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This textbook introduces formal languages and automata theory for upper-level undergraduate or beginning graduate students. While it contains the traditional mathematical development usually employed in computational theory courses, it is also quite different from many of them. Machines, grammars, and algorithms developed as part of a constructive proof are intended to be rendered as programs. The book is divided into four parts that build on each other. Part I reviews fundamental concepts. It introduces programming in FSM and reviews program design. In addition, it reviews essential mathematical background on sets, relations, and reasoning about infinite sets. Part II starts the study of formal languages and automata theory in earnest with regular languages. It first introduces regular expressions and shows how they are used to write programs that generate words in a regular language. Given that regular expressions generate words, it is only natural to ask how a machine can recognize words in a regular language. This leads to the study of deterministic and nondeterministic finite-state machines. Part III starts the exploration of languages that are not regular with context-free languages. It begins with context-free grammars and pushdown automata to generate and recognize context-free languages, and it ends with a discussion of deterministic pushdown automata and illustrates why these automatons are fundamentally different from nondeterministic pushdown automata. Part IV eventually explores languages that are not context-free, known as context-sensitive languages. It starts by discussing the most powerful automaton known to mankind: the Turing machine. It then moves to grammars for context-sensitive languages, and their equivalence with Turing machines is explored. The book ends with a brief chapter introducing complexity theory and explores the question of determining if a solution to a problem is practical.

Machine theory. --- Software engineering. --- Formal Languages and Automata Theory. --- Software Engineering. --- Formal languages.

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Nowadays, developers have to face the proliferation of hardware and software environments, the increasing demands of the users, the growing number of p- grams and the sharing of information, competences and services thanks to the generalization of databases and communication networks. A program is no more a monolithic entity conceived, produced and finalized before being used. A program is now seen as an open and adaptive frame, which, for example, can - namically incorporate services not foreseen by the initial designer. These new needs call for new control structures and program interactions. Unconventional approaches to programming have long been developed in various niches and constitute are servoir of alternative ways to face the programming languages crisis. New models of programming (e. g. , bio-inspired computing, artificial chemistry, amorphous computing,. . . )a real so currently experiencing a renewed period of growth as they face specific needs and new application - mains. These approaches provide new abstractions and notations or develop new ways of interacting with programs. They are implemented by embedding new sophisticated data structures in a classical programming model (API), by extending an existing language with new constructs (to handle concurrency, exceptions, open environments, . . . ), by conceiving new software life cycles and program executions (aspect weaving, run-time compilation) or by relying on an entire new paradigm to specify a computation. They are inspired by theoretical considerations (e. g. , topological, algebraic or logical foundations), driven by the domain at hand (domain-specific languages like PostScript, musical notation, animation, signal processing, etc. ) or by metaphors taken from various areas (quantum computing, computing with molecules, information processing in biological tissues, problem solving from nature, ethological and social modeling).

Computer science. --- Compilers (Computer programs). --- Machine theory. --- Theory of Computation. --- Compilers and Interpreters. --- Formal Languages and Automata Theory.

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Computer science. --- Machine theory. --- Computer simulation. --- Bioinformatics. --- Theory of Computation. --- Formal Languages and Automata Theory. --- Computer Modelling. --- Bioinformatics.

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Computer science. --- Machine theory. --- Computer simulation. --- Bioinformatics. --- Theory of Computation. --- Formal Languages and Automata Theory. --- Computer Modelling.

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The 7th International Conference on Typed Lambda Calculi and Applications (TLCA 2005) was held in Nara (Japan) from 21 to 23 April 2005, as part of the Joint Conference on Rewriting, Deduction and Programming (RDP 2005). This book contains the contributed papers, and extended abstracts of two invited talks, given by Thierry Coquand and Susumu Hayashi. A short abstract of the joint RDP invited lecture by Amy Felty is also included. The 27 contributed papers were selected from 61 submissions of generally very high quality, and the Program Committee had a hard time making the selection. The editor would like to thank everyone who submitted a paper and to express his regret that many interesting works could not be included. The editor also wishes to thank the invited speakers, the members of the Program and Organizing Committees, the Publicity Chair, and the referees for their joint e?ort towards the success of the conference. The support from the Nara Convention Bureau is gratefully acknowledged. The typed lambda calculus continues to be an important tool in logic and theoretical computer science. Since 1993, the research progress in this area has been documented by the TLCA proceedings. The present volume contributes to this tradition.

Machine theory. --- Computer science. --- Computer programming. --- Compilers (Computer programs). --- Formal Languages and Automata Theory. --- Computer Science Logic and Foundations of Programming. --- Programming Techniques. --- Compilers and Interpreters. --- Lambda calculus