Methodological Investigations in Agent-Based Modelling: With Applications For The Social Sciences (Methodos Ser. #13)

By: Eric Silverman and Daniel Courgeau and Robert Franck and Jakub Bijak and Jason Hilton and Jason Noble and John Bryden

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Synopsis: This open access book examines the methodological complications of using complexity science concepts within the social science domain. The opening chapters take the reader on a tour through the development of simulation methodologies in the fields of artificial life and population biology, then demonstrates the growing popularity and relevance of these methods in the social sciences. Following an in-depth analysis of the potential impact of these methods on social science and social theory, the text provides substantive examples of the application of agent-based models in the field of demography. This work offers a unique combination of applied simulation work and substantive, in-depth philosophical analysis, and as such has potential appeal for specialist social scientists, complex systems scientists, and philosophers of science interested in the methodology of simulation and the practice of interdisciplinary computing research.

Book Quality:: Publisher Quality
ISBN-13:: 9783319724089
Related ISBNs:: 9783319724065
Publisher:: Springer International Publishing
Date of Addition:: 08/10/18
Copyrighted By:: Springer
Adult content:: No
Language:: English
Has Image Descriptions:: No
Categories:: Nonfiction, Science, Computers and Internet, Social Studies, Mathematics and Statistics, Philosophy
Submitted By:: Bookshare Staff
Usage Restrictions:: This is a copyrighted book.