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Author : Gilbert, Nigel,Troitzsch, Klaus
Publisher : McGraw-Hill Education (UK)
Page : 309 pages
File Size : 55,7 Mb
Release : 2005-02-01
Category : Social Science
ISBN : 9780335216000
Social sciences -- Simulation methods. Social interaction -- Computer simulation. Social sciences -- Mathematical models. (publisher)
Author : Nigel Gilbert,Klaus Troitzsch
Publisher : McGraw-Hill Education (UK)
Page : 312 pages
File Size : 42,7 Mb
Release : 2005-02-16
Category : Social Science
ISBN : 9780335225125
What can computer simulation contribute to the social sciences? Which of the many approaches to simulation would be best for my social science project? How do I design, carry out and analyse the results from a computer simulation? Interest in social simulation has been growing rapidly worldwide as a result of increasingly powerful hardware and software and also a rising interest in the application of ideas of complexity, evolution, adaptation and chaos in the social sciences. Simulation for the Social Scientist is a practical textbook on the techniques of building computer simulations to assist understanding of social and economic issues and problems. This authoritative book details all the common approaches to social simulation, to provide social scientists with an appreciation of the literature and allow those with some programming skills to create their own simulations. New for this edition: A new chapter on designing multi-agent systems, to support the fact that multi-agent modelling has become the most common approach to simulation New examples and guides to current software Updated throughout to take new approaches into account The book is an essential tool for social scientists in a wide range of fields, particularly sociology, economics, anthropology, geography, organizational theory, political science, social policy, cognitive psychology and cognitive science. It will also appeal to computer scientists interested in distributed artificial intelligence, multi-agent systems and agent technologies.
Author : G. Nigel Gilbert,Klaus G. Troitzsch
Publisher : Unknown
Page : 296 pages
File Size : 42,8 Mb
Release : 1999
Category : Psychology
ISBN : UOM:39015048768447
Gilbert (sociology, U. of Surrey) and Troitzsch (social science informatics, U. of Koblenz-Landau, Germany) offer a practical textbook on techniques for building simulations to assist the understanding of social and economics issues. They explain what computer simulation can contribute to the social sciences, which of the many approaches to simulation would be best for a particular research project, and how to design and carry out a simulation and analyze the results. Computer scientists might also benefit from reading what functions social scientists need and what problems they have with existing packages. US distribution by Taylor and Francis. Annotation copyrighted by Book News, Inc., Portland, OR
Author : R. Hegselmann,Ulrich Mueller,Klaus G. Troitzsch
Publisher : Springer Science & Business Media
Page : 320 pages
File Size : 50,8 Mb
Release : 2013-03-09
Category : Social Science
ISBN : 9789401586863
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.
Author : Thomas M. Carsey,Jeffrey J. Harden
Publisher : SAGE Publications
Page : 304 pages
File Size : 50,9 Mb
Release : 2013-08-05
Category : Social Science
ISBN : 9781483324920
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.
Author : Gilbert,Troitzsch
Publisher : Open University Press
Page : 128 pages
File Size : 41,7 Mb
Release : 2006-03-01
Category : Electronic
ISBN : 0335221491
Author : Harold Steere Guetzkow
Publisher : Englewood Cliffs, N. J. : Prentice-Hall
Page : 256 pages
File Size : 41,8 Mb
Release : 1962
Category : Simulation methods
ISBN : UCAL:B3824571
Author : Claudio Cioffi-Revilla
Publisher : Springer
Page : 636 pages
File Size : 54,6 Mb
Release : 2017-06-29
Category : Computers
ISBN : 9783319501314
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.
Author : Rosaria Conte,Rainer Hegselmann,Pietro Terna
Publisher : Unknown
Page : 550 pages
File Size : 51,9 Mb
Release : 2014-01-15
Category : Electronic
ISBN : 3662033674
Author : Ramzi Suleiman,Klaus G. Troitzsch,Nigel Gilbert
Publisher : Springer Science & Business Media
Page : 388 pages
File Size : 46,7 Mb
Release : 2012-12-06
Category : Social Science
ISBN : 9783642517440
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.
Author : Nigel Gilbert,Rosaria Conte
Publisher : Routledge
Page : 320 pages
File Size : 48,6 Mb
Release : 2006-01-31
Category : Social Science
ISBN : 9781135367305
An exploration of the implications of developments in artificial intelligence for social scientific research, which builds on the theoretical and methodological insights provided by "Simulating societies".; This book is intended for worldwide library market for social science subjects such as sociology, political science, geography, archaeology/anthropology, and significant appeal within computer science, particularly artificial intelligence. Also personal reference for researchers.
