 Given the identifiability result described in  Section 3.5  above, we can recover the correct causal graph \(\bG\) from the probability function P together with the time-indices of the variables. We can now use P and \(\bG\) to compute the effects of interventions, as described in  section 3.6  above. We now define actual causation as follows: