This work documents, formalizes, and generalizes a cognitive principle implicit in Italian patent IT 1,183,052 (1984), originally developed for the identification of microorganisms through predefined geometric configurations. The patent introduced a non-analytical recognition mechanism in which a combinatorial space of 43,046,721 possible configurations (3¹⁶) is reduced to a finite set of predefined static geometric patterns. Instead of requiring analytical comparison, the system enables direct perceptual recognition through the actualization of a geometric form corresponding to the observed data configuration. This principle is defined as Configurational Recognition through Actualization of Predefined Patterns (R.C.A.P.). It describes an invariant operational structure in which discrete or continuously discretized data do not generate forms, but actualize pre-existing geometric configurations when informational saturation is reached. The work provides: a formal definition of the principle a set of axioms and a mathematical model a cognitive and epistemological positioning a classification framework for contemporary systems A comparative analysis across heterogeneous domains — including avionics (Boeing 767 EICAS), wearable interfaces (Apple Watch Activity Rings), military systems (F-35 HMDS), and autonomous driving systems (ADS and drones) — demonstrates independent structural convergence toward the same recognition architecture. These systems differ in implementation (analog vs. digital, perceptual vs. computational), but share a common structure: data → integration → configuration → direct recognition The recurrence of this structure across independent domains supports the hypothesis that R.C.A.P. is not a contingent design solution, but a structurally constrained principle of recognition emerging under specific informational conditions: discrete or discretized data, integration, and the need for immediate decision. The 1984 patent represents the first documented operational implementation of this principle. Its generality becomes evident only through subsequent independent convergence in technologically advanced systems. This work positions R.C.A.P. within the fields of: human–machine interaction information visualization cognitive systems design sensor fusion and perceptual decision-making and proposes it as a design principle, structural invariant, and cognitive mechanism applicable across domains.
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Rodolfo Berretti
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Rodolfo Berretti (Fri,) studied this question.
www.synapsesocial.com/papers/69f6e62e8071d4f1bdfc6c7f — DOI: https://doi.org/10.5281/zenodo.19941469