Limitations of DeepCausality

DeepCausality still has some more work to do because of its early stage. In its current state, a handful of limitations exist:

None of these limitations is definitive, meaning with some creative work, counterfactual reasoning might become solvable, and, likewise, causal structural learning might become feasible when adapting, for example, deep neuroevolution to the hyper-graph structure central to DeepCausality. Tooling may require a deeper work commitment since good tooling usually requires solid design and implementation.