The traditional approach to modeling in the cognitive sciences starts with the identification of the problem – let us say, causal explanation patterns – and then moves on to a a representational framework in which that problem can be addressed (let us say Bayesian probabilities) followed by theories that seek to explain experimental data (say…
Why do we need academic journals in the first place?: bit.ly/wBGUXn

