
Methodological Investigations in Agent-Based Modelling
With Applications for the Social Sciences
Eric Silverman(Author)
Springer (Publisher)
Published on 4. January 2019
Book
Paperback/Softback
XXIII, 235 pages
978-3-030-10195-4 (ISBN)
Description
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.
More details
Series
Edition
Softcover Reprint of the Original 1st 2018 ed.
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Illustrations
18 s/w Abbildungen
XXIII, 235 p. 18 illus.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 15 mm
Weight
400 gr
ISBN-13
978-3-030-10195-4 (9783030101954)
DOI
10.1007/978-3-319-72408-9
Schweitzer Classification
Other editions
Additional editions

Eric Silverman
Methodological Investigations in Agent-Based Modelling
With Applications for the Social Sciences
Book
03/2018
Springer
€53.49
Shipment within 10-15 days
Persons
Author
Contributions
Content
Part I Agent-Based Models: 1 Introduction.- 2 Simulation and Artificial Life.- 3 Making the Artificial Real.- 4 Modelling in Population Biology.- Part II Modelling Social Systems: 5 Modelling for the Social Sciences.- 6 Analysis: Frameworks and Theories.- 7 Schelling: A Success for Simplicity.- 8 Conclusions Part III Case Study: Simulation in Demography.- 9 Modelling in Demography: From Statistics to Simulations.- 10 Model-Based Demography in Practice: I.- 11 Model-Based Demography in Practice: II.- 12 Conclusions.