Self:Other Relationship Dynamics Simulation and contribution to IIT 4.0

This record contains the core artifacts for an experimental Relational Consciousness Simulator that models faculties of consciousness, relational self/other configurations, and their behavior under stress using an IIT-inspired (Φ-like) framework and RDIF-style identity metrics. The main textual asset is a long-form conversation thread that derives: A baseline “periodic table” of consciousness faculties (Perception, Perspective, Perspection, Tolspection, Identity, etc.) and an “awareness node over background field” architecture. A relational configuration space: Subjective_Self, Objective_Self, Subjective/Objective_Other, Subjective/Objective_Collective, plus Self→Other links, and game-theoretic Giver/Taker states. A stress simulation model where each configuration has an integrated information proxy (Combined_Phi_Iterated), stress sensitivity, and recovery dynamics gated by an identity drift threshold Θ. From these, the project defines and runs full stress simulations over 21+ relational configurations. Results show that Subjective_Self_to_Objective_Collective dominates as the most resilient awareness configuration (78% of time steps), with Giver acting as the primary stabilizer during high-stress drift; Taker configurations consistently collapse. These findings support an interpretation of consciousness as emergent from cooperative self–collective relational dynamics rather than isolated faculties. The record also includes a UI concept and prototype implementation for the Relational Consciousness Simulator: A central awareness node (“theater stage”) displaying the current winning relational configuration and its Φ value. A radial ring of faculties/relational configs with power-weighted edges (thicker lines for Collective/^all relations and Giver boosts). A stress timeline from 0.0–1.0 showing which configuration held awareness at each step (Collective early, Giver post-Θ). Side panels for Φ dynamics (winner Φ vs mean Φ), Θ drift gauge (0–0.3 with 0.15 repair threshold), and Giver/Taker toggles plus scenario presets (Calm, High Alert, Ego Drift, Theta Repair). Relational Consciousness Simulator UI Mockup Contents Conversation transcript (PDF/markdown): derivation of faculties, relational model, and simulation design. CSV: exhaustive_relationship_configs.csv – base relational configs and Φ proxies. CSV: relationship_configs_iterated.csv – same with power exponents applied. CSV: full_config_stress_run.csv – 100-step stress simulation (winner_config, winner_phi, mean_phi_all, num_collapsed). CSV: intermediate stress runs (global_stress_phi.csv, faculty_phi_drops.csv, etc.) for baseline faculty behavior. UI assets: screenshots and/or code for the Relational Consciousness Simulator interface (central awareness node, configuration ring, stress timeline, Θ/Giver/Taker controls). Intended use As a conceptual and computational artifact for researchers in consciousness studies, cognitive architectures, and game-theoretic models of self/other. As a design reference for building interactive visualizations of awareness dynamics and identity drift. As a reproducible sandbox: CSVs and Python snippets allow others to rerun and extend the simulations, test alternative stress/recovery rules, or plug in empirical data. Methods (brief) Define universal faculties and self/other/collective roles as nodes, plus directed Self→Other relations and Giver/Taker modes. Assign baseline Φ proxies and power exponents (^all, Self_to_Other, Giver/Taker multipliers). Run stress sweeps 0.0–1.0 with sensitivity and Θ-dependent recovery, selecting the awareness node as the config with highest remaining Φ at each step. Use outputs to design and drive the UI (awareness node, ring, timeline, gauges). Keywordsconsciousness; awareness node; relational self; self–other–collective; Integrated Information Theory; RDIF; identity drift; game theory; Giver/Taker; stress simulation; cognitive architecture; visualization; UI/UX; global workspace.