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Simulation For The Social Scientist
Social sciences -- Simulation methods. Social interaction -- Computer simulation. Social sciences -- Mathematical models. (publisher)
Opening Pandora's Box
This book proposes a fresh approach to sociological analysis and, in particular, to the analysis of scientific culture. It moves away from previous studies, which have tended to focus on scientists' actions and beliefs to show that analysis of scientific discourse can be productive and revealing. The book demonstrates that scientists produce varying accounts of their actions and beliefs in different social situations. Rather than attempting to extract one coherent interpretation from these diverse accounts, the study identifies two basic scientific repertoires and shows how scientists use them to create their discourse. This provides a point of departure for more complex analytical topics. Discourse analysis is applied to show how different degrees of 'consensus' can be ascribed to the same group of scientists at a given moment in time through the application of standard interpretive techniques. Finally, discourse analysis is used to explore scientists' humour, a neglected topic that is shown to provide important insights into the normally hidden interpretive regularities which underlie the cultural diversity of science.
Researching Social Life
`This new edition of this excellent guide maintains the standard of the original whilst taking full account of developments in both methodological discussion and the techniques of social research. The organization of the text around the research process is a great strength of the text' - David Byrne, University of Durham Preview the Third Edition's opening chapter and guide to its teaching and learning features designed to stimulate student engagement with the content here The Third Edition of Nigel Gilbert's hugely successful Researching Social Life covers the whole range of methods from quantitative to qualitative in a down-to-earth and unthreatening manner. Gilbert's text offers the best ...
Researching Social Life
Reviews of the First Edition `... an ideal primary text for an undergraduate course in social research methods' - Teaching Sociology `This is a very impressive book. It is admirably written in clear, straightforward language, so that I can easily imagine undergraduates responding well to its use as a core text.' - Geoff Payne, Professor of Social Research, University of Plymouth `Provides an excellent introductory methods text that covers every stage of quantitative and qualitative research.' - Journal of Social Policy `an ideal text for undergraduates in a variety of disciplines who are taking research methods courses'
Agent-Based Models
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.
Agent-Based Models
Agent-based simulation has become increasingly popular as a modeling approach in the social sciences because it enables researchers to build models where individual entities and their interactions are directly represented. The Second Edition of Nigel Gilbert′s Agent-Based Models introduces this technique; considers a range of methodological and theoretical issues; shows how to design an agent-based model, with a simple example; offers some practical advice about developing, verifying and validating agent-based models; and finally discusses how to plan an agent-based modelling project, publish the results and apply agent-based modeling to formulate and evaluate social and economic policies.
Viability and Resilience of Complex Systems
One common characteristics of a complex system is its ability to withstand major disturbances and the capacity to rebuild itself. Understanding how such systems demonstrate resilience by absorbing or recovering from major external perturbations requires both quantitative foundations and a multidisciplinary view on the topic. This book demonstrates how new methods can be used to identify the actions favouring the recovery from perturbations. Examples discussed include bacterial biofilms resisting detachment, grassland savannahs recovering from fire, the dynamics of language competition and Internet social networking sites overcoming vandalism. The reader is taken through an introduction to th...
Social Science Microsimulation
This book gives an overview of the state of the art in five different approaches to social science simulation on the individual level. The volume contains microanalytical simulation models designed for policy implementation and evaluation, multilevel simulation methods designed for detecting emergent phenomena, dynamical game theory applications, the use of cellular automata to explain the emergence of structure in social systems, and multi-agent models using the experience from distributed artificial intelligence applied to special phenomena. The book collects the results of an international conference which brought together social scientists and computer scientists both engaged in a wide range of simulation approaches for the first time.
Understanding Social Statistics
`This book is highly recommended for libraries and departments to adopt. If I had to teach a statistics class for sociology students this would be a book I would surely choose. The book achieves two very important goals: it teaches students a software package and trains them in the statistical analysis of sociological data′ - Journal of Applied Statistics This fully revised, expanded and updated Second Edition of the best-selling textbook by Jane Fielding and Nigel Gilbert provides a comprehensive yet accessible guide to quantitative data analysis. Designed to help take the fear out of the use of numbers in social research, this textbook introduces students to statistics as a powerful mean...
Simulating Societies
The most exciting and productive areas of academic inquiry are often where the interests of two disciplines meet. This is certainly the case for the subject of this book, originally published in 1994, which explores the contribution that computer-based modelling and artificial intelligence can make to understanding fundamental issues in social science. Simulating Societies shows how computer simulations can help to clarify theoretical approaches, contribute to the evaluation of alternative theories, and illuminate one of the major issues of the social sciences: how social phenomena can "emerge" from individual action. The authors discuss how simulation models can be constructed using recentl...
