- Provides a comprehensive introduction to epistemological, theoretical and methodological features of agent-based modelling in sociology through various discussions and examples.
- Presents the pros and cons of using agent-based models in sociology.
- Explores agent-based models in combining quantitative and qualitative aspects, and micro- and macro levels of analysis.
- Looks at how to pose an agent-based research question, identifying the model building blocks, and how to validate simulation results.
- Features examples of agent-based models that look at crucial sociology issues.
- Supported by an accompanying website featuring data sets and code for the models included in the book.
Agent-Based Computational Sociology is written in a common sociological language and features examples of models that look at all the traditional explanatory challenges of sociology. Researchers and graduate students involved in the field of agent-based modelling and computer simulation in areas such as social sciences, cognitive sciences and computer sciences will benefit from this book.
Nyckelord: Statistics for Social Sciences, agent-based models, agent based research question, social phenomena, computational methods, quality generalization, sociology research methods, sociology simulation