Author: Romulus-C. Damaceanu

Applied Computational Mathematics in Social Sciences

eBook: US $21 Special Offer (PDF + Printed Copy): US $109
Printed Copy: US $99
Library License: US $84
ISBN: 978-1-60805-009-3 (Print)
ISBN: 978-1-60805-089-5 (Online)
Year of Publication: 2010
DOI: 10.2174/97816080508951100101


Applied Computational Mathematics in Social Sciences adopts a modern scientific approach that combines knowledge from mathematical modeling with various aspects of social science. Special algorithms can be created to simulate an artificial society and a detailed analysis can subsequently be used to project social realities. This Ebook specifically deals with computations using the NetLogo platform, and is intended for researchers interested in advanced human geography and mathematical modeling studies.


The topics approached by this book have received significant attention in recent years because social researchers can apply new tools in order to investigate social reality. This book presents some latest and representative developments of Applied Computational Mathematics in Social Sciences. It focuses on some major and important problems in agent-based modeling (ABM) used in Social Sciences and provide comprehensive survey of a multi agent-based computational model of an artificial society implemented in NetLogo, a freeware platform available on Internet.

The book consists of five chapters. Chapter 1 is the introduction of the book that gives the essential information to the readers regarding the two major fields approached by the book: Applied Computational Mathematics and Social Sciences. Chapter 2 describes the multi agent-based computational model of the artificial society constructed by using knowledge from the next Social Sciences: Anthropology, Economics, Education, Geography, History, Law, Linguistics, Political Science, Psychology, Social Work, and Sociology. Chapter 3 describes the implementation in NetLogo of the multi agent-based model described in the second chapter. Chapter 4 uses the computational model implemented in the third chapter for a set of computational experiments using NetLogo. Chapter 5 presents the conclusions of the computational experiments done in the fourth chapter.

The primary target audiences of this book are those who are interested in using Computational Mathematics in Social Sciences. Typically, they include scholars, researchers, developers and postgraduate students. This book could be a useful reference for university courses in both fields of Applied Computational Mathematics and Social Sciences.


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