Learning from demonstration is associated with acquiring a solution to a task by mimicking a teacher demonstrator. Understanding the underlying reasons and in turn preferences that lead to a demonstration can yield better task comprehension. We present a generative model that describes a table-top task in terms of a causal model with respect to known concepts (e.g., the notion of a fork). Causal reasoning in the latent space of this generative model fully describes the meaning of the demonstration ...