Methodological Investigations in Agent-Based Modelling - With Applications for the Social Sciences (Paperback, Softcover reprint of the original 1st ed. 2018)

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.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Methodos Series, 13
Release date:	2019
First published:	2018
Authors:	Eric Silverman
Contributors:	Daniel Courgeau • Robert Franck • Jakub Bijak • Jason Hilton • Jason Noble • John Bryden
Dimensions:	235 x 155 x 14mm (L x W x T)
Format:	Paperback
Pages:	235
Edition:	Softcover reprint of the original 1st ed. 2018
ISBN-13:	978-3-03-010195-4
Categories:	Books > Science & Mathematics > Science: general issues > Philosophy of science Books > Computing & IT > Applications of computing > Computer modelling & simulation Books > Humanities > Philosophy > Topics in philosophy > Social & political philosophy Books > Social sciences > Sociology, social studies > Social research & statistics > General Books > Social sciences > Sociology, social studies > Population & demography > General Books > Philosophy > Topics in philosophy > Social & political philosophy
LSN:	3-03-010195-9
Barcode:	9783030101954

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