Table 1.
Glossary
| Concept | Definition |
|---|---|
| Contextual controllability | The extent to which a context or environment allows an agent to exert control; exists in both nonsocial and social contexts |
| Perceived controllability | An agent’s estimation (i.e., internal model) of how much control or influence they could have; exists in both nonsocial and social contexts |
| Social controllability | The degree to which an agent’s actions can alter or influence other people (i.e., their actions, outcomes, beliefs, etc.) to achieve desired outcomes |
| Computational modeling | A mathematical formalization that characterizes or predicts a behavior or cognitive process, defined by parameters that vary across the population |
| Reinforcement learning | Learning behaviors that become optimized by maximizing expected outcomes or goals |
| Model-free (MF) learning | Trial-and-error learning that updates cached values of choices that become associated with a stimulus |
| Model-based (MB) learning | Learning that involves mental simulation of future states and representations of potential state transitions and outcomes (i.e., forming a cognitive map) |
| Cognitive map | A mental representation (“map”) of both spatial and non-spatial elements of the environment that depends on relational learning |