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Author Silverman, Eric, author.

Title Methodological investigations in agent-based modelling : with applications for the social sciences / by Eric Silverman.

Publication Info. Cham, Switzerland : Springer, [2018]

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Location Call No. Status
 University of Saint Joseph: Pope Pius XII Library - Internet  WORLD WIDE WEB E-BOOK Springer    Downloadable
Please click here to access this Springer resource
 University of Saint Joseph: Pope Pius XII Library - Internet  WORLD WIDE WEB E-BOOK Springer    Downloadable
Please click here to access this Springer resource
Description 1 online resource (xxiii,, 235 pages) : illustrations.
text file PDF rda
Series Methodos Series, Methodological Prospects in the Social Sciences ; 13
Methodos Series, Methodological Prospects in the Social Sciences ; 13.
Contents 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.
Summary 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.
Language English.
Local Note SpringerLink Springer Nature Open Access eBooks
Subject Social sciences -- Mathematical models.
Intelligent agents (Computer software)
Economics, finance, business & management.
Computer simulation. (OCoLC)fst00872518
Demography. (OCoLC)fst00890158
Philosophy and science. (OCoLC)fst01060832
Philosophy and social sciences. (OCoLC)fst01060834
Social sciences. (OCoLC)fst01122877
Indexed Term ABM
Agent-Based Modelling
AI
Artificial Intelligence
Computational social science
Population sciences
Social simulation
Genre/Form Electronic books.
Electronic books.
Other Form: Printed edition: 9783319724065
ISBN 9783319724089
3319724088
9783658172756
3658172754
9783658172763
3658172762
9783319724072 (print)
331972407X
9783030101954 (print)
3030101959
3319724061
9783319724065
Standard No. 10.1007/978-3-319-72408-9 doi
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