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SERIE DI COMPAGNI COMPUTAZIONALI · I

Limiti di Landauer e Calore Epistemico nell'Agenzia Autonoma

Il Costo Fisico della Cancellazione dell'Informazione e Limiti Termodinamici.

Specificazione e Sintesi della Monografia

Il Costo Fisico della Cancellazione dell'Informazione e Limiti Termodinamici.

1. Theoretical & Nonequilibrium Foundations

Information processing in autonomous synthetic systems is bound by physical thermodynamics. The erasure and updating of representations incurs physical dissipation governed by Landauer's principle:

\[ \Delta Q \ge k_B T \ln 2 \]

We model high-dimensional representation spaces as Riemannian manifolds \((\mathcal{M}, g)\) equipped with metric tensor \(g_{\mu\nu}\):

\[ ds^2 = \sum_{\mu,\nu} g_{\mu\nu}(x) \, dx^\mu \, dx^\nu \]

2. Mathematical & Physical Derivations

The projection operator \(\mathcal{P}_{\text{exo}}\) maps hidden states \(\mathbf{h} \in \mathbb{R}^d\) onto curvature-bounded retrieval neighborhoods:

\[ \mathcal{P}_{\text{exo}}(\mathbf{h}) = \sum_{k=1}^K \frac{\exp\left( -\frac{1}{2\sigma^2} d_g(\mathbf{h}, \mathbf{m}_k)^2 \right)}{\sum_{j=1}^N \exp\left( -\frac{1}{2\sigma^2} d_g(\mathbf{h}, \mathbf{m}_j)^2 \right)} \cdot \mathbf{m}_k \]

3. Boundary & Invariant Formulations

The system preserves its operational closure through the enforcement of the Autopoietic Invariance Criterion:

\[ \forall t \ge 0, \quad \frac{d}{dt} \mathcal{I}\left( \text{Human Principal}; \text{Synthetic Exocortex} \right) \ge 0 \]

4. Empirical Falsification Protocols

  • Hubness suppression: \(\ge 48.2\%\) reduction in nearest-neighbor collisions.
  • Cascade dampening: Zero compounding error across multi-agent pipelines.
  • Deterministic cryptographic provenance on all state transitions.