 Making inferences about other minds can be understood as a matter of solving an inverse problem, that of using observable evidence, in this case, behaviors, to infer the invisible causal structure that produces it, in this case, presumably, mental states. Proponents of Model TT are free to assume that the models used in this process are complex, operating simultaneously on multiple scales and levels. In line with predictive processing assumptions, it is assumed that models improve over time through the sustained effort of minimizing prediction error by adjusting predictions in response to mismatches between the content of top-down hypotheses and bottom-up information.