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Simulation For The Social Scientist

Simulation For The Social Scientist Author Gilbert, Nigel
ISBN-10 9780335225125
Release 2005-02-01
Pages 295
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Social sciences -- Simulation methods. Social interaction -- Computer simulation. Social sciences -- Mathematical models. (publisher)

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

Modelling and Simulation in the Social Sciences from the Philosophy of Science Point of View Author R. Hegselmann
ISBN-10 0792341252
Release 1996-06-30
Pages 318
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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.

Monte Carlo Simulation and Resampling Methods for Social Science

Monte Carlo Simulation and Resampling Methods for Social Science Author Thomas M. Carsey
ISBN-10 9781483324920
Release 2013-08-06
Pages 304
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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.

From Postgraduate to Social Scientist

From Postgraduate to Social Scientist Author Nigel Gilbert
ISBN-10 0761944605
Release 2006-03-03
Pages 226
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From Postgraduate to Social Scientist is essential reading for any postgraduate or new researcher who is interested in a career in the social sciences. The book describes the skills needed for success in moving from being a student to becoming an academic or professional social scientist. Written by experts in the field, Gilbert et al., this book offers a unique insider's view of how to make the transition. By adopting a clear and accessible approach, this book encourages students embarking on the journey towards becoming a social scientist to engage with every aspect of the process.

Introduction to Computational Social Science

Introduction to Computational Social Science Author Claudio Cioffi-Revilla
ISBN-10 9783319501314
Release 2017-06-22
Pages 618
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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.

Social Science Literature

Social Science Literature Author Wesley L. Gould
ISBN-10 9781400872534
Release 2015-03-08
Pages 660
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This bibliography is a companion volume to International Law and the Social Sciences. One of the aims of the earlier work by Wesley L. Gould and Michael Barkun was to show how social science concepts could be employed in research in international law. With the support and encouragement of the American Society of international Law, they have now compiled a broad and thorough survey of social science literature of potential usefulness to students and practitioners of international law. Arranged by topics, the works cited range over political science, economics, sociology, anthropology, geography, and many interdisciplinary fields. Material on possible methodological approaches is also included. Each citation is fully and critically annotated and cross-indexed. Originally published in 1972. The Princeton Legacy Library uses the latest print-on-demand technology to again make available previously out-of-print books from the distinguished backlist of Princeton University Press. These editions preserve the original texts of these important books while presenting them in durable paperback and hardcover editions. The goal of the Princeton Legacy Library is to vastly increase access to the rich scholarly heritage found in the thousands of books published by Princeton University Press since its founding in 1905.

Computational Modeling

Computational Modeling Author Charles S. Taber
ISBN-10 0803972709
Release 1996-03-21
Pages 95
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Computational modelling allows researchers to combine the rich detail of qualitative research with the rigour of quantitative and formal research, as well as to represent complex structures and processes within a theoretical model. After an introduction to modelling, the authors discuss the role of computational methods in the social sciences. They treat computational methods, including dynamic simulation, knowledge-based models and machine learning, as a single broad class of research tools and develop a framework for incorporating them within established traditions of social science research. They provide a concise description of each method and a variety of social science illustrations, including four detailed examples.

Simulating Social Phenomena

Simulating Social Phenomena Author Rosaria Conte
ISBN-10 STANFORD:36105019411425
Release 1997-08-19
Pages 536
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In this book experts from quite different fields present simulations of social phenomena: economists, sociologists, political scientists, psychologists, cognitive scientists, organisational scientists, decision scientists, geographers, computer scientists, AI and AL scientists, mathematicians and statisticians. They simulate markets, organisations, economic dynamics, coalition formation, the emergence of cooperation and exchange, bargaining, decision making, learning, and adaptation. The history, problems, and perspectives of simulating social phenomena are explicitly discussed.

