Logic in Computer Science

Description

Logic in Computer Science by Hantao Zhang is a comprehensive guide to formal reasoning, logic programming, and computational logic. This book explores Logic in Computer Science, providing a structured approach to understanding logical systems, proof techniques, and their applications in computing. Readers will develop a solid foundation in propositional logic, predicate logic, and formal verification.

The book introduces mathematical logic concepts, covering automated theorem proving, model checking, and satisfiability problems. It explains how logic is used in software verification, artificial intelligence, and database theory. Logic in Computer Science includes practical exercises to reinforce theoretical concepts through hands-on problem-solving.

Designed for computer science students, researchers, and software engineers, this book bridges the gap between logical theory and computational applications. It provides real-world examples of logic-based programming languages, such as Prolog, and their role in AI and knowledge representation. Readers will gain essential skills in reasoning about algorithms, correctness proofs, and computational complexity.

Textbook explores decision procedures, proof automation, and logical frameworks for modern computing.  Readers will learn to apply first-order logic and modal logic to complex computational problems.

This book is a must-read for professionals seeking expertise in formal methods, program analysis, and logic-based AI systems. It introduces advanced topics such as temporal logic, lambda calculus, and type systems in programming languages. Ebook prepares readers for in-depth research and innovation in logical reasoning for computing.

With clear explanations, practical examples, and problem sets, this book helps readers master computational logic and formal methods. Logic in Computer Science empowers individuals to analyze, verify, and optimize algorithms using logical frameworks. It is an indispensable resource for computer scientists, engineers, and AI researchers.