The basic proposition of the model is that the human semantic knowledge system is capable of storing an infinite list of features (or semantic components) associated with a concept; however, only a subset is actively recalled during any given task (contextdependent).
a set of latent indicator variables is introduced to indicate whether a feature is actively recalled at any given task.