Theory of Computation TOC Automata and Its Power.
Theory of Computation TOC Automata and Its Power.
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Contents [hide]
- 1
Theory of Computation (TOC)- 1.1
Automata and Its Power - 1.2
What is Automata? - 1.3
Why Study Automata? - 1.4
Types of Automata & Their Power (Hierarchy) - 1.5
1. Finite Automata (FA): - 1.6 2. Pushdown Automata (PDA):
- 1.7 3. Linear Bounded Automata (LBA):
- 1.8 4. Turing Machine (TM):
- 1.9
Chomsky Hierarchy (Power of Automata) - 1.10
What Automata Cannot Do: - 1.11
Applications of Automata:
- 1.1
Theory of Computation (TOC)
Automata and Its Power
What is Automata?
An Automaton (plural: Automata) is an abstract machine that takes input strings and either accepts or rejects them based on a set of rules (transitions).
It is a mathematical model used to describe and analyze computation and languages.
Why Study Automata?
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To understand what computers can and cannot do
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To classify languages by their complexity
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It forms the basis for compiler design, parsing, and language recognition
Types of Automata & Their Power (Hierarchy)
| Automaton Type | Language Class | Memory Used | Example Language |
|---|---|---|---|
| Finite Automata (FA) | Regular Languages | No memory | a*b, (ab)* |
| Pushdown Automata (PDA) | Context-Free Languages | Stack | aโฟbโฟ |
| Linear Bounded Automata (LBA) | Context-Sensitive Languages | Bounded tape | aโฟbโฟcโฟ |
| Turing Machine (TM) | Recursively Enumerable | Infinite tape | Any computable language |
1. Finite Automata (FA):
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Types: DFA (Deterministic), NFA (Non-deterministic)
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Power: Can recognize regular languages
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Limitation: Cannot count or match nested patterns
2. Pushdown Automata (PDA):
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Adds a stack to FA
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Recognizes context-free languages
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Example: Valid parentheses
(()())
3. Linear Bounded Automata (LBA):
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A restricted Turing machine with limited tape
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Recognizes context-sensitive languages
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More powerful than PDA
4. Turing Machine (TM):
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Most powerful automaton
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Infinite memory (tape)
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Can simulate any computation
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Basis for real-world computers
Chomsky Hierarchy (Power of Automata)
What Automata Cannot Do:
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FA cannot recognize
aโฟbโฟ -
PDA cannot recognize
aโฟbโฟcโฟ -
TM cannot solve undecidable problems (like Halting Problem)
Applications of Automata:
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Designing Compilers (Lexical analyzer uses FA)
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Syntax checking in programming languages (using PDA)
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Natural Language Processing
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Pattern matching and regular expressions
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AI algorithms in rule-based systems
Would you like:
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Visual diagrams of these automata?
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Examples and solved problems?
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PDF notes or Hindi explanation?
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