how you identify the objects and
properties BEFORE you start clustering them?
The first step is step one.
Everything starts with one. Concept, word, object, anything. So most of the real
numbers start with one.
Consciousness starts with one and
then it splits in two. inside and outside, me and the mother, me and the world,
etc. it goes up to three, the three grammar persons.
The duality of things remains
however, as we can focus to one plane, and waht is in the focus is one, and what
is outside the focus is two. So we have a quantiy of two, which corresponds to
existence and its opposite as experienced in perception (focusing and
then you have the twinned concepts,
form and content, quantity and quality. Then the others generic specific and
abstract and concrete. these are used in folding operations too.
Only then you will have objects
----- Original Message -----
Sent: Saturday, July 18, 2009 5:57
Subject: Re: [ontolog-forum] Semiotic
Rich AT EnglishLogicKernel DOT
My problem with events is the
definition of boundaries, the identification of the "pattern" of an event for
the purpose of recognition. Although I see events as a sequence of temporaly
identifieable entities and not as a chain of cause of effect, because there
are many concurrent causes leading to an event (see Petri nets), I still can
see how an event remains very vague and arbitrarily identified as changes take
place at all sorts of scale and places before they add up to a situation that
is no longer identical with the one a second ago. So this approach does not
solve the problem of showing the trajectory of learning about things,
recording it a manner that serves as a good (and standardized) interface
beween FO components.
Tiny changes make big differences in chaos theories (butterfly wings ?cause?
hurricanes). If we start with just the two items ? existence detectors
and identifiers we still have to define identity. The only place to go
with that is FCA, but that skips over the question of how you identify the
objects and properties BEFORE you start clustering them. There are
missing pieces in the math here, or at least the realities are not fully
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