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математика
конечный акцептор
математика
поглощающее состояние
общая лексика
конечный автомат, КА
вычислительная модель, описывающая автомат с конечным числом состояний. Одно из них называется "начальным состоянием". Автомат переходит из одного состояния в другое под влиянием "управления", зависящего от внешних воздействий: получаемых сигналов или данных. Назначением каждого состояния является запоминание определённого момента истории системы. По типу управления КА делятся на детерминированные (находящиеся в каждый момент времени только в одном состоянии) и недетерминированные (могут одновременно находиться в нескольких состояниях). КА широко применяются в программировании, например в лексических анализаторах компиляторов
синоним
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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. 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. An FSM is defined by a list of its states, its initial state, and the inputs that trigger each transition. Finite-state machines are of two types—deterministic finite-state machines and non-deterministic finite-state machines. A deterministic finite-state machine can be constructed equivalent to any non-deterministic one.
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. 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; combination locks, which require the input of a sequence of numbers in the proper order.
The finite-state machine has less computational power than some other models of computation such as the Turing machine. The computational power distinction means there are computational tasks that a Turing machine can do but an FSM cannot. This is because an FSM's memory is limited by the number of states it has. A finite-state machine has the same computational power as a Turing machine that is restricted such that its head may only perform "read" operations, and always has to move from left to right. FSMs are studied in the more general field of automata theory.