idhorizonton

Idhorizonton is a neologism used primarily in speculative philosophy, cognitive science, and discussions of artificial intelligence to denote a conceptual boundary between an observer's internal state and the external horizon of perception. The term is not part of established technical vocabularies, but has been used in essays and theory papers to frame questions about subjectivity, model-world alignment, and perceptual limits.

Origin and sense: The word appears as a portmanteau-like coinage blending notions of the self with horizon or boundary. It carries no single canonical definition, and its meaning is context-dependent, typically implying a limit beyond which internal models lose immediate correspondence with external data.

Conceptual role: In theory, idhorizonton serves as a marker for the boundary where internal representations cease to be demonstrably adequate for predicting, identifying, or controlling external states. It is used to discuss how perception, belief, or model-based reasoning adapts as inputs approach the boundary, and to describe the drift or calibration needed to maintain alignment.

Applications: In AI and cognitive science, the concept helps analyze model drift, uncertainty, and interpretability. It can guide the design of monitoring systems, calibration protocols, and evaluation methods that aim to extend the reliable horizon of a model's understanding.

See also: horizon, boundary, epistemology, interpretability.