The document discusses different types of intelligent agents. It defines an agent as something that perceives its environment, acts upon it, and maps perceptions to actions. The document then describes ideal rational agents, different types of agent architectures including table-based, reflex, model-based, goal-based, utility-based, and learning agents. It also covers properties of task environments and how learning agents improve through experience.