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Thursday, April 16, 2020 | History

1 edition of Applications of simulation to social sciences found in the catalog.

Applications of simulation to social sciences

Applications of simulation to social sciences

  • 147 Want to read
  • 18 Currently reading

Published by Hermes Science Pub. in Stanmore .
Written in English

    Subjects:
  • Social sciences -- Mathematical models.

  • Edition Notes

    Includes bibliographical references.

    Statementeditors, Gʹerard Ballot, Gʹerard Weisbuch.
    ContributionsBallot, Gérard, Weisbuch, G.
    Classifications
    LC ClassificationsH61.25 .A67 2000
    The Physical Object
    Pagination461 p. ;
    Number of Pages461
    ID Numbers
    Open LibraryOL3533105M
    LC Control Number2001431681
    OCLC/WorldCa47105403

    In social sciences the use of information and communication technologies (ICT) is an ever growing phenomenon. Emanating from the need of knowledge about society and economy, we are constantly striving to create ideas and methods for a better use of information.


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Applications of simulation to social sciences Download PDF EPUB FB2

Note: Citations are based on reference standards. However, formatting rules can vary widely between applications and fields of interest or study. The specific requirements or preferences of your reviewing publisher, classroom teacher, institution or organization should be applied. Agent-Based Models (Quantitative Applications in the Social Sciences) [Gilbert, Nigel] on *FREE* shipping on qualifying offers.

Agent-Based Models (Quantitative Applications in the Social Sciences)/5(16). This volume is based on the Social Simulation Conference of in Dublin and includes applications from across the social sciences, providing the reader with a demonstration of the highly versatile research in social simulation, with a particular focus on.

This open access book examines the methodological complications of using complexity science concepts within the social science domain. The opening chapters take the reader on a tour through the development of simulation methodologies in the fields of artificial life and population biology, then demonstrates the growing popularity and relevance of these methods in the.

Buy Agent-Based Models (Quantitative Applications in the Social Sciences) on FREE SHIPPING on qualified orders or editor of 34 books and many academic papers and was the founding editor of the Journal of Artificial Societies and Social by: The editors - all of whom are involved in social systems analysis - have made an attempt in this volume to pull together several aspects of systems science which appear to them to be of particular relevance to the study of social systems: Control systems, stochastic systems, pattern recog­ nition, fuzzy analysis, simulation, and behavioral Brand: Birkhäuser Basel.

This book explores human simulation, which is the application of computational modeling and simulation to research subjects in the humanities disciplines. It provides interactive simulations for the reader, offers examples & sets the direction for. Bayesian Inference in the Social Sciences is an ideal reference for researchers in economics, political science, sociology, and business as well as an excellent resource for academic, government, and regulation agencies.

The book is also useful for graduate-level courses in applied econometrics, statistics, mathematical modeling and simulation. Mathematical and Computational Modeling: With Applications in the Natural and Social Sciences, Engineering, and the Arts is an ideal resource for professionals in various areas of mathematical and statistical sciences, modeling and simulation, physics, computer science, engineering, biology and chemistry, industrial, and computational.

Model building in the social sciences can increasingly rely on well elaborated formal theories. At the same time inexpensive large computational capacities are now available. Both make computer-based model building and simulation possible in social science, whose central aim is in particular an understanding of social dynamics.

Such social dynamics refer to public opinion. Interdisciplinary Applications of Agent-Based Social Simulation and Modeling aims to bring a different perspective to this interdisciplinary topic.

This book presents current discussions and new insights on social simulation as a whole, focusing on its dangers, pitfalls, deceits, and challenges. This book is an essential reference for.

In addition, Christopher Z Mooney carefully demonstrates how to prepare computer algorithms using GAUSS code and uses several research examples to demonstrate these principles. This volume will enable researchers to execute Monte Carlo Simulation effectively and to interpret the estimated sampling distribution generated from its use.

Both are from the Quantitative Applications in the Social Sciences series by SAGE press (the little green SAGE books). Both provide quite accessible introductions, though the Monte Carlo Simulation book is written based on GAUSS rather than R. In addition, several articles and/or book chapters will be assigned as part of the course.

Some. Mathematical and Computational Modeling: With Applications in the Natural and Social Sciences, Engineering, and the Arts is an ideal resource for professionals in various areas of mathematical and statistical sciences, modeling and simulation, physics, computer science, engineering, biology and chemistry, industrial, and computational Author: Roderick Melnik.

Recherche et Applications en Marketing Simulation & Gaming Social Marketing Quarterly Transfer – European Review of Labour & Research A Very Short, Fairly Interesting and Reasonably Cheap Book About Studying Organizations, Third Edition, Chris Grey Work, Employment & Society COMMUNICATION & MEDIA STUDIES.

Get this from a library. Methodological Investigations in Agent-Based Modelling: With Applications for the Social Sciences. [Eric Silverman] -- This open access book examines the methodological complications of using complexity science concepts within the social science domain.

The opening chapters take the reader on a tour through the. Social simulation is a research field that applies computational methods to study issues in the social issues explored include problems in computational law, psychology, organizational behavior, sociology, political science, economics, anthropology, geography, engineering, archaeology and linguistics (Takahashi, Sallach & Rouchier ).

The authors' encyclopedic coverage of computer applications in the social sciences includes such topics as simulation/modeling techniques, data management, statistical analysis, graphics, work processing, expert systems, and artificial intelligence.

SAGE’s Quantitative Applications in the Social Sciences (QASS) series has served countless students, instructors, and researchers in learning cutting-edge quantitative techniques.

