Automata theory (also known as Theory Of Computation) is a theoretical branch of Computer Science and Mathematics, which mainly deals with the logic of computation with respect to simple machines, referred to as automata.
Theory Of ComputationSome more points regarding the theory of computation:
Automata* enables the scientists to understand how machines compute the functions and solve problems.
The main motivation behind developing Automata Theory was to develop methods to describe and analyse the dynamic behavior of discrete systems.
The field is divided into three major branches: automata theory, computability theory and computational complexity theory.
In order to perform a rigorous study of computation, computer scientists work with a mathematical abstraction of computers called a model of computation. There are several models in use, but the most commonly examined is the Turing machine.
Automata is originated from the word "Automaton" which is closely related to "Automation".
This automaton consists of: 1. states (represented in the figure by circles), 2. transitions (represented by arrows).
As the automaton sees a symbol of input, it makes a transition (or jump) to another state, according to its transition function (which takes the current state and the recent symbol as its inputs). Uses of Automata: compiler design and parsing.
MULTIPLE CHOICE QUESTION
Try yourself: Automata word has originated from which word?
A
Automaton
B
Automation
C
Automatic
D
Automobile
Correct Answer: A
The word automata has originated from the Greek word 'automaton'. The word automaton in Greek means 'self-moving' or self, one's own, by oneself, of oneself.
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Basics of Formal Language Theory
Our view of languages is that a language is a set of strings. In turn, a string is a finite sequence of letters from some alphabet. These concepts are defined rigorously as follows.
1. Symbol:
Symbol is the smallest building block, which can be any alphabet, letter or any picture.
2. Alphabets (Σ):
Alphabets are set of symbols, which are always finite.
3. String:
String is a finitesequence of symbols from some alphabet. String is generally denoted as w and length of a string is denoted as |w|.
Empty string is the string with zero occurrence of symbols, represented as ε.
Number of Strings (of length 2) that can be generated over the alphabet {a, b} -
Length of String |w| = 2
Number of Strings = 4
Conclusion: For alphabet {a, b} with length n, number of strings can be generated = 2n. Note: If the number of Σ's is represented by |Σ|, then number of strings of length n, possible over Σ is |Σ|n.
MULTIPLE CHOICE QUESTION
Try yourself: How many strings of length 3 can be generated over the alphabet {0, 1}?
A
4
B
6
C
8
D
9
Correct Answer: C
- For an alphabet {0, 1} with a length of 3, the number of strings that can be generated is 2^3 = 8. - Each position in the string can be filled with 2 choices (0 or 1), and since there are 3 positions, the total number of possible strings is 2^3 = 8.
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4. Language:
A language is a set of strings, chosen from some Σ* or we can say- 'A language is a subset of Σ* '. A language which can be formed over ' Σ ' can be Finite or Infinite.
5. Powers of 'Σ':
Say Σ = {a,b} then Σ0 = Set of all strings over Σ of length 0. {ε} Σ1 = Set of all strings over Σ of length 1. {a, b} Σ2 = Set of all strings over Σ of length 2. {aa, ab, ba, bb} i.e. |Σ2|= 4 and Similarly, |Σ3| = 8 Σ* is a Universal Set. Σ* = Σ0 U Σ1 U Σ2 .......... = {ε} U {a, b} U {aa, ab, ba, bb} = ............. //infinite language
MULTIPLE CHOICE QUESTION
Try yourself: Which of the following correctly defines a language in the context of theoretical computer science?
A
A language is a set of numbers chosen from a universal set.
B
A language is a set of strings chosen from a universal set.
C
A language is a set of colors chosen from a universal set.
D
A language is a set of animals chosen from a universal set.
Correct Answer: B
- A language in theoretical computer science refers to a set of strings chosen from a specific alphabet, not numbers, colors, or animals. - The strings in a language can be finite or infinite, depending on the rules and constraints of the language. - Therefore, Option B is the correct definition of a language in this context.
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6. Convention:
Capital letters A, B, C, L, etc. with or without subscripts are normally used to denote languages.
Ans. The theory of computation is a branch of computer science that deals with the study of how problems can be solved using algorithms and the computational models that can be used to represent and analyze these algorithms. It explores the fundamental concepts and principles underlying computation and aims to understand the limitations and capabilities of different computational devices.
2. What is formal language theory?
Ans. Formal language theory is a subfield of the theory of computation that focuses on the study of formal languages, which are sets of strings defined over a finite alphabet. It investigates the formal properties of these languages, such as their syntax, grammar, and structure, and explores the relationships between different types of formal languages and their associated automata.
3. What are the basics of formal language theory?
Ans. The basics of formal language theory involve understanding the concepts of alphabets, strings, and formal languages. An alphabet is a finite set of symbols, and a string is a finite sequence of symbols from an alphabet. A formal language is a set of strings formed from an alphabet. Formal language theory also includes the study of formal grammars, which are used to generate and describe languages, and automata, which are computational models that recognize and process these languages.
4. What are the main components of the theory of computation?
Ans. The theory of computation consists of three main components: formal languages, automata theory, and computability theory. Formal languages involve the study of sets of strings defined over a finite alphabet. Automata theory focuses on the design and analysis of abstract computational devices, such as finite automata, pushdown automata, and Turing machines. Computability theory explores the concept of what can be computed and what cannot be computed by any computational device.
5. Why is the theory of computation important in computer science?
Ans. The theory of computation is important in computer science as it provides a theoretical foundation for understanding and analyzing the capabilities and limitations of different computational models. It helps in designing efficient algorithms, developing programming languages, and solving complex computational problems. The theory of computation also plays a crucial role in areas such as artificial intelligence, cryptography, and software engineering.
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