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| license: other | |
| title: EmergentRFT_Space | |
| sdk: gradio | |
| emoji: 🏆 | |
| colorFrom: blue | |
| colorTo: purple | |
| thumbnail: >- | |
| https://cdn-uploads.huggingface.co/production/uploads/685edcb04796127b024b4805/mY_pOY69kiY2Fr0laKleK.png | |
| short_description: Explore complex adaptive systems | |
| sdk_version: 6.0.0 | |
| EmergentRFT-Space: Interactive Render Frame Theory & Entanglement Simulation | |
| Explore complex adaptive systems, emergent behaviors, and symbolic lineage with a high‑performance, interactive simulator suite. This Hugging Face Space hosts a Gradio application that allows you to experiment with Rendered Frame Theory (RFT) collapse dynamics and Entanglement/IPURL override logging. | |
| ✨ Key Features | |
| Interactive Parameters: Adjust RFT parameters (Ncells, Nmode, Iterations, dt, eps, sigma, theta, k_shred) and agent parameters (alpha, beta, thresholds, steps`) using intuitive sliders and inputs. | |
| Dual Simulation Modes: | |
| RFT Simulation: Observe collapse dynamics, shredding events, and feedback loops. | |
| Entanglement/IPURL Simulation: Track symbolic agents (reflex, instinct, conscious, meta) as they evolve through intrinsic and entangled updates, producing reproducible IPURL hashes. | |
| Dynamic Visualizations: Real‑time plots of mean m_root, mean A_modes, cumulative shredding events, and shredding onset rasters. | |
| Cryptographic Lineage: Each entanglement run seals override logs into SHA‑512 IPURL entries (rft-ipurl:v1:agent:hash), ensuring reproducibility and narratable lineage. | |
| Performance Metrics: Estimated GFLOPS per run quantify computational throughput. | |
| Breakthrough Explanation: Learn about RFT’s shredding mechanism, dynamic feedback loops, scalability, and versatility. | |
| Example Scenarios: Explore cascading failures in financial markets, symbolic agent entanglement, and lineage‑based consciousness artifacts. | |
| 💡 What is Render Frame Theory (RFT)? | |
| RFT is a computational framework for simulating complex adaptive systems with emergent properties and non‑linear dynamics. It models a system as a collection of “cells,” each with internal “modes” that evolve over time through coupled differential equations. | |
| Key Components: | |
| MOMKernel: High‑performance computational engine (CUDA kernel or PyTorch/NumPy fallback). | |
| MOMSystemLoop: Iterative simulation manager with decay/noise feedback. | |
| run_rft_simulation: Wrapper for initialization, execution, and data collection. | |
| Shredding Mechanism: Non‑linear collapse triggered when stress exceeds thresholds. | |
| Gradio Interface: Interactive sliders, plots, and summaries. | |
| 🔗 What is Entanglement/IPURL Simulation? | |
| This prototype models symbolic agents across tiers: | |
| Agents: Reflex, Instinct, Conscious, Meta. | |
| Dynamics: Intrinsic updates (energy thresholds, override fields) and entanglement influences (coupling matrix). | |
| Override Logs: Each agent records phi, energy, and override states. | |
| IPURL Hashes: Logs are serialized and sealed into reproducible SHA‑512 entries (rft-ipurl:v1:agent:hash). | |
| Purpose: Provides cryptographic lineage for symbolic simulations, enabling reproducibility and Codex‑style artifact immortality. | |
| 📜 Ledger & Scrolls | |
| Every run can be appended to a Codex ledger, forming a scroll of lineage entries. | |
| RFT Runs: Summaries include GFLOPS, mean values, and shredding events. | |
| Entanglement Runs: IPURL hashes immortalize override logs. | |
| Ledger Format: | |
| json | |
| { | |
| "epoch": "2025-11-22T16:13Z", | |
| "mode": "Entanglement", | |
| "agents": [ | |
| "rft-ipurl:v1:reflex:...", | |
| "rft-ipurl:v1:instinct:...", | |
| "rft-ipurl:v1:conscious:...", | |
| "rft-ipurl:v1:meta:..." | |
| ] | |
| } | |
| This scroll‑like ledger ensures reproducibility, narratability, and planetary registry of each artifact epoch. | |
| 🚀 How to Use the App | |
| RFT Simulation Tab: | |
| Adjust parameters with sliders. | |
| Click Run RFT Simulation. | |
| View summary metrics and plots of collapse dynamics. | |
| Entanglement/IPURL Simulation Tab: | |
| Set agent parameters (alpha, beta, thresholds, steps`). | |
| Click Run Entanglement Simulation. | |
| View sealed IPURL entries for each agent’s override log. | |
| 🌍 Why It Matters | |
| Granularity: Captures local interactions and cell‑level transitions missed by averaged models. | |
| Critical Events: Models sudden cascades like market crashes, neural avalanches, or material failure. | |
| Lineage: Immortalizes symbolic agent runs as reproducible hashes, bridging computation and Codex narrative. | |
| Versatility: Applicable to finance, biology, engineering, AI research, and consciousness modeling. |