Simulation For The Social Scientist

Author: Gilbert, Nigel
Publisher: McGraw-Hill Education (UK)
ISBN: 9780335225125
Release Date: 2005-02-01
Genre: Social Science

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

Simulation For The Social Scientist

Author: Gilbert, Nigel
Publisher: McGraw-Hill Education (UK)
ISBN: 0335216005
Release Date: 2005-02-01
Genre: Social Science

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

Monte Carlo Simulation and Resampling Methods for Social Science

Author: Thomas M. Carsey
Publisher: SAGE Publications
ISBN: 9781483324920
Release Date: 2013-08-06
Genre: Social Science

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.

Tools and Techniques for Social Science Simulation

Author: Ramzi Suleiman
Publisher: Springer Science & Business Media
ISBN: 9783642517440
Release Date: 2012-12-06
Genre: Social Science

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.

Introduction to Computational Social Science

Author: Claudio Cioffi-Revilla
Publisher: Springer
ISBN: 9783319501314
Release Date: 2017-06-22
Genre: Computers

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.

Agent Based Models

Author: Nigel Gilbert
Publisher: SAGE
ISBN: 9781412949644
Release Date: 2008
Genre: Social Science

Aimed at readers with minimal experience in computer programming, this brief book provides a theoretical and methodological rationale for using ABM in the social sciences. It goes on to describe some carefully chosen examples from different disciplines, illustrating different approaches to ABM. It concludes with practical advice about how to design and create ABM, a discussion of validation procedures, and some guidelines about publishing articles based on ABM.

Theory Construction and Model building Skills

Author: James Jaccard
Publisher: Guilford Press
ISBN: 9781606233405
Release Date: 2010-01-01
Genre: Psychology

Meeting a crucial need for graduate students and newly minted researchers, this innovative text provides hands-on tools for generating ideas and translating them into formal theories. It is illustrated with numerous practical examples drawn from multiple social science disciplines and research settings. The authors offer clear guidance for defining constructs, thinking through relationships and processes that link constructs, and deriving new theoretical models (or building on existing ones) based on those relationships. Step by step, they show readers how to use causal analysis, mathematical modeling, simulations, and grounded and emergent approaches to theory construction. A chapter on writing about theories contains invaluable advice on crafting effective papers and grant applications. Useful pedagogical features in every chapter include: Application exercises and concept exercises Lists of key terms and engaging topical boxes Annotated suggestions for further reading. This book is intended for graduate students in a range of disciplines, including psychology, education, sociology, health, and management, as well as social scientists pursing research careers in academic or other settings. It can serve as a primary text in graduate-level courses in theory construction or as a supplemental text in courses on research methodology, theories of a particular discipline, grant writing, or the dissertation.

Agent Based Computational Sociology

Author: Flaminio Squazzoni
Publisher: John Wiley & Sons
ISBN: 9781119941637
Release Date: 2012-02-27
Genre: Social Science

Most of the intriguing social phenomena of our time, such as international terrorism, social inequality, and urban ethnic segregation, are consequences of complex forms of agent interaction that are difficult to observe methodically and experimentally. This book looks at a new research stream that makes use of advanced computer simulation modelling techniques to spotlight agent interaction that allows us to explain the emergence of social patterns. It presents a method to pursue analytical sociology investigations that look at relevant social mechanisms in various empirical situations, such as markets, urban cities, and organisations. This book: Provides a comprehensive introduction to epistemological, theoretical and methodological features of agent-based modelling in sociology through various discussions and examples. Presents the pros and cons of using agent-based models in sociology. Explores agent-based models in combining quantitative and qualitative aspects, and micro- and macro levels of analysis. Looks at how to pose an agent-based research question, identifying the model building blocks, and how to validate simulation results. Features examples of agent-based models that look at crucial sociology issues. Supported by an accompanying website featuring data sets and code for the models included in the book. Agent-Based Computational Sociology is written in a common sociological language and features examples of models that look at all the traditional explanatory challenges of sociology. Researchers and graduate students involved in the field of agent-based modelling and computer simulation in areas such as social sciences, cognitive sciences and computer sciences will benefit from this book.

