Define (Theory of Computation) 1.Finite Automata 2.Non-Finite Automata 3.Acceptor 4.Classifier 5.Transducer

Finite Automata: This is a simple computational model used in the theory of computation. It is a mathematical model of computation that can be in exactly one of a finite number of states at any given time. The automaton can change from one state to another in response to some external inputs; the change from one state to another is called a transition.

Non-Finite Automata: This is a more complex computational model that does not have a limit on the number of states it can be in at any given time. Non-finite automata can handle tasks that finite automata cannot, such as recognizing context-free languages.

Acceptor: In the theory of computation, an acceptor is a model of computation that takes an input string and decides whether the string is part of a certain set. If the string is in the set, the acceptor enters an accepting state. If the string is not in the set, the acceptor enters a rejecting state.

Classifier: In the context of machine learning, a classifier is a computational model that is used to determine the class of an input. In the theory of computation, a classifier could be seen as a function that maps an input to a class.

Transducer: In the theory of computation, a transducer is a type of automaton that produces output as well as transitioning between states. This is in contrast to acceptors, which only transition between states without producing output. Transducers are used in applications such as digital signal processing and control systems.