Now let’s zoom in on consciousness as what happens when meaning traverses that space.
🌀 Consciousness Is Not a Line, but a Trajectory
Traditional models often treat consciousness as a linear stream — thoughts following one another in tidy succession.
But that’s not how experience feels, and it's not how minds behave.
In dynamical systems terms, consciousness is the unfolding of a trajectory within an attractor landscape:
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Never exactly repeating,
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Always constrained by past and present conditions,
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Yet capable of sharp turns, feedback loops, emergent stability, and sudden reorganisation.
Consciousness is chaotic, but not random. It has shape, rhythm, and form — the mark of an attractor at work.
🪞 Reflexivity and Feedback
What makes consciousness unique as a dynamical system is its reflexivity:
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It doesn’t just traverse meaning space — it observes that traversal.
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It adjusts the attractor while being shaped by it.
This reflexivity is like a feedback loop curled into itself:
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I mean something → that act reshapes my attractor slightly → which in turn influences what I mean next → and I may notice this shift and respond.
That’s what allows for intentionality, learning, and self-regulation.
We could even say:
🗣️ Consciousness is the attractor becoming aware of its own attractor-ness.
Which is absurd — but maybe not wrong.
🧬 Emergence of the "Self"
What we experience as the self is not a central controller, but a stable-enough pattern in this chaotic motion — a subset of attractor states that recur, that cohere, that seem “me.”
In attractor terms: the “I” is a metastable region — a zone in which meaning tends to loop, stabilise, and recognise itself.
But it’s not static. That’s why we feel like ourselves, even as we grow and change — because the attractor is evolving, not dissolving.
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Is recursive motion within a strange attractor,
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Produces meaning in context-dependent, non-linear ways,
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Evolves as it moves,
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Is shaped by and shapes what it encounters,
Then this challenges our epistemological assumptions.
Which leads us to:
What does it mean to know, when both the knower and the known are dynamically unstable, and bound by attractors rather than rules?
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