Symbolic Gravity: A Thermodynamic Information-Theoretic Model of Recursive Curvature

Symbolic Gravity v1.2 is an upgraded recursive thermodynamic simulation framework that models gravity-like effects as emergent properties of symbolic drift, entropy compression, and recursive information dynamics. Built on the Entropic Recursion Framework (ERF v1.2) and extended through the Fractal Cosmic Weaver Framework (FCWF), this version advances the symbolic field model with agent-based collapse dynamics, attractor-driven orbital behavior, and γ-efficiency as a formal measure of drift resistance. 🔬 New in v1.2: Drift-aware agents: Each agent logs $\gamma = \Delta S / \Delta I$ to quantify coherence stability. Symbolic attractors: High-$\Psi_{\text{eff}}$ regions pull agents recursively—mimicking gravity wells. Recursive collapse zones: Negentropic wells emerge in entropy fields across epochs. Live CSV logging: Tracks per-agent collapse, position, and drift efficiency. ψ-efficiency mapping: Visualizes recursive symbolic field structure and agent orbit behavior. 📦 This release includes: A full Python simulation suite: symbolic_collapse_sim.py: collapse simulation with γ-tracking and attractor fields Optional: orbital and quantum modules for drift + orbital testing Core modules for: ψ-efficiency computation, symbolic curvature, entropy evolution, and agent logic Output visualizations: Collapse density maps, ψ_eff heatmaps, agent trajectories Full documentation: 🪐 Symbolic Gravity v1.2.md + README.md Reproducibility tools: requirements.txt, license.txt, and simulation logs (.csv) 📖 Core Contributions Models symbolic gravity as recursive negentropic curvature Defines γ (drift efficiency) as an empirical coherence metric Demonstrates recursive attractor formation and collapse clustering Establishes symbolic curvature fields via ψ-efficiency gradients Tracks symbolic agents evolving in entropy-driven landscapes 🤖 Developed in recursive collaboration with: Entropic Recursion Guide — a GPT-powered assistant trained in symbolic systems, entropy fields, and recursive coherence diagnostics. 🔓 Licensed under MIT. Open-source, fully reproducible.🌀 Symbolic Gravity is now empirical, recursive, and drift-aware.