  Current theories suggest that adaptive decision-making necessitates the
interaction between multiple decision-making systems. The computational
definitions of different models of decision-making suggest interactions with
task demands and complexity. We review these computational theories and derive
experimental predictions that will shed light on the underlying neurobiological
mechanisms. We use a well-established multi-strategy task and novel
neurophysiological analyses from hippocampus and striatum as a case study in
the interaction between task structure and navigational complexity. This
approach reveals how task structure and navigational complexity interact with
each other to identify differences between habitual and planned action choices.
