1. AUTOMATA THEORY Reference Introduction to Automata Theory Languages and Computation Hopcraft, Ullman and Motwani

2. Automata Theory Automata theory is the abstract computing device or machine. Finite automata involves states and transitions among states in response to inputs. Finites automata are a useful model for many important kinds of h/w and s/w.

3. Why Study Automata Theory?  There are several reasons why the study of automata and complexity is an important part of the core of Computer science.

4. Why Study Automata Theory? Some of the most important kinds : 1.Software for designing and checking the behavior of digital circuits. 2.The “lexical analyzer” of a typical compiler, that is, the compiler component that breaks the input text into logical units, such as identifiers, keywords and punctuations.

5. Why Study Automata Theory? 3. Software for scanning large bodies of text, such as collections of web pages, to find occurrences of words, phrases, or other patterns. 4. Software for verifying systems of all types that have a finite number of distinct states, such as communications protocols or protocols for secure exchange of information.

6. A finite automata modeling on/off switch The devices remember whether it is in the “on” state or “off” state and it allows the user to press a button whose effect is different. off start on push

7.  The states are represented by circles, In this example two states “on” and “off”.  One of the states is designated by the start states.  It is often necessary to indicate one or more states as “final” or “accepting” states. A finite automata modeling on/off switch

8.  This figure shows finite automation that could be part of a lexical analyzer. The job of this automation is to recognize the keyword then. A finite Automation modeling recognition of then t th the then t start he n

9.  A finite Automation has a set of states and its control moves from one state to another in response to external inputs.  One of the crucial distinction among classes of finite automata is whether that control is “deterministic” meaning that the automation cannot be in more than one state at one time or “nondeterministic” meaning that it may be in several states at one. Introduction to Finite Automata

10.  Automata and Complexity  What can a computer do? ---  Computability: decidable problems.  Studying problems which can be solved by computer, called decidable problems.  Decidability  Decidability is the main topic in computability. Automata and Complexity

11.  Automata and Complexity  What can a computer do efficiently? ---  Computational Complexity  Computational Complexity: tractable problems intractableproblems  Studying tractable problems solvable with some slowly growing function (like polynomial) of input size, & intractable problems solvable with fast growing function (like exponential).  Intractability  Intractability is the main topic of computational complexity. Automata and Complexity

12.  Three basic concepts  Alphabet  Alphabet --- a set of symbols  Strings  Strings --- a sequence of symbols from an alphabet  Language  Language --- a set of strings from the same alphabet Central Concepts of Automata Theory

13.  Alphabets :  finite, nonempty set of symbols.  Conventional notation ---   Ex: 1. ∑ = {0,1} the binary alphabet,  2. ∑ = {a, b, c,... z}  3. The set of all ASCII characters Central Concepts of Automata Theory

14.  Strings :  finite sequences of symbols chosen from some alphabet  Ex: 01101 is string from the binary alphabet ∑ = {0,1}.  Empty string   Empty string  --- a string with zero occurrences of symbols  Length |w| positions  Length |w| of string w --- the number of positions for symbols in w  Examples --- |0111|=4, |  |=0, … Contd.

15.  Powers of an Alphabets: ∑º={€} ∑1={0,1} ∑2={00,01,10,11} ∑3={000,001,010,011,100,101,110,111} Central Concepts of Automata Theory

16.  Language : A language is set of strings all of which chosen from ∑*. Example: 1.The language of all strings consisting of n 0’s followed by n 1’s: { €,01,0011,000111,….. } Central Concepts of Automata Theory

17. 2.The set of strings of 0’s and 1’s with an equal number each: {€,01,10,0011,0101,1001…..} 3.The set of binary number whose value is prime: {10,11,101,111,1011,…..} Central Concepts of Automata Theory

18.  Problem:  In automata theory, a problem is the question of deciding whether a given string is a member of some particular language. Central Concepts of Automata Theory

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