PsL‑8_OEES Symbolic Data Flow Architecture: A Deterministic Photonic Logic Pipeline

This technical note details the symbolic data flow architecture of PsL‑8_OEES (Photonic Symbolic Logic – Optical Execution & Evaluation System). The system utilizes RGB-based optical tokens to represent logical symbols, with deterministic flow through a hybrid photonic-electronic pipeline. It outlines module-level design, an 8-symbol encoding scheme, LUT-based logic resolution, and a pseudocode implementation for symbolic execution. This model demonstrates how photonic logic can support interpretable, low-power symbolic computing, with applications in embedded AI, safety-critical systems, and electromagnetic-immune environments. This work complements the foundational PsL‑8_OEES white paper and provides a computable base for further experimental validation.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-10-21
DOI
https://doi.org/10.5281/zenodo.17403908
Primary Topic
Neural Networks and Reservoir Computing
Type
article
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article

PsL‑8_OEES Symbolic Data Flow Architecture: A Deterministic Photonic Logic Pipeline

Zenodo (CERN European Organization for Nuclear Research)
Neural Networks and Reservoir Computing
article

PsL‑8_OEES Symbolic Data Flow Architecture: A Deterministic Photonic Logic Pipeline

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Abstract

This technical note details the symbolic data flow architecture of PsL‑8_OEES (Photonic Symbolic Logic – Optical Execution & Evaluation System). The system utilizes RGB-based optical tokens to represent logical symbols, with deterministic flow through a hybrid photonic-electronic pipeline. It outlines module-level design, an 8-symbol encoding scheme, LUT-based logic resolution, and a pseudocode implementation for symbolic execution. This model demonstrates how photonic logic can support interpretable, low-power symbolic computing, with applications in embedded AI, safety-critical systems, and electromagnetic-immune environments. This work complements the foundational PsL‑8_OEES white paper and provides a computable base for further experimental validation.

Zenodo (CERN European Organization for Nuclear Research)
Institute of World Economics (HU)
Industry, innovation and infrastructure
Openalex Percentile: Top 23%
Neural Networks and Reservoir Computing
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