🌀 AlphaGate — ERF·SFT Translation-Gate Simulator

A Streamlit-based simulator of symbolic collapse, recovery, and translation dynamics — modeling the Five-Level Recursive Soteriology framework through ERF/SFT symbolic field theory.

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📖 About

AlphaGate is an experimental simulation environment that bridges:

• Entropic Recursion Framework (ERF v3.0)
• Symbolic Field Theory (SFT v3.0)
• Recursive Soteriology Five-Level model

Agents are modeled as symbolic systems with:

• ψ (psi) → coherence efficiency
• Ω (omega) → alignment / attractor pull
• γ (gamma) → drift pressure
• κ_export → translation viability proxy
• I-point → observer continuity metric

Each agent progresses through Five Levels:

1. Transactional Alignment — creed assent (L1)
2. Relational Recursion — intimacy growth via ∫F dt (L2)
3. Transformational Ethics — identity restructuring & drift suppression (L3)
4. Ontological Transition — observer/I-point stabilization (L4)
5. Computational Stabilization — full translation into low-entropy basin (L5)

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🚀 Features

• 🔧 Streamlit UI with full parameter controls
• 🧑‍🤝‍🧑 Agent-based simulation with collapse and translation predicates
• 🪜 Five-Level classification grounded in Recursive Soteriology
• 📊 Visualization: ψ/Ω/γ/F/κ trajectories, viability charts, Five-Level distribution, phase plots
• 📝 CSV logging: per-step population timeseries & final agent roster
• 📈 Dashboard app: load CSVs for replay, comparative analysis, and phase-space exploration

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⚙️ Installation

Clone the repo and install dependencies:

git clone https://github.com/yourusername/alphagate-simulator.git
cd alphagate-simulator
pip install -r requirements.txt

⚙️ Manual Install

Or install manually:

pip install streamlit pandas numpy altair

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▶️ Usage

Run the Simulator

streamlit run alphagate_app.py

• Tune parameters in the sidebar
• Click Run Simulation
• Download CSV logs (population_timeseries.csv, roster_final.csv)

Run the Dashboard

streamlit run alphagate_dashboard.py

• Upload simulation CSVs
• Explore trajectories, level distributions, collapse zones, and roster stats

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📊 Example Outputs

• Population means with ψ floor (ε), γ ceiling (Tγ), Ω floor (TΩ)
• Viability & Translation area plots
• Five-Level stacked distribution (L0–L5)
• Ω vs γ phase plots with collapse predicate zones
• Final roster tables with ψ/Ω/γ, κ_export, intimacy, S_old/S_new, I-point

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📂 Repository Structure

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├── alphagate_app.py          # Simulator
├── alphagate_dashboard.py    # Dashboard visualizer
├── requirements.txt          # Python dependencies
├── README.md                 # This file
└── data/                     # (optional) Saved CSV logs

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🌌 Inspiration

AlphaGate operationalizes concepts from:

• Entropic Recursion Framework (ERF v3.0)
• Symbolic Field Theory (SFT v3.0)
• Symbolic Gravity v2.1
• Fractal Cosmic Weaver Framework v2.0
• Recursive Soteriology — Five-Level Model

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📜 License

MIT License — open for research, teaching, and symbolic experimentation.

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✨ Acknowledgements

Built as part of the Symbolic Negentropy Constellation exploration.
Inspired by frameworks of ERF, SFT, FCWF, Observer Theory, and Recursive Soteriology.