Concepts of Proof in Mathematics, Philosophy, and Computer Science
A proof is a successful demonstration that a conclusion necessarily follows by logical reasoning from axioms which are considered evident for the given context and agreed upon by the community. It is this concept that sets mathematics apart from other disciplines and distinguishes it as the prototype of a deductive science. Proofs thus are utterly relevant for research, teaching and communication in mathematics and of particular interest for the philosophy of mathematics. In computer science, moreover, proofs have proved to be a rich source for already certified algorithms.

This book provides the reader with a collection of articles covering relevant current research topics circled around the concept 'proof'. It tries to give due consideration to the depth and breadth of the subject by discussing its philosophical and methodological aspects, addressing foundational issues induced by Hilbert's Programme and the benefits of the arising formal notions of proof, without neglecting reasoning in natural language proofs and applications in computer science such as program extraction.

1122670624
Concepts of Proof in Mathematics, Philosophy, and Computer Science
A proof is a successful demonstration that a conclusion necessarily follows by logical reasoning from axioms which are considered evident for the given context and agreed upon by the community. It is this concept that sets mathematics apart from other disciplines and distinguishes it as the prototype of a deductive science. Proofs thus are utterly relevant for research, teaching and communication in mathematics and of particular interest for the philosophy of mathematics. In computer science, moreover, proofs have proved to be a rich source for already certified algorithms.

This book provides the reader with a collection of articles covering relevant current research topics circled around the concept 'proof'. It tries to give due consideration to the depth and breadth of the subject by discussing its philosophical and methodological aspects, addressing foundational issues induced by Hilbert's Programme and the benefits of the arising formal notions of proof, without neglecting reasoning in natural language proofs and applications in computer science such as program extraction.

210.0 In Stock
Concepts of Proof in Mathematics, Philosophy, and Computer Science

Concepts of Proof in Mathematics, Philosophy, and Computer Science

Concepts of Proof in Mathematics, Philosophy, and Computer Science

Concepts of Proof in Mathematics, Philosophy, and Computer Science

Hardcover

$210.00 
  • SHIP THIS ITEM
    In stock. Ships in 6-10 days.
  • PICK UP IN STORE

    Your local store may have stock of this item.

Related collections and offers


Overview

A proof is a successful demonstration that a conclusion necessarily follows by logical reasoning from axioms which are considered evident for the given context and agreed upon by the community. It is this concept that sets mathematics apart from other disciplines and distinguishes it as the prototype of a deductive science. Proofs thus are utterly relevant for research, teaching and communication in mathematics and of particular interest for the philosophy of mathematics. In computer science, moreover, proofs have proved to be a rich source for already certified algorithms.

This book provides the reader with a collection of articles covering relevant current research topics circled around the concept 'proof'. It tries to give due consideration to the depth and breadth of the subject by discussing its philosophical and methodological aspects, addressing foundational issues induced by Hilbert's Programme and the benefits of the arising formal notions of proof, without neglecting reasoning in natural language proofs and applications in computer science such as program extraction.


Product Details

ISBN-13: 9781501510809
Publisher: De Gruyter
Publication date: 07/25/2016
Series: Ontos Mathematical Logic , #6
Pages: 384
Product dimensions: 6.10(w) x 9.06(h) x (d)
Age Range: 18 Years

About the Author

Dieter Probst, Inst. of Computer Science, U. Bern, Switzerland.
Peter Schuster, Dept. of Computer Science, U. Verona, Italy.

From the B&N Reads Blog

Customer Reviews