Description

Book Synopsis

The book explores how build a mechanical inferences by making use of arithmetic operations on a string of numbers representing statements. In this way logic is reduced to a branch of the combinatory calculus. It covers the field of traditional logic by showing that any kind of inference can be mechanically reduced to three-variables and two-premise inferences. Meriological inferences can also be easily treated in this way. The book covers the following subjects: structural description of space; three-variable inferences through products, sums, subtractions, and divisions; generalization to n variables; relations; and applications.



Table of Contents

Structural Description. Product Inferences. Sums. Subtractions. Divisions. Assessment of All the Previous Inferences. Generalized Representation and Structural Relations. Generalized Inferences. Applications. Conclusions. Bibliography. Author Index. Subject Index.

Mechanical Logic in Three-Dimensional Space

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A Hardback by Gennaro Auletta

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    View other formats and editions of Mechanical Logic in Three-Dimensional Space by Gennaro Auletta

    Publisher: Pan Stanford Publishing Pte Ltd
    Publication Date: 24/10/2013
    ISBN13: 9789814411509, 978-9814411509
    ISBN10: 9814411507

    Description

    Book Synopsis

    The book explores how build a mechanical inferences by making use of arithmetic operations on a string of numbers representing statements. In this way logic is reduced to a branch of the combinatory calculus. It covers the field of traditional logic by showing that any kind of inference can be mechanically reduced to three-variables and two-premise inferences. Meriological inferences can also be easily treated in this way. The book covers the following subjects: structural description of space; three-variable inferences through products, sums, subtractions, and divisions; generalization to n variables; relations; and applications.



    Table of Contents

    Structural Description. Product Inferences. Sums. Subtractions. Divisions. Assessment of All the Previous Inferences. Generalized Representation and Structural Relations. Generalized Inferences. Applications. Conclusions. Bibliography. Author Index. Subject Index.

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