Excuse me, the order is:) 
        References 
        (1)  Riofrio, W. (2008) Understanding the Emergence of Cellular
Organization. Biosemiotics, 1(3): 361-377. 
        (2) Riofrio, W. (2010a) 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. 
        (3) Riofrio, W. and Aguilar, L.A. (2010b) 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]  
        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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