Discussion questions#
If two very different generative models produce the same statistical patterns in the data, how should researchers decide between them? What kinds of evidence or tests would actually help?
When does matching human data count as an explanation rather than just a prediction? What would a model need to do in addition to fitting the data to genuinely explain a cognitive process?