, however, have not been much engaged by this concept.  
Hoffmeyer claims that it is especially a social skill.

STAN



On Sat, Nov 13, 2010 at 4:18 PM, Gordana Dodig-Crnkovic 
<gordana.dodig-crnko...@mdh.se> wrote:
Dear Colleagues,

Relating information with intelligence seems to me important for several 
reasons. I will try to suggest that intelligence might be a good conceptual 
tool if we want to anchor our understanding of information and knowledge in the 
natural world.
Yixin mentions the problem of three approaches to AI which exist independently, 
based on the methodological doctrine of "divide and conquer". We agree that 
"divide and conquer" is just not enough, it is the movement in one direction, 
and what is needed is the full cycle -bottom up and top down - if we are to 
understand biological systems.

The appropriate model should be generative - it should be able to produce the 
observed behaviors, such as done by Agent Based Models (ABM) which includes 
individual agents and their interactions, where the resulting global behavior 
in its turn affects agents' individual behavior. Unlike static objects that 
result from a "divide and conquer" approach, agents in ABM are dynamic. They 
allow for the influence from bottom up and back circularly. Central for living 
organisms is the dynamics of the relationships between the parts and the whole.

Shannon's theory of communication is very successful in modeling communication 
between systems, but it is a theory that presupposes that communication exists 
and that mechanisms of communication are known. On the other hand if we want to 
answer the question why those systems communicate at all and what made them 
develop different mechanisms of communication we have to go to a more 
fundamental level of description where we find information processes and 
structures in biological systems. Natural computation such as described by 
Rozenberg and Kari in "The many facets of natural computing" 
http://www.csd.uwo.ca/~lila/Natural-Computing-Review.pdf includes information 
processing in living organisms.

Generative models of intelligence may be based on info-computational approach 
to the evolution of living systems. Three basic steps in this construction are 
as follows:
. The world on its basic level is potential information.
(I agree with Guy on his information realism)
. Dynamics of the world is computation which in general is information 
processing (natural computationalism or pancomputationalism)
. Intelligence is a potential for (meaningful) action in the world. (I agree 
with Josph)

The minimal claim would be that there is no intelligence without information. 
For an agent, intelligence is the ability to face the world in a meaningful way 
and it increases with the number of different ways an agent is able to respond 
with. (This is a statistical argument: in a dynamical world, ability of an 
agent to respond to a change in several different ways increases its chances 
for survival.)
Back to the question of Raquel: can a simple organism be ascribed intelligence? 
- which Pedro suggests to answer in the positive by broadening the concept of 
intelligence. I agree with this proposed generalization for several reasons.

Maturana and Varela conflate life itself with cognition (to be alive is to 
cognize). Similarly, we can connect the development of life (towards more and 
more complex organisms) with intelligence (if an organism acts meaningfully in 
the world, we say it acts intelligently; meaningfulness has degrees and so has 
intelligence). In that approach intelligence would be the property of an 
organism which gives it a potential to develop increasingly more complex 
informational structures and increasingly more complex (meaningful) responses 
to the environment. One can argue that increasing the repertoire of meaningful 
responses (interactions with the world) increases agents potential for survival 
and success.

As a consequence this approach makes way for a basic quantitative measure of 
intelligence as a level of complexity of an organism providing the diversity of 
its responses.( Of course this measure of intelligence is not in the sense of 
IQ or specific individual's "smartness" but of the species increasing 
capability to flourish.)

This view also agrees with the understanding that even in humans there are 
several different intelligences - linguistic, logical, kinesthetic, naturalist, 
emotional, interpersonal, intrapersonal, spatial, musical, etc. If the 
complexity of the information processing structures and diversity of 
interactions with the environment are the measure, then plants and by the same 
token even single cells may qualify as intelligent in the sense of naturalist 
and kinesthetic intelligence.

In sum, there are different ways to define intelligence and information 
dependent on what we want them to do for us. Concepts are tools used by 
theories. Theories are tools used by people. Many different concepts address 
different aspects of the world and seem to fill their purpose.
From an info-computational approach we may hope to provide a base for the 
construction of generative explanatory models for the development of 
intelligence by information processing in living organisms.

With best regards,
Gordana
http://www.mrtc.mdh.se/~gdc


PS
More on Info-Computationalism
http://www.mrtc.mdh.se/~gdc/work/publications.html





-----Original Message-----
From: fis-boun...@listas.unizar.es [mailto:fis-boun...@listas.unizar.es] On 
Behalf Of Pedro C. Marijuan
Sent: den 12 november 2010 13:19
To: fis@listas.unizar.es
Subject: Re: [Fis] INTELLIGENCE & INFORMATION (by Y.X.Zhong)

Dear FIS colleagues,

It is quite nice reading along the messages of this new discussion
session. In particular, Krassimir's posting is very interesting for me
in two senses. It represents an important research community of
information scientists/engineering practitioners (strong in Easter
Europe and other areas) that was not engaged in our list discussions
yet, specially thinking in the common project envisioned with other
parties about the International Society for Information Studies. Well,
the general content of the message (now I cannot go to the many
interesting details deserving specific comment) has strongly reminded me
about the theoretical evolution happened in another field: string
theory. About how a multiplicity of approaches from rather different
angles has recently coalesced into what is known as
"M-Theory"---included in the comparison is that M theory predicts the
possibility of 10 exp 500 different universes... In our common quest for
foundations of information science, How should we cope with so many
attempts to develop general information theories? Even more, How should
we cope with the different "implicit" conceptions of information, well
established and logically sound within almost each disciplinary body? In
what extent looks viable a possible "Info M-Theory"? Would it open an
explosion of 10 exp (?) possible configurations of info realms?

My impression is that the conflation of information with the
intelligence discussion (while the former can be abstracted almost to
completion, the latter has to be "situated", "embodied", and in general
related to self-construction processes) provides ground for better
formulations of the above rough questions, and maybe a radical new response.

best regards

---Pedro


Krassimir Markov escribió:
> Dear Yi-Xin, Pedro and FIS Coleagues,
>
> Thank you for kind invitation. I am very glad to take part in FIS.
>
> During the years I have seen a stable interest to the basic problems of
> informatics. This was the reason to unite more than 2000 scientists all
> over the world in the ITHEA® International Scientific Society (ITHEA® ISS)
> and for the last ten years to organize more than 60 conferences, to
> publish two Int. Journals and more than 30 books. The Institute of
> Information Theories and Applications FOI ITHEA® was established as
> independent nongovernmental organization to support the collaboration
> between members of ITHEA® ISS. (pls. see www.ithea.org ). Let finish this
> introductory part with little information about me. My name is Krassimir
> Markov. I am mathematician with specialization in computer science and I
> have worked in the Institute of Mathematics and Informatics at the
> Bulgarian Academy of Sciences since 1975.
>
> I think, firstly we need to answer to the second question - What is the
> correct concept of information? --Without proper understanding of
> information, the definition of concept "intelligence" as well as all the
> answers of the rest questions will be intuitive and not clear.
>
> There exist several common theoretical information paradigms in the
> Information Science. May be, the most popular is the approach based on the
> generalization of the Shannon's Information Theory [Shannon, 1949], [Lu,
> 1999]. Another approach is the attempt to synthesize the existing
> mathematical theories in a common structure, which is applicable for
> explanation of the information phenomena [Cooman et al, 1995].
>
> ....
>
> At the end, there exist some works that claim for theoretical generality
> and aspire to be a new approach in the Information Science, but theirs
> authors should clear up what they really talk about [Burgin, 1997].
>
>
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