Key components of simple reflex agents

[Ehsanuls55]

All AI agents rely on a few components to make decisions and take rule-based actions. Let’s dissect the four conceptual components to understand how they work together and how you can get the most out of AI for your business.

Sensors
Think of sensors as the eyes and ears of a simple reflex agent. They gather the latest information, aka the current state, of the observable environment t, so the agent knows what's going on around it.

This information can be anything: texts, images, sounds, radio frequencies, etc.

Example: Cameras, antennas, microphones and GPS are some of the standard sensors hospital mailing email list that use simple reflex agents

Knowledge Base

A knowledge base is where you store all the information you need to make decisions. When you receive an input, you consult the knowledge base to determine what to do next. You need to keep the knowledge base up to date with the latest company data to keep everything running smoothly.

Example: A customer service bot that has a knowledge base full of product details, return policies, and FAQs

Actuators
Once the agent makes a decision, actuators help it to act in real time. These tools allow the agent to interact with the environment and perform actions such as moving, speaking or sending a message.

Example: Speech synthesizers, text generators, robotic motors, and notification systems are examples of actuators that bring agent decisions to life

Processor
The processor is like the "brain" of the agent

It takes all the information from the sensors, checks the knowledge base, and decides what the agent should do next (it works very much like our human brain). **It uses a set of condition-action rules and decision-making algorithms to make those decisions.

Example: An automated vacuum cleaner with a processor that decides whether to go left or right when it encounters an obstacle or start cleaning if the floor is dirty

Bonus : The difference between machine learning and artificial intelligence