Simulation For The Social Scientist

Social sciences -- Simulation methods. Social interaction -- Computer simulation. Social sciences -- Mathematical models. (publisher)

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Author: Gilbert, Nigel

Publisher: McGraw-Hill Education (UK)

ISBN: 0335216005

Category: Social Science

Page: 309

View: 559

Social sciences -- Simulation methods. Social interaction -- Computer simulation. Social sciences -- Mathematical models. (publisher)

Tools and Techniques for Social Science Simulation

Preface The use of computer simulations to study social phenomena has grown rapidly during the last few years. Many Social Scientists from the fields of economics, Sociology, psychology and other disciplines now use computer simulations ...

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Author: Ramzi Suleiman

Publisher: Springer Science & Business Media

ISBN: 9783642517440

Category: Social Science

Page: 387

View: 634

The use of computer simulations to study social phenomena has grown rapidly during the last few years. Many social scientists from the fields of economics, sociology, psychology and other disciplines now use computer simulations to study a wide range of social phenomena. The availability of powerful personal computers, the development of multidisciplinary approaches and the use of artificial intelligence models have all contributed to this development. The benefits of using computer simulations in the social sciences are obvious. This holds true for the use of simulations as tools for theory building and for its implementation as a tool for sensitivity analysis and parameter optimization in application-oriented models. In both, simulation provides powerful tools for the study of complex social systems, especially for dynamic and multi-agent social systems in which mathematical tractability is often impossible. The graphical display of simulation output renders it user friendly to many social scientists that lack sufficient familiarity with the language of mathematics. The present volume aims to contribute in four directions: (1) To examine theoretical and methodological issues related to the application of simulations in the social sciences. By this we wish to promote the objective of designing a unified, user-friendly, simulation toolkit which could be applied to diverse social problems. While no claim is made that this objective has been met, the theoretical issues treated in Part 1 of this volume are a contribution towards this objective.

Modelling and Simulation in the Social Sciences from the Philosophy of Science Point of View

This book presents a number of modelling and simulation approaches and their relations to problems in philosophy of science.

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Author: R. Hegselmann

Publisher: Springer Science & Business Media

ISBN: 0792341252

Category: Social Science

Page: 332

View: 819

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 formation, partner choice, strategy decisions in social dilemma situations and much more. In the context of such modelling approaches, novel problems in philosophy of science arise which must be analysed - the main aim of this book. Interest in social simulation has recently been growing rapidly world- wide, mainly as a result of the increasing availability of powerful personal computers. The field has also been greatly influenced by developments in cellular automata theory (from mathematics) and in distributed artificial intelligence which provided tools readily applicable to social simulation. This book presents a number of modelling and simulation approaches and their relations to problems in philosophy of science. 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.

Modelling and Simulation in the Social Sciences from the Philosophy of Science Point of View

Since the models described beforedoform paradigm examples of what is regarded as good socialtheoryit follows that thin simulations could in principlebe regarded as paradigm cases of good social sciencetoo.

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Author: R. Hegselmann

Publisher: Springer Science & Business Media

ISBN: 9789401586863

Category: Social Science

Page: 320

View: 606

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 formation, partner choice, strategy decisions in social dilemma situations and much more. In the context of such modelling approaches, novel problems in philosophy of science arise which must be analysed - the main aim of this book. Interest in social simulation has recently been growing rapidly world- wide, mainly as a result of the increasing availability of powerful personal computers. The field has also been greatly influenced by developments in cellular automata theory (from mathematics) and in distributed artificial intelligence which provided tools readily applicable to social simulation. This book presents a number of modelling and simulation approaches and their relations to problems in philosophy of science. 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.

Introduction to Computational Social Science

8.2 History and First Pioneers The following is a brief history of milestones and pioneers of social simulation research in CSS, with main emphasis on methodological concepts, principles, and practice—especially the founders' generation ...

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Author: Claudio Cioffi-Revilla

Publisher: Springer

ISBN: 9783319501314

Category: Computers

Page: 607

View: 275

This textbook provides a comprehensive and reader-friendly introduction to the field of computational social science (CSS). Presenting a unified treatment, the text examines in detail the four key methodological approaches of automated social information extraction, social network analysis, social complexity theory, and social simulation modeling. This updated new edition has been enhanced with numerous review questions and exercises to test what has been learned, deepen understanding through problem-solving, and to practice writing code to implement ideas. Topics and features: contains more than a thousand questions and exercises, together with a list of acronyms and a glossary; examines the similarities and differences between computers and social systems; presents a focus on automated information extraction; discusses the measurement, scientific laws, and generative theories of social complexity in CSS; reviews the methodology of social simulations, covering both variable- and object-oriented models.

