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  "id": "oai:papers.qnfo.org:topological-and-computational-unification-of-emergent-agency",
  "slug": "topological-and-computational-unification-of-emergent-agency",
  "title": "Topological and Computational Unification of Emergent Agency",
  "authors": [
    "Rowan Brad Quni-Gudzinas"
  ],
  "abstract": "This manuscript addresses the foundational tension between microscopic superdeterminism and macroscopic emergent agency through the lens of complex systems theory. By synthesizing the computational irreducibility of cellular automata with the geometric constraints of fractal invariant sets, we propose a unified constructal determinism model. We demonstrate that what appears as fundamental quantum randomness is effectively an epistemic artifact of irreducible deterministic complexity, quantifiable via a novel Lossless Complexity Index (LCI) derived from Lyapunov spectra and fractal dimension (LCI ≈ 1.83). Furthermore, we identify topological control structures within constraint networks (N_D=1) that enable robust agency not despite, but because of, underlying deterministic constraints. These findings resolve the paradox of causal eliminativism by establishing a constraint-agency gradient, suggesting that reality is a continuous, non-linear, and computationally dense process where freedom is a topological feature of the constraint landscape. [...]",
  "abstract_markdown": "This manuscript addresses the foundational tension between microscopic superdeterminism and macroscopic emergent agency through the lens of complex systems theory. By synthesizing the computational irreducibility of cellular automata with the geometric constraints of fractal invariant sets, we propose a unified constructal determinism model. We demonstrate that what appears as fundamental quantum randomness is effectively an epistemic artifact of irreducible deterministic complexity, quantifiable via a novel Lossless Complexity Index (LCI) derived from Lyapunov spectra and fractal dimension (\\(LCI \\approx 1.83\\)). Furthermore, we identify topological control structures within constraint networks (\\(N_D=1\\)) that enable robust agency not despite, but *because* of, underlying deterministic constraints. These findings resolve the paradox of causal eliminativism by establishing a constraint-agency gradient, suggesting that reality is a continuous, non-linear, and computationally dense process where freedom is a topological feature of the constraint landscape. [...]",
  "date": "2026-01-01",
  "first_published": "2026-01-01",
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