What is a Finite State Machine (FSM)?
Before we talk about merger graphs, it’s important to understand the basics of Finite State Machines (FSMs). An FSM is like a computer model that works based on its current state and the input it gets. It moves from one state to another according to specific rules. FSMs are used in different fields like software engineering, language studies, and artificial intelligence. They help us describe how a system behaves and make it easier to design smart algorithms.
Merger Graph
In the world of computer science, there’s something called a Finite State Machine (FSM). It’s basically a mathematical model that helps us understand how things behave when they have different states. It’s used to describe all sorts of systems like computer programs, circuits, and language processing algorithms.
But when FSMs get bigger and more complicated, it becomes harder to keep track of them and understand how they work. That’s where something called a merger graph comes in. It’s a concept that helps us manage and analyze complex FSMs more easily.
So, in simpler terms, a Finite State Machine is a way to understand how things change when they’re in different states, and a merger graph helps us handle the really complicated ones.