Fundamentals of Logic and Computation | With Practical Automated Reasoning and Verification

Zhe Hou

ISBN 10: 3030878813 / ISBN 13: 9783030878818

Published by Springer, 2021

About this Item

Fundamentals of Logic and Computation | With Practical Automated Reasoning and Verification | Zhe Hou | Buch | x | Englisch | 2021 | Springer | EAN 9783030878818 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.

Seller Inventory # 120488534

Bibliographic Details

• Title: Fundamentals of Logic and Computation | With Practical Automated Reasoning and Verification
• Publisher: Springer
• Publication Date: 2021
• Language: English
• ISBN 10: 3030878813
• ISBN 13: 9783030878818
• Binding: Buch
• Condition: Neu
• Dimensions: 241W x 160H x 19D millimeters 241 millimeters width by 160 millimeters height by 19 millimeters depth
• Weight: 518 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

This 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.

About the Author

Zhe Hou is a lecturer in the School of Information and Communication Technology at Griffith University, Nathan, Australia.  His research pursuits include explainable AI, autonomous systems, formal verification, and automated reasoning.