automata
false
A Turing machine can be used to solve any holding problems
false
a language is recursively enumerable if and only there exist a finite automation that, when given an input, can eventually generate all strings belonging to on its execution.
true
a non-deterministic finite automata can have multiple transitions from a state for a given input symbol, allowing for more than one possible computation paths.
true
alan turing conceived the first "infinite" (or unbounded) model of computation
true
automata theory is the basis for the theory of formal languages
false
charles babbage extended the automata theory idea of complexity hierarchy, which led to the concept of formal grammar.
type 0
chomsky hierarchy generated by a turing machine
type 3
chomsky hierarchy that can be recognize by finite automata
type 1
chomsky hierarchy that refers to context sensitive languages
type 3
chomsky hierarchy that represents languages with straightforward, repetitive patterns and limited complexity
true
context free languages are a higher level of formal language complexity compared to regular languages
true
context free languages are widely used in the field of formal languages, parsing algorithms, and compiler design to analyze and generate syntactic structures
true
despite the non-determinism, nfas and dfas are equivalent in terms of language recognition
true
finite state machines are ideal computation models for a small amount of memory, and do not maintain memory.
true
in dfa, there is exactly one transition from each state for each symbol in the input alphabet
false
languages cannot be defined by any kind of automation
true
push down automata is an extension of finite automata that incorporates a stack, a data structure that allows for memory beyond what is available in a finite automation
true
regular language can be recognizes and described using finite automata
true
regular languages are the simplest type of formal language
Type 3
they are generated by regular grammars
true
turing machines are used to formalize the notion of an algorithm and provide a theoretical framework for studying the properties of computation.
true
Every NFA can be converted to DFAs
false (not all)
Every context-sensitive language is also a recursive enumerable language
false
NFAs are more powerful than Deterministic DFAs
false
Nfa can be used to recognize any non-regular language
true
The set of all the programming languages is in the Chomsky hierarchy