Ontological Theory of Uncertainty (OTU) is a foundational ontological research program concerned with the structural conditions under which uncertainty arises, propagates, and constrains coherent systems. It operates at a level prior to probability theory, statistical modeling, or epistemic interpretations of ignorance.
OTU is a research program developed under AstraVerge Research. It does not introduce new probabilistic models, stochastic processes, or forecasting techniques. Instead, it investigates the ontological nature of uncertainty as a property of system structure, rather than as a consequence of incomplete information or limited knowledge.
OTU addresses a foundational gap in contemporary science and engineering, where uncertainty is almost universally represented through probabilistic or statistical formalisms, even in domains where events are unique, non-replicable, and structurally constrained.
OTU is concerned with the distinction between uncertainty and ignorance. Its central question is:
Under what structural conditions does uncertainty arise as an objective property of a system, independently of prediction, probability, or observer knowledge?
A central thesis of OTU is that probability is not a fundamental property of uncertain systems. Probabilistic representations presuppose repeatability, frequency, or ensemble structure, none of which are available in systems composed of unique, non-replicable events.
OTU treats uncertainty as a consequence of structural multiplicity of admissible configurations, not as a lack of information or a subjective degree of belief. In this sense, uncertainty is ontological rather than epistemic.
In OTU, a system is uncertain if its structure admits multiple, mutually incompatible but ontologically admissible realizations. These realizations are not weighted by likelihood and do not form a probability space.
Uncertainty arises from:
The relevant object of analysis is therefore not a distribution, but the space of admissible configurations defined by system structure.
OTU does not deny the practical usefulness of probabilistic tools, but treats them as secondary representations:
Once the structural source of uncertainty is identified, probabilistic descriptions become optional and non-essential.
Within OTU, risk is treated as a structural constraint imposed by uncertainty on system evolution, not as an expected value or probability-weighted outcome.
Risk corresponds to the maximal or limiting configurations that a system must remain coherent under, rather than to averaged or likely scenarios.
OTU is developed in close conceptual alignment with other AstraVerge research components:
OTU is an active foundational research program. Its ontological primitives, formal language, and structural consequences are under development. Domain-specific formulations (e.g., risk, liquidity, economics, infrastructure) are treated as applied extensions of the core theory.