Author : Michael M. Resch,Andreas Kaminski,Petra Gehring
Publisher : Springer
Page : 192 pages
File Size : 44,5 Mb
Release : 2017-04-07
Category : Computers
ISBN : 9783319557625
The new book series “The Science and Art of Simulation” (SAS) addresses computer simulations as a scientific activity and engineering artistry (in the sense of a technē). The first volume is devoted to three topics: 1. The Art of Exploring Computer Simulations Philosophy began devoting attention to computer simulations at a relatively early stage. Since then, the unquestioned point of view has been that computer simulation is a new scientific method; the philosophy of simulation is therefore part of the philosophy of science. The first section of this volume discusses this implicit, unchallenged assumption by addressing, from different perspectives, the question of how to explore (and how not to explore) research on computer simulations. Scientists discuss what is still lacking or considered problematic, while philosophers draft new directions for research, and both examine the art of exploring computer simulations. 2. The Art of Understanding Computer Simulations The results of computer simulations are integrated into both political and social decisions. It is implicitly assumed that the more detailed, and consequently more realistic, a computer simulation is, the more useful it will be in decision-making. However, this idea is by no means justified. Different types of computer simulations have to be differentiated, which in turn requires the specific skill of understanding computer simulation results. The articles in this section examine the capabilities and limits of simulation results in political and social contexts, exploring the art of understanding computer simulation results. 3. The Art of Knowing through Computer Simulations? The advent of computer simulation in today’s scientific practices challenges the order of science. What kind of knowledge is gained through computer simulations is the key question in this section. Computer simulations are often compared to experiments or to arguments, and the transformation of our traditional scientific notions might be more challenging than expected – these Ideas are put forward in the third section to conceptualize the art of knowing through computer simulations.
Author : Tamás Rudas,Gábor Péli
Publisher : Springer Nature
Page : 284 pages
File Size : 44,7 Mb
Release : 2021-01-22
Category : Social Science
ISBN : 9783030549367
This volume shows that the emergence of computational social science (CSS) is an endogenous response to problems from within the social sciences and not exogeneous. The three parts of the volume address various pathways along which CSS has been developing from and interacting with existing research frameworks. The first part exemplifies how new theoretical models and approaches on which CSS research is based arise from theories of social science. The second part is about methodological advances facilitated by CSS-related techniques. The third part illustrates the contribution of CSS to traditional social science topics, further attesting to the embedded nature of CSS. The expected readership of the volume includes researchers with a traditional social science background who wish to approach CSS, experts in CSS looking for substantive links to more traditional social science theories, methods and topics, and finally, students working in both fields.
Author : Edmonds, Bruce,Troitzsch, Klaus G.,Hern ndez Iglesias, Ces reo
Publisher : IGI Global
Page : 402 pages
File Size : 50,5 Mb
Release : 2007-08-31
Category : Computers
ISBN : 9781599045245
"This book, a reference survey of social simulation work comprehensively collects the most exciting developments in the field. Drawing research contributions from a vibrant community of experts on social simulation, it provides a set of unique and innovative approaches, ranging from agent-based modeling to empirically based simulations, as well as applications in business, governmental, scientific, and other contexts"--Provided by publisher.
Author : Ron Sun
Publisher : MIT Press
Page : 467 pages
File Size : 43,5 Mb
Release : 2012-07-27
Category : Science
ISBN : 9780262304474
Exploration of a new integrative intellectual enterprise: the cognitive social sciences. Research in the cognitive sciences has advanced significantly in recent decades. Computational cognitive modeling has profoundly changed the ways in which we understand cognition. Empirical research has progressed as well, offering new insights into many psychological phenomena. This book investigates the possibility of exploiting the successes of the cognitive sciences to establish a better foundation for the social sciences, including the disciplines of sociology, anthropology, economics, and political science. The result may be a new, powerful, integrative intellectual enterprise: the cognitive social sciences. The book treats a range of topics selected to capture issues that arise across the social sciences, covering computational, empirical, and theoretical approaches. The chapters, by leading scholars in both the cognitive and the social sciences, explore the relationship between cognition and society, including such issues as methodologies of studying cultural differences; the psychological basis of politics (for instance, the role of emotion and the psychology of moral choices); cognitive dimensions of religion; cognitive approaches to economics; meta-theoretical questions on the possibility of the unification of social and cognitive sciences. Combining depth and breadth, the book encourages fruitful interdisciplinary interaction across many fields.