Epistemological Aspects of Computer Simulation in the Social Sciences

What is the best method for doing simulation research? This has been the basis of a continuing debate within the social science research community. Resolving it is important if the community is to demonstrate clearly that simulation is ...

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Author: Flaminio Squazzoni

Publisher: Springer Science & Business Media

ISBN: 9783642011085

Category: Computers

Page: 191

View: 789

This book constitutes the revised versions of the invited and selected papers from the Second Epistemological Perspectives on Simulation Workshop, EPOS 2006, which was held in Brescia, Italy, during October 5-6, 2006. The 11 papers presented together with 2 invited papers were carefully reviewed and selected from 35 submissions. The topics addressed were epistemological and methodological contents, such as the relevance of empirical foundations for agent-based simulations, the role of theory, the concepts and meaning of emergence, the trade-off between simplification and complexification of models.

Monte Carlo Simulation and Resampling Methods for Social Science

Social scientists increasingly use statistical simulation techniques to help them understand the social processes they study and the statistical methods used to study them. This book examines two types of computer simulation techniques ...

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Author: Thomas M. Carsey

Publisher: SAGE Publications

ISBN: 9781483324920

Category: Social Science

Page: 304

View: 992

Taking the topics of a quantitative methodology course and illustrating them through Monte Carlo simulation, Monte Carlo Simulation and Resampling Methods for Social Science, by Thomas M. Carsey and Jeffrey J. Harden, examines abstract principles, such as bias, efficiency, and measures of uncertainty in an intuitive, visual way. Instead of thinking in the abstract about what would happen to a particular estimator "in repeated samples," the book uses simulation to actually create those repeated samples and summarize the results. The book includes basic examples appropriate for readers learning the material for the first time, as well as more advanced examples that a researcher might use to evaluate an estimator he or she was using in an actual research project. The book also covers a wide range of topics related to Monte Carlo simulation, such as resampling methods, simulations of substantive theory, simulation of quantities of interest (QI) from model results, and cross-validation. Complete R code from all examples is provided so readers can replicate every analysis presented using R.

Advances in Computational Social Science

Gilbert N, Troitzsch K (2005) Simulation for the social scientist. Open University Press, New York 7. Goldberg DE (1989) Genetic algorithms in search, optimization, and machine learning. Addison-Wesley, Reading 8.

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Author: Shu-Heng Chen

Publisher: Springer

ISBN: 9784431548478

Category: Business & Economics

Page: 349

View: 947

This volume is a post-conference publication of the 4th World Congress on Social Simulation (WCSS), with contents selected from among the 80 papers originally presented at the conference. WCSS is a biennial event, jointly organized by three scientific communities in computational social science, namely, the Pacific-Asian Association for Agent-Based Approach in Social Systems Sciences (PAAA), the European Social Simulation Association (ESSA), and the Computational Social Science Society of the Americas (CSSSA). It is, therefore, currently the most prominent conference in the area of agent-based social simulation. The papers selected for this volume give a holistic view of the current development of social simulation, indicating the directions for future research and creating an important archival document and milestone in the history of computational social science. Specifically, the papers included here cover substantial progress in artificial financial markets, macroeconomic forecasting, supply chain management, bank networks, social networks, urban planning, social norms and group formation, cross-cultural studies, political party competition, voting behavior, computational demography, computational anthropology, evolution of languages, public health and epidemics, AIDS, security and terrorism, methodological and epistemological issues, empirical-based agent-based modeling, modeling of experimental social science, gaming simulation, cognitive agents, and participatory simulation. Furthermore, pioneering studies in some new research areas, such as the theoretical foundations of social simulation and categorical social science, also are included in the volume.

Information Technology For The Social Scientist

Dynamic microsimulation models: problems and prospects. Discussion Paper 48, London School of Economics Welfare State Programme. Inbar, M. & C. S. Stoll 1972. Simulation and gaming in social science. New York: Free Press.

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Author: Ray Lee University of London.

Publisher: Routledge

ISBN: 9781134218141

Category: Social Science

Page: 241

View: 691

Accessible and practical overview to help social reseachers make the most of information technology in relation to research design and selection, management and analysis of research data. The book pinpoints current and future trends in computer-assisted methods.; This book is intended for postgraduate and undergraduate social research methods courses and professional social researchers in sociology, social policy and administration, social psychology and geography. Particular appeal to courses in computer applications for social scientists and researchers.