Synopses & Reviews
Proofs and Algorithms: An Introduction to Logic and Computability Logic is a branch of philosophy, mathematics and computer science. It studies the required methods to determine whether a statement is true, such as reasoning and computation. Proofs and Algorithms: An Introduction to Logic and Computability is an introduction to the fundamental concepts of contemporary logic - those of a proof, a computable function, a model and a set. It presents a series of results, both positive and negative, - Church's undecidability theorem, Gödel's incompleteness theorem, the theorem asserting the semi-decidability of provability - that have profoundly changed our vision of reasoning, computation, and finally truth itself. Designed for undergraduate students, this book presents all that philosophers, mathematicians and computer scientists should know about logic.
Review
From the reviews: "This work examines when the application of an algorithm can replace the construction of a proof. ... focuses on establishing that provability is undecidable in predicate logic (Church's theorem). The text generally consists of propositions followed by proofs, with commentary, examples, and exercises interspersed. ... The book would be of interest to those with adequate background. Summing Up: Recommended. Graduate students and above." (J. R. Burke, Choice, Vol. 49 (1), September, 2011) "Mathematical logic is a challenging subject for many students. ... this book, with its focus on the nature of proofs and algorithms and their relationship, appears to be targeted precisely for such an audience and should appeal to computer scientists and philosophers ... . this book remains an introductory book on mathematical logic suited for a beginning graduate course in logic. ... Its conciseness makes it well suited for a one-semester graduate course." (Burkhard Englert, ACM Computing Reviews, February, 2012)
Synopsis
Computer science and contemporary logic have been in a constant dialogue. Computer science, has for instance taken from logic some of its fundamental concepts, such as that of algorithm or that of formal language. Conversely, it has become usual to consider proofs as programs. This book in an introduction to the fundamental concepts of logic - computable function, proof and model - insisting on the echo that these concepts have found in computer science, for instance in the theory of programming languages, or for the design of proof-checking and proof search programs.
Synopsis
This volume provides an introduction to the fundamental concepts of logic. Written for those new to the field, the text covers both elementary topics -- proofs, models, recursive functions, etc. --
Synopsis
Logic is a branch of philosophy, mathematics and computer science. It studies the required methods to determine whether a statement is true, such as reasoning and computation. Proofs and Algorithms: Introduction to Logic and Computability is an introduction to the fundamental concepts of contemporary logic - those of a proof, a computable function, a model and a set. It presents a series of results, both positive and negative, - Church's undecidability theorem, Gödel's incompleteness theorem, the theorem asserting the semi-decidability of provability - that have profoundly changed our vision of reasoning, computation, and finally truth itself. Designed for undergraduate students, this book presents all that philosophers, mathematicians and computer scientists should know about logic.
About the Author
Gilles Dowek is a Professor at École Polytechnique. He is also a Researcher at the Laboratoire d'Informatique de l'École Polytechnique and the Institut National de Recherche en Informatique et en Automatique (INRIA). His research concerns the formalization of mathematics and the mechanization of reasoning. His main contribution is a reformulation of the axiomatic method which provides a central role to the notion of computation.
Table of Contents
Proofs.-Predictive Logic.-Inductive Definitions.-Languages.-The Languages of Predicate Logic.-Proofs.-Examples of Theories.-Variations on the Principle of the Excluded Middle.-Models.-The Notion of a Model.-The Soundness Theorem.-The Completeness Theorem.-Other Applications of the Notion of Model.-Algorithms.-Computable Functions.-Computable Functions.-Computability over Lists and Trees.-Eliminating Recursion.-Programs.-Computation as a Sequence of Small Steps.-Proofs and Algorithms.-Church's Theorem.-Automated Theorem Proving.-Sequent Calculus.-Proof Search in the Sequent Calculus Without Cuts.-Decidable theories.-Constructivity.-Epilogue.-Index.-Bibliography