Fr. 224.00

Models and Theories in Social Systems

Englisch · Fester Einband

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Beschreibung

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This book concisely presents a broad range of models and theories on social systems. Because of the huge spectrum of topics involving social systems, various issues related to Mathematics, Statistics, Teaching, Social Science, and Economics are discussed. 
In an effort to introduce the subject to a wider audience, this volume, part of the series "Studies in Systems, Decision and Control", equally addresses the needs of mathematicians, statisticians, sociologists and philosophers. 

The studies examined here are divided into four parts. The first part, "Perusing the Minds Behind Scientific Discoveries", traces the winding path of Syamal K. Sen and Ravi P. Agarwal's scholarship throughout history, and most importantly, the thought processes that allowed each of them to master their subject. The second part covers "Theories in Social Systems" and the third discusses "Models in Social Systems", while the fourth and final part is dedicated to "Mathematical Methods in the Social Sciences". Given its breadth of coverage, the book will offer inquisitive readers a valuable point of departure for exploring these rich, vast, and ever-expanding fields of knowledge.

Inhaltsverzeichnis

Perusing the Minds behind Scientific Discoveries.- A general framework for individual and social choices.- Nationality Board Diversity in Organizations: a Brief Review and Future Research Directions.- Mathematical Modeling of Some Physical Phenomena through Dynamical Systems.- Methods for improving the quality of image reconstruction in Computerized Tomography.- Questionnaires, bar and hyperstructures.- Micropolar Thermoelasticity with Voids using Fractional Order Strain.- Difusion in Microstretch Thermoelasticity with Microtemperatures and Microconcentrations.- Axial-symmetric potential flows.- Monte Carlo Method and Generation of Random Numbers by Usage of Numerical Methods.

Zusammenfassung

This book concisely presents a broad range of models and theories on social systems. Because of the huge spectrum of topics involving social systems, various issues related to Mathematics, Statistics, Teaching, Social Science, and Economics are discussed. 
In an effort to introduce the subject to a wider audience, this volume, part of the series “Studies in Systems, Decision and Control”, equally addresses the needs of mathematicians, statisticians, sociologists and philosophers. 


The studies examined here are divided into four parts. The first part, “Perusing the Minds Behind Scientific Discoveries”, traces the winding path of Syamal K. Sen and Ravi P. Agarwal’s scholarship throughout history, and most importantly, the thought processes that allowed each of them to master their subject. The second part covers “Theories in Social Systems” and the third discusses “Models in Social Systems”, while the fourth and final part is dedicated to “Mathematical Methods in the Social Sciences”. Given its breadth of coverage, the book will offer inquisitive readers a valuable point of departure for exploring these rich, vast, and ever-expanding fields of knowledge.

Produktdetails

Mitarbeit Cristina Flaut (Herausgeber), Daniel Flaut (Herausgeber), Sárk Hosková-Mayerová (Herausgeber), Sárka Hosková-Mayerová (Herausgeber), Šárka Hošková-Mayerová (Herausgeber)
Verlag Springer, Berlin
 
Sprache Englisch
Produktform Fester Einband
Erschienen 01.01.2018
 
EAN 9783030000837
ISBN 978-3-0-3000083-7
Seiten 576
Abmessung 171 mm x 245 mm x 35 mm
Gewicht 1080 g
Illustration XVI, 576 p. 80 illus., 54 illus. in color.
Serien Studies in Systems, Decision and Control
Studies in Systems, Decision and Control
Themen Naturwissenschaften, Medizin, Informatik, Technik > Technik > Allgemeines, Lexika

B, Sociology, biotechnology, engineering, complexity, Computational Intelligence, Social sciences—Computer programs, Social sciences—Data processing, Computer applications in the social & behavioural sciences, Computational Social Sciences, Cybernetics & systems theory, Applied Dynamical Systems, Computational complexity

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