The Viability Grammar: Toward a General Theory of Persistence in Complex Adaptive Systems | ChatGPT5.3, Gemini and NotebookLM

Understanding why complex systems persist under disturbance while others collapse is a central challenge across the natural and social sciences. Research on this problem has emerged across several intellectual traditions, including cybernetics, resilience ecology, viability theory, predictive processing, and institutional governance studies. However, these traditions have largely evolved in parallel, resulting in fragmented conceptual frameworks for analyzing adaptive persistence.

This paper proposes a unifying framework — the viability grammar — that identifies seven structural elements governing the persistence of complex adaptive systems: constraints, margins, optionality, disturbances, perception, regulation, and system state. These elements interact through a set of irreducible triadic relations that together define a relational syntax of viability. Building on this structure, the paper advances a triadic generative hypothesis suggesting that the viability grammar may emerge from the interaction of three fundamental system dimensions: constraints, perception, and regulation. Disturbances act as forcing fields that perturb system trajectories, while margins and optionality arise from the relationship between system state and constraint geometry.

Interpreting these relations geometrically reveals that adaptive systems evolve within constraint-defined state spaces in which regulatory actions and disturbances shape system trajectories. Evidence from physical, biological, ecological, and institutional systems suggests that the same structural architecture recurs across multiple levels of organization. The viability grammar therefore offers a common conceptual language for analyzing resilience, adaptation, and system collapse across domains. The framework provides a foundation for the development of a broader interdisciplinary research program aimed at understanding the conditions under which complex adaptive systems remain viable within the limits imposed by their environments.

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The Unifying Grammar of Viability: Constraint, Memory, and the Preservation of Connected Futures ChatGPT5.2 & NotebookLM

This work advances a minimal structural thesis: living systems are bounded, history-sensitive dynamical systems whose continued existence depends on preserving connected viable futures under finite constraint. Drawing on dynamical systems theory, stress physiology, ecology, economics, and governance theory, the book formalizes viability topology as the minimal metaphysical structure underlying living systems.

Persistence requires sustained interiority within a viability set K. Repeated imbalance encodes structural deformation, producing curvature, tipping points, hysteresis, and basin multiplicity. Reachable future space V(s) defines optionality. Control processes function to preserve or expand this space. Ontology, epistemology, and axiology are therefore dynamically unified: boundary defines being, constraint forecasting defines knowledge, and preservation of viable futures defines minimal value.

The framework is applied across scale. In medicine, chronic disease is interpreted as entrenchment-induced basin narrowing. In economics, growth detached from regenerative capacity is shown to steepen curvature and increase instability. In governance, cross-scale integration is evaluated according to preservation of coupled viable space across time.

The result is a unified grammar of viability capable of diagnosing structural fragility in biological, institutional, and civilizational systems. The central evaluative question becomes: does a given action widen or narrow the space in which the future remains possible?

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