Abstract

Neuroscience has illuminated the neural basis of decision-making, providing evidence that supports specific models of decision-processes. These models typically are quite mechanical, the realization of abstract mathematical “diffusion to bound” models. While effective decision-making seems to be essential for sophisticated behavior, central to an account of freedom, and a necessary characteristic of self-governing systems, it is not clear how the simple models neuroscience inspires can underlie the notion of self-governance. Drawing from both philosophy and neuroscience I explore ways in which the proposed decision-making architectures can play a role in systems that can reasonably be thought of as “self-governing”.