Agent Decision-Making

Agent decision-making covers the mechanisms by which an AI agent selects among possible actions when multiple paths are available. This includes confidence calibration (how sure is the agent?), risk assessment (what could go wrong?), preference alignment (does this match what the user would want?), and escalation judgment (should I decide this alone or ask the human?). The quality of an agent's decision-making directly determines user trust — one bad autonomous decision can undo weeks of good ones.