The agent changes its behavior, knowledge, or strategy based on new experience and data — adaptation is the visible result of learning. Mechanisms span reinforcement, supervised, unsupervised, and few-/zero-shot learning, up to self-modifying systems. Use for agents in dynamic, uncertain, or evolving environments that need personalization, continuous improvement, or to handle novel situations autonomously.
