Algorithmic state machine

Okay kiddo, let's talk about something called an algorithmic state machine.

Imagine you have a toy car, and you want to teach it how to move forward and backward. You create a set of instructions, like "push the car forward" and "pull the car backward."

Now, an algorithmic state machine is like a big set of instructions for a computer. It tells the computer what to do and when to do it, kind of like how you tell the toy car what to do.

But there's more to it than that. The algorithmic state machine can also keep track of what state it's in, kind of like a little kid who might be happy, sad, or angry at any given moment. This means that the machine can make different decisions based on what state it's in.

For example, imagine you have a smart lamp that can turn on or off based on different factors, like the time of day or if someone is in the room. The algorithmic state machine can keep track of what state the lamp is in, like "on" or "off," and then make decisions based on the inputs it receives, like a motion sensor detecting that someone has entered the room.

So, to sum it up, an algorithmic state machine is like a big set of instructions that tells a computer what to do and when to do it, while also keeping track of what state it's in so it can make different decisions based on that state. Just like how you tell your toy car what to do and how you might feel differently based on what's happening around you.