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In the [[theory of computation]], a '''generalized nondeterministic finite automaton''' ('''GNFA
[[nondeterministic finite automaton
▲[[nondeterministic finite automaton|NFA]] where each transition is labeled with any [[regular expression]]. The GNFA reads blocks of symbols from the input which constitute a string as defined by the regular expression on the transition. There are several differences between a standard finite state machine and a generalized nondeterministic finite state machine. A gNFA must have only one start state and one accept state, and these cannot be the same state, whereas a NFA or DFA both may have several accept states, and the start state can be an accept state. A gNFA must have only one transition between any two states, whereas a NFA or DFA both allow for numerous transitions between states. In a gNFA, a state has a single transition to every state in the machine, although often it is a convention to ignore the transitions that are labelled with the empty set when drawing generalized nondeterministic finite state machines.
==Formal definition==
A GNFA can be defined as a [[n-tuple|5-tuple]], (''S'', Σ, ''T'', ''s'', ''a''), consisting of
* a [[finite set]] of states (''S'');
* a finite set called the alphabet (Σ);
* a transition [[function (mathematics)|function]] (''T'' : (''S''
* a start state (''s'' ∈ ''S'');
* an accept state (''a'' ∈ ''S'');
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==References==
* Yo-Sub Han and [[Derick Wood]]. "The Generalization of Generalized Automata: Expression Automata." In: 9th International [[Conference on Implementation and Application of Automata]], CIAA 2004, Kingston, Canada, July 22–24, 2004, Revised Selected Papers, [[LNCS]] 3317, pp. 156–166. {{doi|10.1007/b105090}}
* [[Michael Sipser]]. 2006. Introduction to the Theory of Computation (2nd ed.). International Thomson Publishing.▼
▲* Michael Sipser. 2006. Introduction to the Theory of Computation (2nd ed.). International Thomson Publishing.
==External links==
* A graphical description of GNFAs and the process of converting an NFA to a regular expression using GNFAs, can be found at [http://www.cs.sunysb.edu/~cse350/slides/rgExp2.pdf]
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