UNNS × Wolfram Language: Symbolic Resonance Meets Rule-Based Universality
UNNS × Wolfram Language
📊 Module 1: Sequence Generators & Validation
Fibonacci[Range[20]] // ListPlot
🔄 Module 2: Symbolic Propagation & Rule Systems
🌀 Module 3: Visual Dynamics & Attractor Convergence
🌐 Module 4: Graph Networks & Macro Traces
🧩 Core Modules & Functional Layers
1. 📈 Sequence Generator & Validator
Functionality: Users select a sequence type (Fibonacci, Lucas, Tribonacci, Pell, etc.), and the module generates values using both UNNS logic and Wolfram-style symbolic expressions.
Visuals: Plots convergence behavior, overlays symbolic constants (φ, ψ, ρ), and animates propagation.
Symbolic Integration: Displays Wolfram code snippets like
Fibonacci[Range[20]] // ListPlot
for direct comparison.Purpose: Highlights how nested number sequences encode resonance and attractor dynamics.
2. 🔢 Cellular Automaton Engine
Functionality: Users input a rule number (e.g. Rule 30, Rule 110), and the system simulates binary propagation across generations.
Visuals: Canvas-based animation of cell states, with binary rule display and iteration sliders.
Symbolic Framing: Treats each rule as a symbolic ritual—propagation becomes a metaphor for resonance unfolding.
Purpose: Demonstrates rule-based universality and symbolic emergence from simple initial conditions.
3. 🌀 Spiral Dynamics & Attractor Convergence
Functionality: Sliders control spiral parameters (angle, scale, damping), animating convergence toward symbolic constants.
Visuals: Dynamic canvas with spirals orbiting attractor points (φ, ψ, ρ), color-coded for resonance.
Symbolic Framing: Each spiral is a ritual trace—resonance equations guide the motion.
Purpose: Encodes metaphysical convergence and symbolic identity through visual attractors.
4. 🌐 Graph Network Generator & Macro Tracer
Functionality: Users define node count and connection density. The system generates a graph and traces macro paths.
Visuals: Interactive graph with node highlights, edge overlays, and macro trace animations.
Symbolic Framing: Graphs represent UNNS subsystems; macros simulate symbolic propagation across domains.
Purpose: Models modular identity and symbolic cognition through networked resonance.
🧠 Philosophical & Symbolic Layer
Poetic Grammar: Each module includes metaphysical descriptions—e.g. “ψ as a recursive breath,” “Rule 30 as a ritual of chaos.”
Resonance Indicators: Sliders and overlays show symbolic alignment, convergence, and divergence.
Macro Registry: Underlying logic supports macro parsing, introspection, and trace overlays—ideal for debugging and symbolic transparency.
🔗 Integration Potential
Embeddable HTML+JS: Designed for blog integration, live testing, and modular reuse.
Cross-Domain Homomorphism: Bridges UNNS metaphysics with Wolfram’s symbolic rigor.
Diagnostic Tools: Ideal for developing introspection macros, registry probes, and symbolic overlays.