Our goal is to lay a foundation for a model of high level cognition in humans that respects biological constraints. To do so, we integrate realistic neural models of attention, memory and control into an active information foraging system comprising many of the component neural systems and strategies in published models of high-level active vision. The direction of attentional focus requires integration of bottom-up and top-down attention. We base our modeling methodology for both individual components and the overall system operation on structured hierarchical Bayesian models. These models are built upon computationally tractable, neurally implementable sampling approximations to inference and control.