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From Data to Presence Designing Symbol-Aware Neural Architectures.pdf

Authors: Souza Silva, Jaconaazar;

From Data to Presence Designing Symbol-Aware Neural Architectures.pdf

Abstract

This position paper proposes RNA-XC as a new class of neural architecture: a symbolic network capable of recognizing not only patterns, but presence. Drawing from the XChronos project and grounded in ontological idealism, the architecture incorporates formal concepts such as Chronons, Hexachronons, Metachronos, and the subjective intensity function ψ(t), culminating in the Symbolic Activation Limit Equation (ELAS). Rather than relying on datasets or predictions, RNA-XC processes symbolic and phenomenological indicators like emotional silence, gaze, and semantic weight — modeling time as a lived, reflexive field. This document synthesizes multiple articles previously published on Zenodo into a unified framework and calls for experimental development in the fields of AI, consciousness studies, and temporal phenomenology. RNA-XC is not just a theory: it is a proposed path toward presence-aware computation.

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Keywords

XChronos, ontological intelligence, phenomenological neural networks, ψ(t), resence-aware computing, chronons, ELAS, symbolic AI, subjective time

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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Average