Social Understanding: On Hermeneutics, Geometrical Models and Artificial Intelligence by Jürgen KlüverSocial Understanding: On Hermeneutics, Geometrical Models and Artificial Intelligence by Jürgen Klüver

Social Understanding: On Hermeneutics, Geometrical Models and Artificial Intelligence

byJürgen Klüver

Paperback | January 27, 2013

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The operation of understanding is the fundamental methodical procedure of hermeneutics and is usually seen as contradiction to scientific explanation by the usage of mathematical models. Yet understanding is the basic way in which humans organize their everyday practice, namely by understanding other people and social situations. In this book the authors demonstrate how an integration of hermeneutical understanding and scientific explanation can be done via the construction of suited geometrical models with neural networks of processes of understanding. In this sense the authors develop some kind of mathematical hermeneutics.Connecting links for the integration of the two methodical poles are the developments of particular models of Artificial Intelligence (AI), which are able to perform certain tasks of understanding.
Title:Social Understanding: On Hermeneutics, Geometrical Models and Artificial IntelligenceFormat:PaperbackDimensions:260 pages, 23.5 × 15.5 × 0.01 inPublished:January 27, 2013Publisher:Springer-Verlag/Sci-Tech/TradeLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:9400734697

ISBN - 13:9789400734692

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Table of Contents

1. INTRODUCTION: HISTORICAL, METHODICAL, AND CONCEPTUAL FRAMES.- 2. THE OPERATION CALLED "VERSTEHEN": CONSIDERATIONS ABOUT FORMAL.- SYSTEMATIZATIONS OF UNDERSTANDING.- 3. MENTAL MODELS, THE GEOMETRY OF MEANING GENERATION AND OF INFORMATION.- 4. THE UNDERSTANDING OF LEARNING.- 5. THE HUMAN FACTOR: UNDERSTANDING HUMANS BY ARTIFICIAL SYSTEMS.- 6. CONCLUSIONS: AI AND A UNIFIED SCIENCE.- REFERENCES.

Editorial Reviews

From the reviews:"This very slim volume is an amazing tour through the philosophy of science (and the humanities), artificial intelligence (AI), and simulation. It demonstrates impressive scholarship over a diverse collection of disciplines. . The book has only 250 pages of text, plus references and an index. It is organized in five chapters, each of which has a theme. . Research on STEM education can be as challenging as research on discipline--if better questions are asked. This book can help scholars do this." (Anthony J. Duben, ACM Computing Reviews, December, 2011)