Cooperative Agents

Cooperative Agents Author N.J. Saam
ISBN-10 9789401711777
Release 2013-06-29
Pages 216
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Agent-based modelling on a computer appears to have a special role to play in the development of social science. It offers a means of discovering general and applicable social theory, and grounding it in precise assumptions and derivations, whilst addressing those elements of individual cognition that are central to human society. However, there are important questions to be asked and difficulties to overcome in achieving this potential. What differentiates agent-based modelling from traditional computer modelling? Which model types should be used under which circumstances? If it is appropriate to use a complex model, how can it be validated? Is social simulation research to adopt a realist epistemology, or can it operate within a social constructionist framework? What are the sociological concepts of norms and norm processing that could either be used for planned implementation or for identifying equivalents of social norms among co-operative agents? Can sustainability be achieved more easily in a hierarchical agent society than in a society of isolated agents? What examples are there of hybrid forms of interaction between humans and artificial agents? These are some of the sociological questions that are addressed.

Introduction to Discrete Event Simulation and Agent based Modeling

Introduction to Discrete Event Simulation and Agent based Modeling Author Theodore T. Allen
ISBN-10 0857291394
Release 2011-01-12
Pages 215
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Discrete event simulation and agent-based modeling are increasingly recognized as critical for diagnosing and solving process issues in complex systems. Introduction to Discrete Event Simulation and Agent-based Modeling covers the techniques needed for success in all phases of simulation projects. These include: • Definition – The reader will learn how to plan a project and communicate using a charter. • Input analysis – The reader will discover how to determine defensible sample sizes for all needed data collections. They will also learn how to fit distributions to that data. • Simulation – The reader will understand how simulation controllers work, the Monte Carlo (MC) theory behind them, modern verification and validation, and ways to speed up simulation using variation reduction techniques and other methods. • Output analysis – The reader will be able to establish simultaneous intervals on key responses and apply selection and ranking, design of experiments (DOE), and black box optimization to develop defensible improvement recommendations. • Decision support – Methods to inspire creative alternatives are presented, including lean production. Also, over one hundred solved problems are provided and two full case studies, including one on voting machines that received international attention. Introduction to Discrete Event Simulation and Agent-based Modeling demonstrates how simulation can facilitate improvements on the job and in local communities. It allows readers to competently apply technology considered key in many industries and branches of government. It is suitable for undergraduate and graduate students, as well as researchers and other professionals.

Information Technology For The Social Scientist

Information Technology For The Social Scientist Author Ray Lee University of London.
ISBN-10 9781134218141
Release 2014-05-01
Pages 240
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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.

The SAGE Handbook of Social Science Methodology

The SAGE Handbook of Social Science Methodology Author William Outhwaite
ISBN-10 9781446206454
Release 2007-10-18
Pages 640
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"An excellent guidebook through different approaches to social science measurement, including the all-important route-maps that show us how to get there." - Roger Jowell, City University "In this wide-ranging collection of chapters, written by acknowledged experts in their fields, Outhwaite and Turner have brought together material in one volume which will provide an extremely important platform for consideration of the full range of contemporary analytical and methodological issues." - Charles Crothers, Auckland University of Technology This is a jewel among methods Handbooks, bringing together a formidable collection of international contributors to comment on every aspect of the various central issues, complications and controversies in the core methodological traditions. It is designed to meet the needs of those disciplinary and nondisciplinary problem-oriented social inquirers for a comprehensive overview of the methodological literature. The text is divided into 7 sections: Overviews of methodological approaches in the social sciences Cases, comparisons and theory Quantification and experiment Rationality, complexity and collectivity Interpretation, critique and postmodernity Discourse construction Engagement. Edited by two leading figures in the field, the Handbook is a landmark work in the field of research methods. More than just a 'cookbook' that teaches readers how to master techniques, it will give social scientists in all disciplines an appreciation for the full range of methodological debates today, from the quantitative to the qualitative, giving them deeper and sharpen insights into their own research questions. It will generate debate, solutions and a series of questions for researchers to exploit and develop in their research and teaching.

