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Computational and Mathematical Modeling in the Social Sciences

Author : Scott de Marchi
Publisher : Cambridge University Press
Page : 232 pages
File Size : 16,17 MB
Release : 2005-08-15
Category : Business & Economics
ISBN : 9780521853620

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Offers an overview of mathematical modeling concentrating on game theory, statistics and computational modeling.

Mathematical Modeling of Social Relationships

Author : Urszula Strawinska-Zanko
Publisher : Springer
Page : 227 pages
File Size : 27,97 MB
Release : 2018-06-07
Category : Social Science
ISBN : 3319767658

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This edited volume presents examples of social science research projects that employ new methods of quantitative analysis and mathematical modeling of social processes. This book presents the fascinating areas of empirical and theoretical investigations that use formal mathematics in a way that is accessible for individuals lacking extensive expertise but still desiring to expand their scope of research methodology and add to their data analysis toolbox. Mathematical Modeling of Social Relationships professes how mathematical modeling can help us understand the fundamental, compelling, and yet sometimes complicated concepts that arise in the social sciences. This volume will appeal to upper-level students and researchers in a broad area of fields within the social sciences, as well as the disciplines of social psychology, complex systems, and applied mathematics.

Qualitative Mathematics for the Social Sciences

Author : Lee Rudolph
Publisher : Routledge
Page : 494 pages
File Size : 29,31 MB
Release : 2013
Category : Mathematics
ISBN : 0415444829

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This book combines psychological and mathematical perspectives to analyse how qualitative mathematics can be used to create models of social and psychological processes.

Mathematical Models of Social Evolution

Author : Richard McElreath
Publisher : University of Chicago Press
Page : 429 pages
File Size : 15,39 MB
Release : 2008-09-15
Category : Social Science
ISBN : 0226558282

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Over the last several decades, mathematical models have become central to the study of social evolution, both in biology and the social sciences. But students in these disciplines often seriously lack the tools to understand them. A primer on behavioral modeling that includes both mathematics and evolutionary theory, Mathematical Models of Social Evolution aims to make the student and professional researcher in biology and the social sciences fully conversant in the language of the field. Teaching biological concepts from which models can be developed, Richard McElreath and Robert Boyd introduce readers to many of the typical mathematical tools that are used to analyze evolutionary models and end each chapter with a set of problems that draw upon these techniques. Mathematical Models of Social Evolution equips behaviorists and evolutionary biologists with the mathematical knowledge to truly understand the models on which their research depends. Ultimately, McElreath and Boyd’s goal is to impart the fundamental concepts that underlie modern biological understandings of the evolution of behavior so that readers will be able to more fully appreciate journal articles and scientific literature, and start building models of their own.

Thinking with models

Author : Thomas L. Saaty and Joyce M. Alexander
Publisher : RWS Publications
Page : 219 pages
File Size : 37,85 MB
Release :
Category : Business & Economics
ISBN : 1888603410

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This is a rich and exciting collection of examples and applications in mathematical modelling. There is broad variety, balance and highly motivating material and most of this assumes minimal mathematical training.

Mathematical Modeling in Social Sciences and Engineering

Author : Juan Carlos Cortés López
Publisher : Nova Science Publishers
Page : 0 pages
File Size : 47,53 MB
Release : 2014
Category : Engineering
ISBN : 9781631173356

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This book is devoted to the power of mathematical modelling to give an answer to a broad diversity of real problems including medicine, finance, social behavioural problems and many engineering problems. Mathematical modelling in social sciences is very recent and comes with special challenges such as the difficulty to manage human behaviour, the role of the model hypothesis with the objectivity/subjectivity and the proper understanding of the conclusions. In this book, the reader will find several behavioural mathematical models that in fact may be understood as the so-called epidemiological models in the sense that they deal with populations instead of individuals.

Limits Of Mathematical Modeling In The Social Sciences, The: The Significance Of Godel's Incompleteness Phenomenon

Author : Francisco Antonio Doria
Publisher : World Scientific
Page : 289 pages
File Size : 11,47 MB
Release : 2017-05-30
Category : Social Science
ISBN : 1786343177

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Current mathematical models are notoriously unreliable in describing the time evolution of unexpected social phenomena, from financial crashes to revolution. Can such events be forecast? Can we compute probabilities about them? Can we model them? This book investigates and attempts to answer these questions through Gödel's two incompleteness theorems, and in doing so demonstrates how influential Gödel is in modern logical and mathematical thinking. Many mathematical models are applied to economics and social theory, while Gödel's theorems are able to predict their limitations for more accurate analysis and understanding of national and international events.This unique discussion is written for graduate level mathematicians applying their research to the social sciences, including economics, social studies and philosophy, and also for formal logicians and philosophers of science.

Mathematical Modeling of Collective Behavior in Socio-Economic and Life Sciences

Author : Giovanni Naldi
Publisher : Springer Science & Business Media
Page : 437 pages
File Size : 29,76 MB
Release : 2010-08-12
Category : Mathematics
ISBN : 0817649468

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Using examples from finance and modern warfare to the flocking of birds and the swarming of bacteria, the collected research in this volume demonstrates the common methodological approaches and tools for modeling and simulating collective behavior. The topics presented point toward new and challenging frontiers of applied mathematics, making the volume a useful reference text for applied mathematicians, physicists, biologists, and economists involved in the modeling of socio-economic systems.