Knowing is not nescessarily the same as Knowing:  Local-to-Global Correlation Across Scales of a Bi-Rational Logical-Emotional Hierarchy and their various Assemblies
 

Ron Cottam, Willy Ranson & Roger Vounckx

Abstract

           Natural systems relativistically stabilize into less-than-formally-rational multi-scalar hierarchies. Limited cross-scalar correlation provides the local-to-global correspondence crucial to computational survival. Disparate elemental properties at one scale are slaved to an “averaged” similarity by their higher-order informationally-reduced semiotic image at another. Inorganic systems are characterized by a decrease in the richness of internally-scaled structure consequent on the generation of cross-scale correlation; organic systems are characterized by an increase. However, the apparent information loss is compensated for at each scale by the appearance of a matching “hidden-parametric” complementarily-scaled ecosystemic counterpart. The entire resulting assembly of paired images forms a unified complementary bi-rational system within which each individual image constitutes the correspondingly-scaled semiotic ecosystem of its partner. The implied rational causality is from reality towards model: the system describes the natural world as a scaled ecosystemic image, and any sense of causal intention is absent. Within this description, comprehension not only exists causally-locally and inaccessibly-globally, but ultimately as a local-to-global correlate across all scales and assemblies: knowing is not necessarily identical to knowing.

We interpret the progressive evolution of higher levels of systemic order as an exchange between clarity of operation and simplicity of description, corresponding to the conscious adoption of a single unified viewpoint, and this as the development of opposites to provide a convenient low-dimensional model of complementarity; as the replacement of a complementary directivity associated with symmetry-breaking by degenerate chance; as the specification of Darwinian evolutionary randomness to replace a massively-parametric complementary directivity less conducive to low-parametric modeling; as the development of scientific rationality and the abandonment of a more general multi-viewpoint form closer to the implied asymmetric intentionality of the big bang. The implied rational causality of intention is from model towards reality: the system creates the natural world as a matchingly-scaled ecosystemic image, in the way that consequences of the big bang created and compose the universe as we know it. Examples of this causally intentional logic abound in the higher levels of organic system richness and in the extended richness of higher level organisms.
 

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