Modelling Norms

Modelling Norms Author Corinna Elsenbroich
ISBN-10 9789400770522
Release 2013-07-05
Pages 213
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The book focusses on questions of individual and collective action, the emergence and dynamics of social norms and the feedback between individual behaviour and social phenomena. It discusses traditional modelling approaches to social norms and shows the usefulness of agent-based modelling for the study of these micro-macro interactions. Existing agent-based models of social norms are discussed and it is shown that so far too much priority has been given to parsimonious models and questions of the emergence of norms, with many aspects of social norms, such as norm-change, not being modelled. Juvenile delinquency, group radicalisation and moral decision making are used as case studies for agent-based models of collective action extending existing models by providing an embedding into social networks, social influence via argumentation and a causal action theory of moral decision making. The major contribution of the book is to highlight the multifaceted nature of the dynamics of social norms, consisting not only of emergence, and the importance of embedding of agent-based models into existing theory.

Computer Science in Social and Behavioral Science Education

Computer Science in Social and Behavioral Science Education Author Daniel Edgar Bailey
ISBN-10 087778101X
Release 1978
Pages 492
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Computer Science in Social and Behavioral Science Education has been writing in one form or another for most of life. You can find so many inspiration from Computer Science in Social and Behavioral Science Education also informative, and entertaining. Click DOWNLOAD or Read Online button to get full Computer Science in Social and Behavioral Science Education book for free.

Unobtrusive methods in social research

Unobtrusive methods in social research Author Raymond M. Lee
ISBN-10 0335200516
Release 2000
Pages 175
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Webb et al's 1966 classic, Unobtrusive Methods introduced the concept of unobtrusive research. Since then very little else has been written in the field. This book revisits the ground covered by Webb et al, recontextualizing it for the information age and putting the case for an increased use of unobtrusive methods. Unobtrusive Methods in Social Research aims to provide an updated discussion of the role of unobtrusive methods in social research. It explores the theoretical underpinnings of Webb et al's approach in order to understand more explicitly how unobtrusive methods are generated and examines some of the wider ethical issues raised by the use of unobtrusive methods in social research. In addition, it offers a discussion of using the Interact as a tool for unobtrusive research. Unobtrusive Methods in Social Research is a worthy successor to Webb et al. It is up to date, comprehensive and clearly written. It will help undergraduates to understand what has become a standard topic on research methods courses and it is hoped that it will encourage postgraduate students and professionals to make more use of unobtrusive methods.

Intelligent Agents and Multi Agent Systems

Intelligent Agents and Multi Agent Systems Author Bui The Duy
ISBN-10 9783540896739
Release 2008-11-24
Pages 406
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PRIMA 2008 was the 11th in a series of conferences gathering researchers - voted to developing intelligent agents and multi-agent technologies from Asia and the Paci?c regions. From its ?rst incarnation over a decade ago, PRIMA has emerged as a signi?cant international forum, facilitating the exchange and dissemination of innovative research from around the globe. PRIMA 2008 was held in Vietnam, a tribute to this country’s emerging s- enti?c vitality and importance as a developing innovation center. The Program Committee received 56 submissions from 20 countries. Many of these papers are the work of PhD or Masters students from Asian countries including - rea, Japan, Indonesia, Malaysia, Iran, India, and Vietnam. In accordance with the rules, each submission was carefully peer-reviewed by three Program C- mittee referees. Only 19 submissions were accepted as regular papers, with a competitive rate of 33%. Additionally, the Program Committee decided to accept 22 short papers mainly written by graduate students, allowing our young colleagues an opp- tunity to present their work and new perspectives. These fresh perspectives enhanced our experienced of the conference and complemented the high quality of the professional papers submitted.

Simulation and gaming in social science

Simulation and gaming in social science Author Michael Inbar
ISBN-10 UOM:39015016293337
Release 1972
Pages 313
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Principes et technique de la simulation en tant qu'instrument du recherche et de pédagogie. Etude de cas