emulgaatio
Emulgaatio is a theoretical framework describing a way to construct high-fidelity emulators that reproduce the behavior of complex real‑world systems across multiple scales. It emphasizes modular architecture, data-driven calibration, and adaptive learning to achieve faithful representations with controllable error bounds. The term is used in speculative and forward-looking discussions of advanced simulation methods and digital twins.
Core ideas of emulgaatio involve building an emulator from layered models representing different levels of abstraction,
Validation and use of emulgaatio-focused approaches aim to enable cross-domain testing, scenario planning, and experimentation without
Limitations of emulgaatio include the substantial data and computing resources required, the risk of error propagation
See also: Emulation, Digital twin, Surrogate model, Simulation.