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A finite-state machine (FSM) or finite-state automaton (FSA, plural: automata), finite automaton, or simply a state machine, is a mathematical model of computation.It is an abstract machine that can be in exactly one of a finite number of states at any given time.
In the theory of computation, a branch of theoretical computer science, a deterministic finite automaton (DFA)—also known as deterministic finite acceptor (DFA), deterministic finite-state machine (DFSM), or deterministic finite-state automaton (DFSA)—is a finite-state machine that accepts or rejects a given string of symbols, by running ...
A directed graph. A classic form of state diagram for a finite automaton (FA) is a directed graph with the following elements (Q, Σ, Z, δ, q 0, F): [2] [3]. Vertices Q: a finite set of states, normally represented by circles and labeled with unique designator symbols or words written inside them
UML state machine is an object-based variant of Harel statechart, [2] adapted and extended by UML. [1] [3] The goal of UML state machines is to overcome the main limitations of traditional finite-state machines while retaining their main benefits.
An automaton with a finite number of states is called a finite automaton (FA) or finite-state machine (FSM). The figure on the right illustrates a finite-state machine, which is a well-known type of automaton. This automaton consists of states (represented in the figure by circles) and transitions (represented by arrows).
As Moore and Mealy machines are both types of finite-state machines, they are equally expressive: either type can be used to parse a regular language.. The difference between Moore machines and Mealy machines is that in the latter, the output of a transition is determined by the combination of current state and current input (as the domain of ), as opposed to just the current state (as the ...
Finite-state machine-based programming is generally the same, but, formally speaking, does not cover all possible variants, as FSM stands for finite-state machine, and automata-based programming does not necessarily employ FSMs in the strict sense. The following properties are key indicators for automata-based programming:
JFLAP allows one to create and simulate structures, such as programming a finite-state machine, and experiment with proofs, such as converting a nondeterministic finite automaton (NFA) to a deterministic finite automaton (DFA). JFLAP is developed and maintained at Duke University, with support from the National Science Foundation since 1993.