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November 1, 20250 citationsOpen Access

Continuous Universal Analog Logic (LCUA): Smooth Functional Equivalents of Digital Gates Without Comparators

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RARicardo Adonis Caraccioli Abrego

Key Points

  • Continuous Universal Analog Logic framework uses smooth functions for Boolean logic, ensuring attractors guide outputs effectively,
  • Stability and robustness under variations were evaluated, with implications for neuromorphic design in AI-centric systems.
  • The polynomial gate primitives maintained exactness on Boolean vertices, allowing for smooth transitions between states.
  • Analog-hardware integration was proposed using standard components like op-amp adders, enhancing overall stability and performance.

Abstract

We present a framework to implement Boolean logic using only smooth functions (sums, products, and low-cost nonlinearities) without hard thresholds or explicit comparators, while exactly preserving truth tables on the Boolean vertices 0, 1. The core is a family of polynomial gate primitives (AND, OR, XOR, NAND, etc. ) that are exact at the vertices and are interleaved with a smooth booleanizer Bn (x) = xn / (xn + (1−x) n) that stabilizes trajectories toward the attractors 0 and 1 without discretization. We prove (i) exactness on the Boolean vertices; (ii) existence of attractors with local contraction for Bn; (iii) a block-contraction condition that yields stability in deep cascades; and (iv) a phase/harmonic variant via the encoding s = 2b − 1∈ −1, +1 (equivalently s = cos (π (1 − b) ) ). We synthesize a continuous half-adder and a continuous SR latch (smooth ODEs), and we outline an analog-hardware route using standard op-amp adders/scalers, analog multipliers, and exponential (log-antilog) cells. We discuss sensitivity, cost, speed, and robustness under variation, and we identify research directions linking continuous logic to neuromorphic and AI-centric analog-digital co-design.

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Cite This Study

Ricardo Adonis Caraccioli Abrego (2025) studied this question.

synapsesocial.com/papers/69054ffa1a99e50463de690bhttps://doi.org/10.20944/preprints202510.2372.v1
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