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Simulation For The Social Scientist
Social sciences -- Simulation methods. Social interaction -- Computer simulation. Social sciences -- Mathematical models. (publisher)
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 ...
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.
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.
Analyzing Tabular Data
First published in 1993, Analyzing Tabular Data is an accessible text introducing a powerful range of analytical methods. Empirical social research almost invariably requires the presentation and analysis of tables, and this book is for those who have little prior knowledge of quantitative analysis or statistics, but who have a practical need to extract the most from their data. The book begins with an introduction to the process of data analysis and the basic structure of cross-tabulations. At the core of the methods described in the text is the loglinear model. This and the logistic model, are explained and their application to causal modelling, to event history analysis, and to social mob...
Agent-Based Modelling in Economics
Agent-based modelling in economics Lynne Hamill and Nigel Gilbert, Centre for Research in Social Simulation (CRESS), University of Surrey, UK New methods of economic modelling have been sought as a result of the global economic downturn in 2008.This unique book highlights the benefits of an agent-based modelling (ABM) approach. It demonstrates how ABM can easily handle complexity: heterogeneous people, households and firms interacting dynamically. Unlike traditional methods, ABM does not require people or firms to optimise or economic systems to reach equilibrium. ABM offers a way to link micro foundations directly to the macro situation. Key features: Introduces the concept of agent-based m...
Simulation for the Social Scientist
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 ...
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.
From Postgraduate to Social Scientist
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.
Modelling Norms
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.
