fuzzy logic takes you into qualitative areas other than true/false, it takes
you into the world of the boundary, the world of the '/' thus truths become
context sensitive to a high degree and so these systems allow for local
conditions that may not be so absolute.
Fuzzy logic is the introduction of probabilities resulting from an increase
in dynamics where we cannot identify clearly every single moment but we can
give a set of potentials for every moment based on past experiences. When
you cannot be precise you move to being precise about approximations (and
so, yes it can snow in the sahara...)
Qualitative processes include discernment and discernment is 'like'
probability estimates where finding the 'best' path becomes finding the most
likely path, the path of 'most' value.
Feedback activity helps to refine this process. Thus in 'traditional' logic
A + ~A = 0 means that taking two opposites and combining them gives you
nothing. But in fuzzy logic etc so A + ~A = 0 gives you a set of potentials,
the 0 stands for an actual but behind the 0 is a set of potentials. Nature
works using recursive dichotomisations where the elements of the original
dichotomy get pushed outwards and so validating the concept that the
position of most diversity is in the middle.
Stimulus/response behaviour is originally gene related, there is no
discernment, any degree of stimulus gets a constant response. This is VERY
A/~A. Feedback comes into it by working on the elements of the dichotomy by
applying the dichotomy to itself such that after one loop you haved FOUR
possible states of response -- PURE A, PURE ~A and two mixed states, A in a
context of ~A and ~A in a context of A. As you keep applying the recursions
so the original A and ~A get pushed aside as a whole universe of potentials
emerge from the 'middle' of the dichotomy. Thus stimulus/response becomes
stimulus/considered_response. The set of considered_responses is a det of
potentials, where an expression is based on context sensitivity.
and so each of these potentials has a a probability associated with them.
By building fuzzy logic systems you build-in context sensitivity - dangerous
at times in that a totally unexperienced or 'random' context can lead to
'irrational' behaviour as one tries to 'fit' one of the set of potentials
into this context. (bit like compensatory behaviours).
In the development of lifeforms the process of internalising the 'middle' of
a dichotomy increases chances of survival such that the new states become
HABITS and you move from Stimulus/response to stimulus/considered-response
and on to stimulus/response -- back to the beginning but with more choices.
Chris.
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