The computational power distinction means there are computational tasks that a Turing machine can do but an FSM cannot. The finite-state machine has less computational power than some other models of computation such as the Turing machine. Simple examples are vending machines, which dispense products when the proper combination of coins is deposited, elevators, whose sequence of stops is determined by the floors requested by riders, traffic lights, which change sequence when cars are waiting, and combination locks, which require the input of a sequence of numbers in the proper order. The behavior of state machines can be observed in many devices in modern society that perform a predetermined sequence of actions depending on a sequence of events with which they are presented. A deterministic finite-state machine can be constructed equivalent to any non-deterministic one. Finite-state machines are of two types- deterministic finite-state machines and non-deterministic finite-state machines. An FSM is defined by a list of its states, its initial state, and the inputs that trigger each transition. The FSM can change from one state to another in response to some inputs the change from one state to another is called a transition. It is an abstract machine that can be in exactly one of a finite number of states at any given time. (Clicking on each layer gets an article on that subject)Ī finite-state machine ( FSM) or finite-state automaton ( FSA, plural: automata), finite automaton, or simply a state machine, is a mathematical model of computation.
0 kommentar(er)
