Monograph formalizes Resonant Spatial Computing, using dynamic synchronization to enhance data efficiency.
This monograph formalizes the paradigm of Resonant Spatial Computing (RSC). We propose an alternative to static geometric calibration: a protocol of Dynamic Inertial Synchronization (IPS) that couples the interface to the geodetic field via a Geocentric Pendulum. Classical mechanics is used as a primary analog data compressor—a stage we define as Layer Zero. The framework draws on Arboreal Priors and the Precision Grip as evolutionary substrates, providing a physical anchor for Active Inference and the Free Energy Principle. RSC addresses the Sparsity Paradox by extracting intent at the Kinetic Nadir, achieving a 150:1 data reduction. We provide numerical simulations demonstrating noise suppression and sparse reconstruction, illustrating how gravitational priors reduce proprioceptive drift.
No takes yet. Share an insight, caveat, or question.
André Luiz Trindade (2026) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: