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Texts in Computer Science Ser.: Fundamentals of Logic and Computation : With Practical Automated Reasoning and Verification by Zhe Hou (2021, Hardcover)

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About this product

Product Identifiers

PublisherSpringer International Publishing A&G

ISBN-103030878813

ISBN-139783030878818

eBay Product ID (ePID)9050421934

Product Key Features

Number of PagesX, 222 Pages

Publication NameFundamentals of Logic and Computation : with Practical Automated Reasoning and Verification

LanguageEnglish

SubjectHardware / General, Computer Science, Logic Design

Publication Year2021

TypeTextbook

Subject AreaComputers

AuthorZhe Hou

SeriesTexts in Computer Science Ser.

FormatHardcover

Dimensions

Item Weight18.3 Oz

Item Length9.3 in

Item Width6.1 in

Additional Product Features

Dewey Edition23

Number of Volumes1 vol.

IllustratedYes

Dewey Decimal511.3

Table Of Content1. Introduction to Logic.- 2. First-order Logic.- 3. Non-classical Logics.- 4. Automata Theory and Formal Languages.- 5. Turing Machines and Computability.- 6. Logic is Computation.

SynopsisThis textbook aims to help the reader develop an in-depth understanding of logical reasoning and gain knowledge of the theory of computation. The book combines theoretical teaching and practical exercises; the latter is realised in Isabelle/HOL, a modern theorem prover, and PAT, an industry-scale model checker. I also give entry-level tutorials on the two software to help the reader get started. By the end of the book, the reader should be proficient in both software. Content-wise, this book focuses on the syntax, semantics and proof theory of various logics; automata theory, formal languages, computability and complexity. The final chapter closes the gap with a discussion on the insight that links logic with computation. This book is written for a high-level undergraduate course or a Master's course. The hybrid skill set of practical theorem proving and model checking should be helpful for the future of readers should they pursue a research career or engineering informal methods.

LC Classification NumberQA76.9.C62