[Fis] Newsletter and Season Greetings
karl.javorszky at gmail.com
Fri Dec 27 02:02:40 CET 2019
As to more funding being available for posing/framing information as a part
of a Shannon-related application - why not?
The math behind genetics and computers processing data is the same. Symbols
have forms and positions. Shannon uses two forms (0,1) and writes/reads the
positions sequentially. Nature makes use of a pattern of positions (4 forms
on 3 positions), embedded in a sequence of maximal length of 128 segments.
Nature uses the intertwining of two functions which describe the upper
limit each of the capacity to transmit messages by means of symbols on
objects. One of the functions is used by Shannon and is excellent and
fine. This describes the throughput capacity of n objects when written/read
sequentially. Applications of this principle are indeed more advantageous
than the alternative, up until one does not use for transmission of
messages collections of objects that number more than 32. Then, the
alternative way of transmitting messages by symbols on objects gets more
advantageous. It is more efficient to place different symbols on objects
and write/read them while regarding the whole lot as a structure, if the
lot consists of 66 +/- 30 objects. One can play funny tricks with such a
minor inexactitude between two functions. Nature does so. Please look up
Learning is built on memory. Memory is the field of writing/reading.
Intelligence comes with the comparison of ex_memory with ex_perception on
similarity. To discover similarity, things must be able to be different.
The not similar is then not the case. So 1. we can't discuss it, hence the
difficulties with the term information, 2. we need to foresee an
alternative to our current, linear, understanding of what is the case. In
our current system of truths, alternatives are not contained: there is but
one truth. We now unveil further details of logical objects: in dependence
of their form, their position is a corollary in a particular order. The
non-existence of that order or the existence of a different order creates a
class of form-position links which is not the case. Yet we can deal with
it, because it can (again) be the case. This mental construct can be called
both potential and information. Their collection can serve as a built in
collection of alternatives.
It doesn't take long to find the space building patterns. There, the
discussion diverges. Structures can or can not be linearised, sequences can
or can not delineate structures. The translations, actually restrictions,
Nature uses in genetics can also be utilized in artificial intelligence. In
both approaches, ideal circumstances are assumed. That Nature uses
exclusion rather than pointing out, underlines that information gathering
is a process of eliminating false assumptions. Focusing means leaving aside
No problem framing the system of two different versions of logical
deductions of truths creating lots of interference in such a way which
raises the appetite of people in artificial intelligence.
Karl Javorszky <karl.javorszky en gmail.com> schrieb am Do., 26. Dez. 2019,
> Information does not exist on its own. It is the background, to which that
> what exists, relates. It is a shadow, characterized by the form and
> position of that object which we discuss.
> Information is the description of that what is not the case. Information
> is the collection of the remaining alternatives.
> Stanley N Salthe <ssalthe en binghamton.edu> schrieb am Do., 26. Dez. 2019,
>> FIS'ers -- The domain of information is like that of spilled milk (or
>> wine) on an empty table.
>> On Thu, Dec 26, 2019 at 6:17 AM Michel Petitjean <
>> petitjean.chiral en gmail.com> wrote:
>>> Dear Xueshan, dear All, dear FISers,
>>> This is a really important question: what are the relations between
>>> information science and computer science?
>>> At least the word "information" is common two both fields.
>>> Also, in my opinion, Shannon information should be considered to be
>>> part of both fields.
>>> However, more funding seems available via computer science.
>>> Merry Christmas and Happy New Year!
>>> Michel Petitjean
>>> Université de Paris, BFA, CNRS UMR 8251, INSERM ERL U1133, F-75013
>>> Paris, France
>>> Phone: +331 5727 8434; Fax: +331 5727 8372
>>> E-mail: petitjean.chiral en gmail.com (preferred),
>>> michel.petitjean en univ-paris-diderot.fr
>>> Le jeu. 26 déc. 2019 à 02:31, Xueshan Yan <yxs en pku.edu.cn> a écrit :
>>> > Dear Marcin,
>>> > I agree with your fundraising is an urgent issue in IS4SI, but I only
>>> give a few lines on your point 5. You have touched the tenderest area
>>> around us: Is computer science an information science? If is, what is the
>>> relationship between it and the information science that we are pursuing
>>> here? If not, why?
>>> > Higher education of information in Japan has some good cases for us.
>>> Tohoku University, Tokyo University, etc. have treated technical
>>> information and human information separately successfully. In a sense, they
>>> are ahead of us.
>>> > Another question pressing us enough headache is: Is genetics an
>>> information science? Same: Is neuroscience an information science? The
>>> fundamental concept in both of these two disciplines is Information.
>>> Another subject in which information becomes more and more basic in biology
>>> is endocrinology.
>>> > Understanding of information science as a much broader domain of study
>>> just is the pursuit of IS4SI, we only have the form but without the content
>>> of it now, what could we propagate to related colleagues? So, not only a
>>> big task is it, but a despairing task is it too. Beyond computer science,
>>> biology, physics, and chemistry, etc. are the basic characteristics of FIS,
>>> but this burden has been more and more beyond our ability and is becoming
>>> its characteristics.
>>> > Merry Christmas & Happy New Year to all colleagues!
>>> > Xueshan
>>> Fis mailing list
>>> Fis en listas.unizar.es
>>> INFORMACIN SOBRE PROTECCIN DE DATOS DE CARCTER PERSONAL
>>> Ud. recibe este correo por pertenecer a una lista de correo gestionada
>>> por la Universidad de Zaragoza.
>>> Puede encontrar toda la informacin sobre como tratamos sus datos en el
>>> siguiente enlace:
>>> Recuerde que si est suscrito a una lista voluntaria Ud. puede darse de
>>> baja desde la propia aplicacin en el momento en que lo desee.
>> Fis mailing list
>> Fis en listas.unizar.es
>> INFORMACIÓN SOBRE PROTECCIÓN DE DATOS DE CARÁCTER PERSONAL
>> Ud. recibe este correo por pertenecer a una lista de correo gestionada
>> por la Universidad de Zaragoza.
>> Puede encontrar toda la información sobre como tratamos sus datos en el
>> siguiente enlace:
>> Recuerde que si está suscrito a una lista voluntaria Ud. puede darse de
>> baja desde la propia aplicación en el momento en que lo desee.
------------ pr�xima parte ------------
Se ha borrado un adjunto en formato HTML...
More information about the Fis