Types of Agents
A goal-based agent acts with a specific objective in mind. It evaluates multiple possible scenarios to choose the actions that maximize the likelihood of achieving the goal.
Commonly used in intelligent logistics and automated planning.
Simple reflex agents are AI programs that respond directly to external stimuli based on predefined rules (condition → action).
They retain no memory of past states and are ideal for predictable environments.
These intelligent AI agents incorporate a model of the environment that allows them to interpret current perceptions while considering past information.
They enhance responsiveness through an internal state memory, making their decisions more accurate and context-aware.
These intelligent agents use a utility function to compare and choose between different actions, selecting the one that provides the best overall outcome according to defined criteria.
They are particularly useful for AI systems operating in complex and dynamic environments.


