Introduction to Automata Theory and Formal Languages
A Logic Building and Problem-solving Approach
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Product details:
- Edition number 1
- Publisher Chapman and Hall
- Date of Publication 7 July 2026
- ISBN 9781041109570
- Binding Paperback
- No. of pages348 pages
- Size 254x178 mm
- Language English
- Illustrations 239 Illustrations, black & white; 239 Line drawings, black & white; 44 Tables, black & white 700
Categories
Short description:
This book provides a structured introduction to automata theory, bridging theoretical foundations with practical applications. An essential resource for students and professionals in computer science, providing the logical foundation and skills needed for careers in theoretical computing, artificial intelligence, and software engineering.
MoreLong description:
This book provides a structured introduction to automata theory, bridging theoretical foundations with practical applications. Designed for students, researchers, and professionals, this book explores fundamental concepts like deterministic and non-deterministic finite automata, context-free grammars, pushdown automata, and Turing machines. It emphasises problem-solving, critical thinking, and real-world applications in areas such as compiler design, natural language processing, and network protocols.
This book features the following:
• Offers step-by-step learning, progresses from DFA and NFA to CFG, PDA, and Turing machines, ensuring clarity and depth.
• Offers step-by-step explanations for automata design, language properties, and computational problem-solving.
• Covers automata applications in lexical analysis, pattern matching, network protocols, and AI.
• Challenges readers to apply concepts beyond memorization, fostering analytical skills, uses graphical representations to enhance understanding of automata transitions and operations.
• Demonstrates how automata theory influences cybersecurity, software development, and computational linguistics.
This book is an essential resource for students and professionals in computer science, providing the logical foundation and problem-solving skills needed for careers in theoretical computing, artificial intelligence, and software engineering.
MoreTable of Contents:
1. Finite Automata 2. Kleene’s theorem 3. Grammars and Languages 4. Parsing 5. Push Down Automata 6. Context-Free Languages and non Context-Free Languages 7. Turing Machines and Variations 8. Real-World Applications and Case Studies
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