  We decompose the anomalous diffusive behavior found in a model of aging into
its fundamental constitutive causes. The model process is a sum of increments
that are iterates of a chaotic dynamical system, the Pomeau-Manneville map. The
increments can have long-time correlations, fat-tailed distributions and be
non-stationary. Each of these properties can cause anomalous diffusion through
what is known as the Joseph, Noah and Moses effects, respectively. The model
can have either sub- or super-diffusive behavior, which we find is generally
due to a combination of the three effects. Scaling exponents quantifying each
of the three constitutive effects are calculated using analytic methods and
confirmed with numerical simulations. They are then related to the scaling of
the distribution of the process through a scaling relation. Finally, the
importance of the Moses effect in the anomalous diffusion of experimental
systems is discussed.
