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1
Introduction to Automata
Theory
Page 2


1
Introduction to Automata
Theory
2
What is Automata Theory?
n Study of abstract computing devices, or
“machines”
n Automaton = an abstract computing device
n Note: A “device” need not even be a physical
hardware!
n A fundamental question in computer science:
n Find out what different models of machines can do
and cannot do
n The theory of computation
n Computability vs. Complexity
Page 3


1
Introduction to Automata
Theory
2
What is Automata Theory?
n Study of abstract computing devices, or
“machines”
n Automaton = an abstract computing device
n Note: A “device” need not even be a physical
hardware!
n A fundamental question in computer science:
n Find out what different models of machines can do
and cannot do
n The theory of computation
n Computability vs. Complexity
3
Alan Turing (1912-1954)
n Father of Modern Computer
Science
n English mathematician
n Studied abstract machines called
Turing machines even before
computers existed
n Heard of the Turing test?
(A pioneer of automata theory)
Page 4


1
Introduction to Automata
Theory
2
What is Automata Theory?
n Study of abstract computing devices, or
“machines”
n Automaton = an abstract computing device
n Note: A “device” need not even be a physical
hardware!
n A fundamental question in computer science:
n Find out what different models of machines can do
and cannot do
n The theory of computation
n Computability vs. Complexity
3
Alan Turing (1912-1954)
n Father of Modern Computer
Science
n English mathematician
n Studied abstract machines called
Turing machines even before
computers existed
n Heard of the Turing test?
(A pioneer of automata theory)
4
Theory of Computation: A
Historical Perspective
1930s
 Alan Turing studies Turing machines
 Decidability
 Halting problem
1940-1950s
“Finite automata” machines studied
 Noam Chomsky proposes the
“Chomsky Hierarchy” for formal
languages
1969
Cook introduces “intractable” problems
or “NP-Hard” problems
1970-
Modern computer science: compilers,
computational & complexity theory evolve
Page 5


1
Introduction to Automata
Theory
2
What is Automata Theory?
n Study of abstract computing devices, or
“machines”
n Automaton = an abstract computing device
n Note: A “device” need not even be a physical
hardware!
n A fundamental question in computer science:
n Find out what different models of machines can do
and cannot do
n The theory of computation
n Computability vs. Complexity
3
Alan Turing (1912-1954)
n Father of Modern Computer
Science
n English mathematician
n Studied abstract machines called
Turing machines even before
computers existed
n Heard of the Turing test?
(A pioneer of automata theory)
4
Theory of Computation: A
Historical Perspective
1930s
 Alan Turing studies Turing machines
 Decidability
 Halting problem
1940-1950s
“Finite automata” machines studied
 Noam Chomsky proposes the
“Chomsky Hierarchy” for formal
languages
1969
Cook introduces “intractable” problems
or “NP-Hard” problems
1970-
Modern computer science: compilers,
computational & complexity theory evolve
5
Languages & Grammars
Or “words”
Image source: Nowak et al. Nature, vol 417, 2002
n Languages: “A language is a
collection of sentences of
finite length all constructed
from a finite alphabet of
symbols”
n Grammars: “A grammar can
be regarded as a device that
enumerates the sentences of
a language” - nothing more,
nothing less
n N. Chomsky, Information
and Control, Vol 2, 1959
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FAQs on PPT: Introduction to Automata Theory - Theory of Computation - Computer Science Engineering (CSE)

1. What is automata theory in computer science engineering?
Ans. Automata theory in computer science engineering is a branch of theoretical computer science that deals with the study of abstract machines and their computational capabilities. It involves the understanding and analysis of mathematical models called automata, which are used to describe the behavior of systems, such as computer programs or algorithms.
2. What are the main types of automata in automata theory?
Ans. The main types of automata in automata theory are finite automata (FA), pushdown automata (PDA), and Turing machines (TM). Finite automata are the simplest form of automata and have a finite number of states. Pushdown automata have an added stack memory, allowing them to handle context-free languages. Turing machines are the most powerful type of automata and can simulate any algorithm.
3. How is automata theory relevant to computer science engineering?
Ans. Automata theory is highly relevant to computer science engineering as it provides the foundation for understanding the limits and capabilities of computers and algorithms. It helps in the design and analysis of efficient algorithms, programming languages, and compilers. Automata theory also plays a significant role in areas such as formal language theory, artificial intelligence, and software engineering.
4. What is the difference between deterministic and non-deterministic automata?
Ans. In deterministic automata, given a specific input, there is only one possible transition for each state. This means that the behavior of the automaton is completely determined by its current state and the input symbol. On the other hand, non-deterministic automata can have multiple possible transitions for a given input and state. They can explore different paths simultaneously, making them more expressive but also more complex to analyze.
5. How can automata theory be applied in real-world scenarios?
Ans. Automata theory finds applications in various real-world scenarios. It is used in the design of compilers and interpreters for programming languages, where automata are employed to analyze and transform source code. Automata theory is also applied in the field of natural language processing, where it helps in the development of language recognition systems. Additionally, automata theory is utilized in modeling and analyzing communication protocols, robotics, and DNA sequence analysis.
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