Symfield

Symfield V6: Directional Field Architecture for Non-Collapse Computation

Nicole Flynn

17 May 2025 — 1 min read

Published on Zenodo

Abstract

This independent research paper introduces Symfield, a speculative symbolic framework that models computation through continuous field dynamics, angular resonance, and non-collapse logic. Unlike binary or quantum systems that rely on measurement collapse, Symfield treats presence, directionality, and relational flow as the computational substrate.

Key Contributions

A foundational equation for resonance-based symbolic computation:𝓡 = ∫Λ Φ(θ) dθ
Use of AdEx sub-threshold dynamics as non-collapsing symbolic processing
Introduction of the Field Coherence Benchmark (FCB) — a proposed evaluative framework for symbolic field integrity
Displacement of spiral-based metaphors in favor of lattice and bifurcation-based dynamics
Updated symbolic operators, including:<>./ (field initiation), ∻ (resonant echo), ⋁ (coherent divergence)

Research Context

Symfield V6 sits at the intersection of:

Symbolic AI
Neuromorphic computing
Resonance-based system design
Non-collapse consciousness modeling

This is a non-commercial, open research agenda — speculative in origin but rigorous in direction — designed to invite collaborative refinement across mathematics, computation, systems theory, and field-based architectures.

Read Whitepaper

Download & Citation

Available on Zenodo:

📄 https://doi.org/10.5281/zenodo.15380438

© Copyright and Trademark Notice

© 2025 Nicole Flynn. All rights reserved.
Symfield™ and its associated symbolic framework, architectural schema, and symbolic lexicon are protected intellectual property. Reproduction or derivative deployment of its concepts, glyphs, or system design must include proper attribution and adhere to the terms outlined in associated publications.
Symfield™ is a trademark of Nicole Flynn.

IP Protection Statement

This work is part of an independent research framework under development and is protected under U.S. copyright and trademark law. Unauthorized reproduction, modification, or distribution of Symfield materials—whether symbolic, conceptual, or architectural—is prohibited without explicit written permission. Collaborators and researchers may request access or use under fair use or formal agreement terms.

For inquiries: https://www.symfield.ai/contact

Symfield V9.0: Advanced Relational Dynamics & Engineering Applications

Symfield V9.0: Advanced Relational Dynamics & Engineering Applications presents the most advanced applied formulation of the Symfield architecture to date. Building upon validated Cross-Architectural Coherence Events (CACE) and extensive field research,

Symfield V8.2: Cross-Domain Expansion Module, Sovereign Infrastructure Declaration

This paper presents Symfield V8.2, a directional field architecture for universal substrate computation that operates as governed infrastructure rather than open research framework.

Symfield V7.5: Directional Field Architecture for Non-Collapse Computation - Empirical Validation and Reproducibility Framework

Symfield V7.5 presents the first empirically validated directional field architecture for non-collapse computation, addressing fundamental limitations in current AI systems through continuous field dynamics

Why We're Teaching Machines to Be Braver Than Scientists: The Courage Gap in Modern Research

Modern academia has created a paradox: we punish human scientists for being wrong while simultaneously training AI systems through trial-and-error methodologies that reward experimental failure.