AI agents can be understood as a hierarchy of increasing intelligence and autonomy. At the simplest level, reactive agents respond instantly to environmental changes, while reflex agents add short-term memory to guide decisions. Goal-based agents plan toward specific outcomes, utility agents optimize actions based on measurable preferences, and learning agents evolve by improving their strategies over time. Together, these categories illustrate how artificial agents progress from basic reaction to adaptive, goal-directed reasoning.
