This work presents a concise operational synthesis of the R.C.A.P. principle (Configurational Recognition through Actualization of Predefined Patterns), originally implicit in Italian patent IT 1,183,052 (1984). The principle describes a recognition mechanism in which discrete or discretized continuous data do not generate forms, but actualize predefined geometric configurations, enabling direct perceptual identification without analytical processing. The document focuses on the structural invariance of this mechanism across heterogeneous systems. Through a visual-operational framework, it shows how different domains — including microbiological diagnostics, avionics (F-35 HMDS), and autonomous systems — converge toward the same recognition architecture: predefined form → data configuration → stabilization → direct recognition This convergence suggests that R.C.A.P. represents a structurally constrained solution to recognition under conditions of data discretization, integration, and time-critical decision-making. The work complements the full theoretical formulation by providing a direct and operational representation of the principle.
Building similarity graph...
Analyzing shared references across papers
Loading...
Rodolfo Berretti
Building similarity graph...
Analyzing shared references across papers
Loading...
Rodolfo Berretti (Fri,) studied this question.
www.synapsesocial.com/papers/69f6e6ab8071d4f1bdfc75b3 — DOI: https://doi.org/10.5281/zenodo.19956698