Re: [Ag Meinungsfindungstool] Pirate Party Germany - "Opinion Forming Tool" (Working Group) - Next Meeting

[bIV <bIV AT news.piratenpartei.de>]

Alexander Praetorius schrieb:
> bIV schrieb:
> > 1) combine Alex with Marc: Values (data) are everything measurable, so 
> > mathematically describable as elements of sets
> >
> > 2) Information = values (data) related to each other by repeatable, 
> > coherent processes of changes of values (physical action). The 
> > measurability allows the storing and mapping of the values, the 
> > repeatability the reproducing of the processes by the sequence and 
> > relations of the values, so creating ordered structures (context)
> > ( s. 
> > http://de.wikipedia.org/wiki/__Information#Information_als___Ver.C3.A4nderung 
> > http://de.wikipedia.org/wiki/Information#Information_als_Ver.C3.A4nderung 
> > )
> >
> > 3) “Knowledge” is the whole existing mapping of an intelligence with 
> > "intelligence" as the ability to assimilate and process information via 
> > mapping. This works because information is repeatable action, so marked 
> > by states and the succession of states. Even though the dynamics of 
> > information cannot be stored (because changeability is the opposite of 
> > stability and storability), the different “degrees” of the dynamics 
> > can be learnt by the repetition of the states
> >
> > why knowledge is so important? Because the mapped information offers 
> > predictability for if you know a process is repeatable and you are able 
> > to determine the beginning, you can foresee its end. Decisions wouldn't 
> > make sense without a prognosis how things will proceed
>
> Could you give one or several examples that encompass 1 - 3 ?
> Because I'm having a hard time to deduct meaning from theoretical 
> statements.
> I'm much better when examples induct theory into my head :-) ..that means 
> I prefer generalisation from samples and only then I'm able to generate 
> examples from schema.
> So what you say sounds interesting, but without examples it's pretty hard 
> to get my head around it.

my favorite example (for predictability) is the waiting bear in front of a 
quiet river. Nothing there to see or to hear, but he waits - he waits for 
the salmons. Without the repeatability of their behavior it wouldn't make 
sense to sit before an empty river, but in his knowledge the bear has the 
annual return of the salmons, so he knows they will come - so he waits

another example (for reproducing) depends on the fact, that each physical 
action we study is repeatable and coherent, e.g. flowing water and its 
power to polish stones to pebble. So if there is water for a long time 
flowing over stones, there will be pebbles - and vice versa, if you find 
pebbles, the hypothesis is plausible to think of flowing waters: 
http://www.spiegel.de/wissenschaft/weltall/mars-sonde-curiosity-schickt-bilder-von-flusskieseln-zur-erde-a-858435.html

if the next thing is really an example, i don't know, but with repeatable 
actions as changes of values = elements of sets you can declare a 
length/distance and you can even declare sets for experiments (s. 7 Step 
Evaluation http://www.infomath.bussole.de/Texte/Xpublic0_2012.pdf )