This work documents, formalizes and generalizes a cognitive principle implicit in Italian patent IT 1.183.052 (1984), concerning the identification of microorganisms through predefined geometric configurations. The device achieves a transformation of the interpretive paradigm: a discrete combinatorial space of 43,046,721 configurations is reduced to a limited set of immediately recognizable visual patterns, enabling the shift from analytical comparison to direct perceptual recognition. The principle, defined as Configurational Recognition through Actualization of Predefined Patterns (R.C.A.P.), describes a general operational structure in which discrete data perceptually actualize pre-existing static geometric forms. The comparative analysis with heterogeneous systems (avionics, wearables, immersive systems, and autonomous driving systems) is not interpreted as compatibility or analogy, but as independent manifestation of the same cognitive structure. In particular, the extension to autonomous driving systems shows that operational identification does not occur through explicit data analysis, but through the actualization of predefined geometric configurations (models, bounding boxes, three-dimensional primitives) rendered semantically salient by the convergence of sensory data. The principle does not depend on technology or the quantity of information, but on invariant relationships between discretization, integration and configurational recognition.
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Rodolfo Berretti
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Rodolfo Berretti (Mon,) studied this question.
www.synapsesocial.com/papers/69df2c88e4eeef8a2a6b1a7c — DOI: https://doi.org/10.5281/zenodo.19560392