Connectionism Explained for Beginners

Connectionism is a method in artificial intelligence that tries to imitate the thinking and learning of the brain.

It works with many small units that are connected like nerve cells.

These connections help the system process information and recognize patterns.

You can imagine it like a large network of many points working together.

Connectionist models are often used to understand how people learn and think, and to make computers smarter.