6 Types of AI Agents

Agents in Artificial Intelligence can be categorized into different types based on how agent’s actions affect their perceived intelligence and capabilities, such as:

1. Simple Reflex Agent:

A simple reflex agent is an AI system that follows pre-defined rules to make decisions. It only responds to the current situation without considering the past or future ramifications.

2. Model-based Reflex Agent:

A model-based reflex performs actions based on a current percept and an internal state representing the unobservable word. It updates its internal state based on two factors:

• How the world evolves independently of the agent
• How does the agent’s action affect the world

3. Goal-based Agents:

Goal-based agents are AI agents that use information from their environment to achieve specific goals. They employ search algorithms to find the most efficient path towards their objectives within a given environment.

4. Utility-based Agents:

Utility-based agents are AI agents that make decisions based on maximizing a utility function or value. They choose the action with the highest expected utility, which measures how good the outcome is.

5. Learning Agents:

An AI learning agent is a software agent that can learn from past experiences and improve its performance. It initially acts with basic knowledge and adapts automatically through machine learning.

6. Hierarchical Agents

Hierarchical agents are useful in various applications such as robotics, manufacturing, and transportation. They excel in coordinating and prioritizing multiple tasks and sub-tasks.

Check out the original article