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…
Fun with funding: What it’s like to run a Kickstarter project: bit.ly/JZY0z2

