Computation Engineering: Applied Automata Theory and Logic / Edition 1

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Although it is critical in today's world that students who take automata theory and logic courses retain what they have learned and understand how to use their knowledge, many textbooks typically emphasize automata theory only, not logic, thus losing a valuable opportunity to tie these subjects together and reinforce learning. This textbook uses interactive tools throughout, such as simple BDD and SAT tools. By providing a blend of theory and practical applications the material is presented as both inviting and current. Key concepts are illustrated in multiple domains so that information is reinforced and students can begin to tie theory and logic together.

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Editorial Reviews

From the Publisher

From the reviews:

"One of the constant challenges faced by computer science faculty is how to tie in the theory of computing with applications. This text attempts to do just that … . Overall, this book is a good undergraduate theory text. … It includes exercises, with software tools to aid in visualization of key ideas. … The exercises are appropriate for an undergraduate-level class. … It is a good text … ." (M. D. Derk, Computing Reviews, December, 2006)

"The book under review shows, logic and automata theory can be combined to provide powerful tools for checking computer code … . There is no doubt that the book was written with great care and that it caters for a real need. … the book is written in a very lively style, which makes reading it quite pleasurable. … many nice applications of automata that are peppered throughout the book." (S. C. Coutinho, SIGACT News, Vol. 39 (3), 2008)

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Product Details

  • ISBN-13: 9780387244181
  • Publisher: Springer US
  • Publication date: 6/2/2006
  • Edition description: 2006
  • Edition number: 1
  • Pages: 472
  • Product dimensions: 6.14 (w) x 9.21 (h) x 1.13 (d)

Table of Contents

Foreword.- Introduction.- Mathematical Preliminaries.- Cardinalities and Diagonalization.- Binary Relations.- Mathematical Logic, Induction, Proofs.- Dealing with Recursion.- Strings and Languages.- Machines, Languages, DFA.- NFA and Regular Expressions.- Operations on Regular Machinery.- The Automaton/Logic Connection, Symbolic Techniques.- The 'Pumping' Lemma.- Context-free Languages.- Push-down Automata and Context-free Grammars.- Turing Machines.- Basic Undecidability Proofs.- Advanced Undecidability Proofs.- Basic Notions in Logic including SAT.- Complexity Theory and NP-Completeness.- DFA for Presburger Arithmetic.- Model Checking: Basics.- Model Checking: Temporal Logics.- Model Checking: Algorithms.- Conclusions.

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