I know this might be dense, and obscure - but hopefully you can help me think through this:

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- Soren Brier, Cybersemiotics: Why Information Is not Enough

In Pierces semiotic Triad, the symbol is Primary - the representaion of an object. As one assumes this primacy, the open ontological chaotic "system" becomes a closed system upon evaluative parameters. Within this closed system, a triad can be developed between the representation, what it represents, and the interpretation. Although, the object it represents is in many ways outside of the triad. I think the object must take on a purely denotative ("topographical") role, and not an ontological role. So, most of the object becomes lost in the system. Also, at another corner, the interpreter takes on another role where certain aspects of it become lost in the evaluative importance of the symbol. The symbol becomes full, where the others become partial. The system already has within it possibilities of other systems, as well as the possibility of merging these systems through cybersemiotics.

The interesting thing about systems, I've found, is that they are analagous to different types of lenses - The lense of our eye to the "lense" of an electron microscope. As with our eyes, when we focus on a single point in space, the point is of primacy as everything else becomes peripheral. Focul Points and periphery seem to be the general problem of all human enterprises. The steroscopic vision is unnatainable. It can only be attained through transrational means, where the focul points merge with the periphery in equilibrium. The only way to eliminate evaluations, isolated systems, high and low probability, plausibility and implausibility is to eliminate the current paradigm of rationality and go beyond it, but not without it. That is, if you're not shooting at pragmatic targets, but at a chaotic ontological "totality".

Though, ontology will never be total as it will always be reduced to mnemonic metaphors.

Sub-symbolic and pre-logical neural networks - the organic matter of the brain, in other words - in a few fancy terms is, what I think our linguistic and logical (meaningful) faculties emerge from. These neural networks are physical structures in a (cybernetic) autopoietic (automatically produced) feedback loop with perception. They are considered foundational to perception, even. For instance, the nerve endings in the eye (the retina) process light into perceptual information by transforming light into a digestable nerve-compatible material, that the optic nerve sends to nine nuclei that relay this information into the visual cortex which actually makes the initial signals from the optic nerve more complex. This example, I think illustrates how nerve digestion and processing of light is an increasingly complex process that is a pre-logical, sub-symbolic material process. After the additive complexity within the primary visual cortex, it becomes even more complex as the brain, through neural communication and organic mutation, processes the perception with hyper-complex (cannot predict it mathematically) logical and symbolic faculties. This hyper-complex structure of "buzzing" neural networks become meaningful only to the extent that "difference makes a difference". What this means, I think, is that meaning is not something that nerologists will find in the brain. It is emergent from neural networks - but these neural networks are a historically continual process; meaning that there is never a physical gap in the evolution of bodies (and brains).

Evolution is a continuity that never ceases, in other words. Neg-entropy is an explanatory tool that combines thermodynamic entropy with informational entropy in hopes of creating a new evolutionary theory that combines matter, energy, and information. (Soren Brier) Meaning, then, under this theory is understood to be a methodological combination of Cybernetics, Neurology, thermodynamics, linguistics (particularly Wittegenstein's language games), and semiotics in a field called, Cybersemiotics.

Long-winded, yes. But hopefully you can find something interesting to talk about.

Thanks.