1# Library to Find Best eBook for Read
Author : Gilbert, Nigel
Release : 2005-02-01
Genre : Social Science
Kind : eBook
Book Rating : 005/5 ( reviews)
Book Synopsis Simulation For The Social Scientist by : Gilbert, Nigel
Download or read book Simulation For The Social Scientist written by Gilbert, Nigel. This book was released on 2005-02-01. Available in PDF, EPUB and Kindle. Book excerpt: Social sciences -- Simulation methods. Social interaction -- Computer simulation. Social sciences -- Mathematical models. (publisher)
Author : Nigel Gilbert
Release : 2005-02-16
Genre : Social Science
Kind : eBook
Book Rating : 128/5 ( reviews)
Book Synopsis Simulation for the Social Scientist by : Nigel Gilbert
Download or read book Simulation for the Social Scientist written by Nigel Gilbert. This book was released on 2005-02-16. Available in PDF, EPUB and Kindle. Book excerpt: 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
Release : 1999
Genre : Psychology
Kind : eBook
Book Rating : /5 ( reviews)
Book Synopsis Simulation for the Social Scientist by : G. Nigel Gilbert
Download or read book Simulation for the Social Scientist written by G. Nigel Gilbert. This book was released on 1999. Available in PDF, EPUB and Kindle. Book excerpt: 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 : Thomas M. Carsey
Release : 2013-08-05
Genre : Social Science
Kind : eBook
Book Rating : 923/5 ( reviews)
Book Synopsis Monte Carlo Simulation and Resampling Methods for Social Science by : Thomas M. Carsey
Download or read book Monte Carlo Simulation and Resampling Methods for Social Science written by Thomas M. Carsey. This book was released on 2013-08-05. Available in PDF, EPUB and Kindle. Book excerpt: Taking the topics of a quantitative methodology course and illustrating them through Monte Carlo simulation, this book 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 : R. Hegselmann
Release : 2013-03-09
Genre : Social Science
Kind : eBook
Book Rating : 861/5 ( reviews)
Book Synopsis Modelling and Simulation in the Social Sciences from the Philosophy of Science Point of View by : R. Hegselmann
Download or read book Modelling and Simulation in the Social Sciences from the Philosophy of Science Point of View written by R. Hegselmann. This book was released on 2013-03-09. Available in PDF, EPUB and Kindle. Book excerpt: 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.