SAGE's Quantitative Applications in the Social Sciences (QASS) series has served countless students, instructors, and researchers in learning cutting-edge quantitative techniques.

These brief volumes address advanced quantitative topics including Regression, Models, Data Analysis, Structural Equation Modeling, Experimental Design, Factor.

Longitudinal and Panel Data: Analysis and Applications for the Social Sciences Table of Contents Table of Contents i Preface vi 1. Introduction What are longitudinal and panel data. Benefits and drawbacks of longitudinal data Longitudinal data models Historical notes PART I - LINEAR MODELS 2.

( views) Modeling Simulation and Optimization: Focus on Applications by Shkelzen Cakaj - InTech, This book provides modeling, simulation and optimization applications in the areas of medical care systems, genetics, business, ethics and linguistics, applying very sophisticated methods.

Algorithms, 3-D modeling, virtual reality, and more. Simulation in Social Sciences - Lecture 6 in Introduction to Computational Social Science 1. SIMULATION IN SOCIAL SCIENCES LECTURE 6, INTRODUCTION TO COMPUTATIONAL SOCIAL SCIENCE (CSS01) LAURI ELORANTA 2.

Journal of Artificial Societies and Social Simulation This text deals with general modelling concepts in the social sciences, their applications, and their mathematical methods. The author's well-organized approach offers a clear, coherent introduction to terminology, approaches, and goals in modelling.

The advent of object-oriented, and later agent-oriented, programming, and the increased power and lower cost of computer hardware have led to an explosion in modeling techniques for social and other problems. The first edition of this work [1] was an invaluable roadmap through the jungle of computer modeling and simulation.

Bayesian methods are increasingly being used in the social sciences, as the problems encountered lend themselves so naturally to the subjective qualities of Bayesian methodology. This book provides an accessible introduction to Bayesian methods, tailored specifically for social science students.

It contains lots of real examples from political science, Author: Simon Jackman. Computational social sciences is a research discipline at the interface between computer science and the traditional social sciences. This interdisciplinary and emerging scientific field uses Author: Inês Amaral.

Applications of Visual Algorithm Simulation: /ch Understanding data structures and algorithms is an integral part of software engineering and elementary computer science education. However, people usuallyAuthor: Ari Korhonen. Computer simulation or a computer model has the task of simulating the behaviour of an abstract model of a particular system.

Computer simulations have become a useful part of mathematical modeling of many natural systems in physics, quantum mechanics, chemistry, biology, economic systems, psychology, and social sciences, as well as in the engineering process of new Cited by: 4.

Materials is an international peer-reviewed open access semimonthly journal published by MDPI. Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is CHF (Swiss Francs).

Submitted papers should be well formatted and use good English. Modeling and Simulation for Analyzing Global Events provides an orientation to the theory and application of modeling and simulation techniques in social science disciplines. This book guides readers in developing quantitative and numeric representations of real-world events based on qualitative analysis.

Chapter title; 1. Power Flow Analysis. By Mohammed Albadi. Part of book: Computational Models in Engineering 2. PID Control Design. By A.B. Campo. Part of book: MATLAB - A Fundamental Tool for Scientific Computing and Engineering Applications - Volume 1 3.

Dynamic Simulation of Electrical Machines and Drive Systems Using MATLAB GUI. Complete with over figures and formulas, this reference book provides the necessary overview of experiences with MAS simulation and the tools needed to exploit simulation in MAS for future research in a vast array of applications including home security, computational systems biology, and traffic management.

you personally who want to start reading some sort of book, we give you this particular Monte Carlo Simulation (Quantitative Applications in the Social Sciences) book as beginner and daily reading reserve.

Why, because this book is more than just a book. Heather Snyder: Reading a reserve can be one of a lot of pastime that everyone in the world. Computational sciences provide the scientific foundations for making sense of natural, human-mediated and social phenomena through analytics, computational methods and modeling.

In an age of ubiquitous — often overwhelming — data, the ability to harness that data to reflect, reach out and make better decisions is increasingly crucial.

This paper concerns the use and implementation of penalized maximum likelihood procedures to fitting smoothing functions of the generalized extreme value distribution parameters to analyze spatial extreme values of ultraviolet B (UVB) radiation across the Mexico City metropolitan area in the period – DANS is an institute of KNAW and NWO.

Driven by data. Go to page top Go back to contents Go back to site navigationCited by: Download a PDF of "Planning and Preliminary Engineering Applications Guide to the Highway Capacity Manual" by the National Academies of Sciences, Engineering, and Medicine for free.

It addresses sociologists and other social scientists interested in formal modelling, mathematical sociology, and computer simulation as well as computer scientists interested in social science applications, and philosophers of social science.

(source: Nielsen Book Data). Free 2-day shipping on qualified orders over $ Buy Quantitative Applications in the Social Sciences: Monte Carlo Simulation (Paperback) at. Simulation for the Social Scientist is a practical textbook on the techniques of building computer simulations to help with understanding issues and problems in social science.

This page lists some of the Web sites that provide information about social simulation and related topics.Simulation as a social event brings together people, physical elements, and social rules.

The interplay between these elements can be labeled as a social practice. In this chapter, we provide examples of simulation as social practice and then step back to discuss general features of social practices and how they relate to simulation in health care.With a focus on practical applications and examples, this book contains four main sections: Section I defines the social determinants of health at a place/population level and discusses their significance in light of current methodological limitations in identifying their impacts; Section II focuses on conceptual and empirical applications of ABM to analyze the social determinants of .