The Ambidextrous Framework: Viability, Noise, and Adaptive Capacity in Complex Systems

This work introduces the Ambidextrous Framework, a conceptual and computational approach for understanding how complex systems maintain persistence under environmental noise. The framework models survival as the relationship between environmental variability (σ) and adaptive capacity (Cₐ), expressed through a diagnostic ratio: W = σ / Cₐ This “Worry Index” functions as a stability indicator for biological, social, economic, and technological systems. When W ≈ 1, systems operate in an adaptive regime where environmental challenge and internal capacity remain balanced. When W ≪ 1, systems enter stagnation due to insufficient challenge, while W ≫ 1 corresponds to instability and potential collapse. The framework proposes an ambidextrous structure of reality, where: Physics provides constraint and environmental noise Biology produces adaptive agents capable of response Consciousness acts as a rendering interface that integrates environmental information into actionable models Culture and technology extend adaptive capacity across populations and generations Through simulation experiments and conceptual analysis, the framework demonstrates that survival emerges from maintaining equilibrium between environmental complexity and system adaptability rather than eliminating noise entirely. The repository includes conceptual models, diagnostic tables, and supporting documentation describing the framework and its potential applications to complex systems theory, evolutionary dynamics, resilience science, and socio-technical systems.