A Decision Architecture for Safety Computations
Accurately estimating safety is critical to pursuing nondefensive survival behaviors. However, little attention has been paid to how the human brain computes safety. We conceptualize a model that consists of two components: (i) threat-oriented evaluations that focus on threat value, imminence, and predictability; and (ii) self-oriented evaluations that focus on the agent’s experience, strategies, and ability to control the situation. Our model points to the dynamic interaction between these two components as a mechanism of safety estimation.

Aiyana is an Indigenous educator from Alberta, with a background in environmental science and community wellness programs. She volunteers as an author to explore how traditional knowledge intersects with modern neuroscience to unlock human resilience and potential.