1. An adaptive multi-level hierarchical control system for predicting and controlling an electrographic onset of a seizure and other neurological disturbances in an individual, comprising: a data generation component, including a plurality of sensors adapted to be attached or implanted, that acquires a plurality of physiological signals detected by at least one sensor; an intelligent data processing device that processes the physiological signals to extract features and analyzes and classifies the extracted features to form a feedback vector that includes an estimate of a probability of seizure for at least one specific time frame; a low level controller including a stimulation device, having a plurality of actuators, that is activated to apply a preventive measure adaptively in response to the estimate of a probability of seizure in the feedback vector exceeding an adaptive threshold to control the onset of seizure and to adjust automatically an internal parameter setting in at least one actuator in the stimulation device; and a high level supervisory controller including a knowledge database and a processor that adapts to feedback vector changes over time and re-tunes the intelligent data processing device parameter settings dynamically.