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Introduction to Automata Theory, Languages, and Computation

TLDR
This book is a rigorous exposition of formal languages and models of computation, with an introduction to computational complexity, appropriate for upper-level computer science undergraduates who are comfortable with mathematical arguments.
Abstract
This book is a rigorous exposition of formal languages and models of computation, with an introduction to computational complexity. The authors present the theory in a concise and straightforward manner, with an eye out for the practical applications. Exercises at the end of each chapter, including some that have been solved, help readers confirm and enhance their understanding of the material. This book is appropriate for upper-level computer science undergraduates who are comfortable with mathematical arguments.

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Posted Content

Dynamic systems as tools for analysing human judgement

TL;DR: How the task demands of system identification and system control can be realised in these environments, and how psychometrically acceptable dependent variables can be derived are set out.
Book ChapterDOI

The ForSpec Temporal Logic: A New Temporal Property-Specification Language

TL;DR: The ForSpec Temporal Logic (FTL) is the new temporal property-specification logic of ForSpec, Intel's new formal specification language and includes constructs that enable the user to model multiple clock and reset signals, which is useful in the verification of hardware design.
Journal ArticleDOI

Incremental elaboration of scenario-based specifications and behavior models using implied scenarios

TL;DR: A process for elaborating system behavior that exploits the potential benefits of behavior modeling and scenario-based specifications yet ameliorates their shortcomings is proposed.
Journal ArticleDOI

The Complexity of Propositional Proofs

TL;DR: The complexity of propositional proofs has been investigated systematically only since the late 1960s as discussed by the authors, and substantial progress has been made in determining the relative complexity of proof systems, and in proving strong lower bounds for some restricted proof systems.
Book

Essentials of Artificial Intelligence

TL;DR: Based on the author's course at Stanford University, Essentials of Artificial Intelligence is an integrated, cohesive introduction to the field that combines clear presentations with humor and AI anecdotes.
References
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Book ChapterDOI

Representation of Events in Nerve Nets and Finite Automata

S. C. Kleene
TL;DR: This memorandum is devoted to an elementary exposition of the problems and of results obtained on the McCulloch-Pitts nerve net during investigations in August 1951.