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| Format: | Recurso digital |
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Zenodo
2026
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| Online Access: | https://doi.org/10.5281/zenodo.19661137 |
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Table of Contents:
- <p>This work introduces The Facture Mechanism, a unified systems framework for understanding how conscious and relational systems navigate a bounded but vast space of possible trajectories. At its foundation is the Store Ontology, which models reality as an invariant state space (Ω) containing all possible configurations, structured within a Goldilocks Basin that enables stable and navigable experience.</p> <p>Within this framework, consciousness is not treated as generative, but as a constraint mechanism that selectively projects subsets of Ω into subjective experience. Experience is therefore defined as a constrained traversal of possibility, rather than the construction of reality itself.</p> <p>The framework integrates key dynamics governing system behaviour, including signal fidelity, perceived value, environmental opacity, and selection pressure. These variables determine how trajectories are chosen, stabilised, or destabilised over time. Prediction drift and terminal bifurcation are formalised as failure modes arising from misalignment between perceived and actual trajectories within the state space.</p> <p>A central contribution is the Facture Mechanism, which restores feedback integrity by linking predictions to outcomes, enabling recalibration and adaptive learning. Crucially, the system introduces the principle of localised consequence: errors do not alter the structure of the state space, but are experienced by the selecting agent through changes in perceived value, confidence, and available energy.</p> <p>This separation between an invariant basin of possibility and agent-local consequence ensures that the system remains thermodynamically and structurally stable while preserving meaningful feedback and adaptation at the level of experience.</p> <p>The framework is presented as a falsifiable interpretive model applicable across domains including cognition, decision-making, relational systems, and information environments. By unifying ontology, selection dynamics, and feedback mechanisms within a single architecture, this work provides a coherent account of how systems navigate, diverge, and recalibrate without requiring collapse or structural degradation of the underlying state space.</p>