Regular languages are recognized by which computational model?

Regular languages are recognized by which computational model?

• A. Finite Automata
• B. Pushdown Automata
• C. Turing Machines
• D. Linear Bounded Automata

Answer: (A)

A finite automaton processes input with a fixed set of states and transitions between them, using no extra memory beyond its current state. This limited memory is exactly what regular languages require: patterns that can be decided by scanning the input once and ending in an accepting state if the string fits the pattern. Every regular language can be captured by some finite automaton, and every finite automaton defines a regular language, establishing a precise match between the two. Pushdown automata add a stack, giving them unbounded memory to track nested structures, so they recognize context-free languages and more. Turing machines (with their tape) and linear bounded automata (with a restricted tape) are even more powerful and can simulate finite automata but can recognize languages beyond the regular ones.

A finite automaton processes input with a fixed set of states and transitions between them, using no extra memory beyond its current state. This limited memory is exactly what regular languages require: patterns that can be decided by scanning the input once and ending in an accepting state if the string fits the pattern. Every regular language can be captured by some finite automaton, and every finite automaton defines a regular language, establishing a precise match between the two.

Pushdown automata add a stack, giving them unbounded memory to track nested structures, so they recognize context-free languages and more. Turing machines (with their tape) and linear bounded automata (with a restricted tape) are even more powerful and can simulate finite automata but can recognize languages beyond the regular ones.