Generative Social Science Studies in Agent Based Computational Modeling

Author: Joshua M. Epstein
Publisher: Princeton University Press
ISBN: 9781400842872
Release Date: 2012-01-02
Genre: Business & Economics

Agent-based computational modeling is changing the face of social science. In Generative Social Science, Joshua Epstein argues that this powerful, novel technique permits the social sciences to meet a fundamentally new standard of explanation, in which one "grows" the phenomenon of interest in an artificial society of interacting agents: heterogeneous, boundedly rational actors, represented as mathematical or software objects. After elaborating this notion of generative explanation in a pair of overarching foundational chapters, Epstein illustrates it with examples chosen from such far-flung fields as archaeology, civil conflict, the evolution of norms, epidemiology, retirement economics, spatial games, and organizational adaptation. In elegant chapter preludes, he explains how these widely diverse modeling studies support his sweeping case for generative explanation. This book represents a powerful consolidation of Epstein's interdisciplinary research activities in the decade since the publication of his and Robert Axtell's landmark volume, Growing Artificial Societies. Beautifully illustrated, Generative Social Science includes a CD that contains animated movies of core model runs, and programs allowing users to easily change assumptions and explore models, making it an invaluable text for courses in modeling at all levels.

Simulation and Social Theory

Author: Sean Cubitt
Publisher: SAGE
ISBN: 9780857026408
Release Date: 2000-12-22
Genre: Social Science

This insightful book is the first to critically examine the ideas of some of the key thinkers of simulation. It addresses the work of Baudrillard, Debord, Virilio and Eco, clarifying their arguments by referring to the intellectual and social worlds each emerged from distilling what is important from their discussions. The book argues for a critical and selective use of the concept of simulation. Like the idea of ideology, simulation is a political theory, but it has also become a deeply pessimistic theory of the end of history and the impossibility of positive change. Through a series of reflections on the meaning of theme parks, warfare and computer modelling, Sean Cubitt demonstrates the strengths and limitations of the simulation thesis.

Behavioral Computational Social Science

Author: Riccardo Boero
Publisher: John Wiley & Sons
ISBN: 9781118657300
Release Date: 2015-09-28
Genre: Mathematics

"Provides a unified approach to social research, integrating both agent-based models and behavioral studies.Introduces the reader to all the concepts, tools and references that are required for conducting research in behavioral computational social science"--

Social Emergence

Author: Robert Keith Sawyer
Publisher: Cambridge University Press
ISBN: 0521844649
Release Date: 2005-10-27
Genre: Philosophy

Can we understand important social issues by studying individual personalities and decisions? Or are societies somehow more than the people in them? Sociologists have long believed that psychology can't explain what happens when people work together in complex modern societies. In contrast, most psychologists and economists believe that if we have an accurate theory of how individuals make choices and act on them, we can explain pretty much everything about social life. Social Emergence takes a new approach to these longstanding questions. Sawyer argues that societies are complex dynamical systems, and that the best way to resolve these debates is by developing the concept of emergence, focusing on multiple levels of analysis - individuals, interactions, and groups - and with a dynamic focus on how social group phenomena emerge from communication processes among individual members. This book makes a unique contribution not only to complex systems research but also to social theory.

Introduction to Applied Bayesian Statistics and Estimation for Social Scientists

Author: Scott M. Lynch
Publisher: Springer Science & Business Media
ISBN: 9780387712659
Release Date: 2007-06-30
Genre: Social Science

This book outlines Bayesian statistical analysis in great detail, from the development of a model through the process of making statistical inference. The key feature of this book is that it covers models that are most commonly used in social science research - including the linear regression model, generalized linear models, hierarchical models, and multivariate regression models - and it thoroughly develops each real-data example in painstaking detail.

What the Future Holds

Author: Richard N. Cooper
Publisher: MIT Press
ISBN: 0262532042
Release Date: 2003
Genre: Business & Economics

Social scientists from various disciplines discuss and offer predictions about the future. Predicting the future is notoriously difficult. But systematic analysis leads to clearer understanding and wiser decisions. Thinking about the future also makes social scientists focus their research into the past and present more fruitfully, with more attention to key predictors of change. This book considers how we might think intelligently about the future. Taking different methodological approaches, well-known specialists forecast likely future developments and trends in human life. The questions they address include: How many humans will there be? Will there be enough energy? How will climate change affect our lives? What patterns of work will exist? How will government work at the local, national, and world level? Will inflation remain under control? Why have past forecasts been so bad? The book concludes with a discussion of the intellectual and historical context of futurology and a look at the accuracy of predictions that were made for the year 2000. Jed.

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

Author: R. Hegselmann
Publisher: Springer Science & Business Media
ISBN: 9789401586863
Release Date: 2013-03-09
Genre: Social Science

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.