[Fis] defining information - Goal, Methodology, Steps ...

[GUEVARA ERRA RAMON MARIANO]

Some time ago there was a discussion on disinformation age and I think the
question of Jose fits in that discussion. My own view is that too much
information leads to "disinformation". I don't know how to state it more
formally.
If you are not an expert, there is so much information on the internet that
you simply get lost (let alone the situation when information is
manipulated on purpose!). You can even see that different websites differ
on statistics about coronavirus. The impact of disinformation is so huge as
to make companies and even entire economies collapse.
This seems to be a crucial topic!

On Wed, Mar 11, 2020 at 10:48 AM jose luis perez velazquez <
jlpvjlpv at gmail.com> wrote:

>  Greetings. I sent yesterday  this message with the attachment (the paper
> Pedro asked me about) but did not go through (attachments are not welcome),
> so if someone is interested let me know and I will send it to you.
> JL
>  ----------------
>
> I attach the copy they gave me, they call it author's copy... And I was
> told it would be open access... oh well. Section 5.1 contains that
> digression on info processing applied to nervous systems.
>     As you said, the crucial matter is ' when defining it, of including
> the context in which the definition is established'. It is the same as with
> other measures, like for instance complexity which has dozens of notions
> and all are fine provided we specify what kind of complexity we
> measure from what type of variable.  And similarly for entropy and various
> other man-made metrics.
>     And by the way... You information experts may want to consider what's
> going on with this coronavirus business/madness, apparently a normal flu
> but perhaps due to "information", or mis/dis-information provided by
> administrators, politicians and media, it has become in the mind of the
> populace an abnormal flu the likes of ebola disease.
>   And on that topic, salud a todos!
>
>
> On Mon, Mar 9, 2020 at 7:38 PM Pedro C. Marijuan <
> pcmarijuan.iacs at aragon.es> wrote:
>
>> Dear Krassimir and FIS colleagues,
>>
>> Most of the recent messages look in Sync. The consensus points, under
>> different names, towards information as secondary, relative, undefinable...
>> and particularly towards the need, when defining it, of including the
>> context in which the definition is established. Personally I am more
>> interested in the concerns about empirical information matters in different
>> disciplines: we have heard snippets from computer science, maths, biology,
>> neuroscience (Jose Luis--could you please send me that very interesting
>> paper? It it is not an open access) ... My traditional position is that the
>> "informational coupling" of life forms with the abduced parts of their
>> environment (signals, communication, etc.) in the advancement of their own
>> living cycle should be considered as the proto-phenomenon of information.
>> Agents, agency, are an abstraction in other disciplines (computer science,
>> economics) derived from the former proto-phenomenon, unfortunately
>> depriving it of some of its most interesting qualities. So rich is in every
>> generative aspect: Conatus principle (Spinoza), fundamental coding (Rosen),
>> genetic algorithms (Holland), sel-constructing "machines" (von Neumann),
>> neural topodynamics (Friston)...
>>
>> The above central "informational coupling" appears as valid along the
>> complexity growth: procaryots, eukaryots, multicells, nervous systems,
>> societies... in each of these realms, and in multiple ways, we can point to
>> "info definitions" and contexts tailored to the particular phenomenology.
>> From cellular signalling systems to the bonding structures of our
>> societies, or to the adaptive role of emotions. For instance, I have
>> various research papers on the intriguing info content of laughter and its
>> enigmatic relationship to the life cycle (it is omnipresent in our lives).
>> Why?? A neural network can detect with more than 90% success from just a
>> bunch of your laughs whether you are falling in depression or not (Navarro
>> et al. 2014). Entropy of the frequencies involved is a major key.
>>
>> Developing consistent empirical research on information "caught in the
>> act" is crucial.
>>
>> Best--Pedro
>>
>>
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