14 Oct Types of AI Agents

AI Agents can be categorized by their complexity and capabilities, from simple to highly advanced. Let us see them one by one.

• Simple Reflex Agents
• Model-Based Reflex Agents
• Goal-Based Agents
• Utility-Based Agents

Video Tutorial

Let us understand the AI Agents types:

Simple Reflex Agents

Acts based on predefined rules and current conditions only.
Example: A thermostat that turns on heating when the temperature drops.

Model-Based Reflex Agents

Maintains an internal model of the world to handle partially observable environments.
Example: A robot vacuum that remembers cleaned areas and avoids obstacles.

Goal-Based Agents

Considers different actions and plans sequences to achieve a specific goal.
Example: A navigation system that finds the fastest route to a destination.

Utility-Based Agents

Chooses the action that maximizes a “utility” or reward, optimizing for the best outcome.
Example: A navigation system that recommends a route balancing time, fuel cost, and tolls.

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