Computational Modeling / Edition 1 available in Paperback
- Pub. Date:
- SAGE Publications
Computational modelling allows researchers to combine the rich detail of qualitative research with the rigour of quantitative and formal research, as well as to represent complex structures and processes within a theoretical model.
After an introduction to modelling, the authors discuss the role of computational methods in the social sciences. They treat computational methods, including dynamic simulation, knowledge-based models and machine learning, as a single broad class of research tools and develop a framework for incorporating them within established traditions of social science research. They provide a concise description of each method and a variety of social science illustrations, including four detailed examples.
|Series:||Quantitative Applications in the Social Sciences Series , #113|
|Edition description:||New Edition|
|Product dimensions:||5.50(w) x 8.50(h) x 0.25(d)|
About the Author
Professor of the department of political science
Table of Contents
IntroductionDynamic Simulation ModelsKnowledge-Based SystemsModels of Machine LearningEvaluating Computational Models