Methodological Investigations in Agent-Based Modelling : With Applications for the Social Sciences / by Eric Silverman
(Methodos Series, Methodological Prospects in the Social Sciences. ISSN:25429892 ; 13)
Publisher | (Cham : Springer International Publishing : Imprint: Springer) |
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Year | 2018 |
Edition | 1st ed. 2018. |
Authors | *Silverman, Eric author SpringerLink (Online service) |
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Links to the text | Location | Volume | Call No. | Barcode No. | Status | Comments | ISBN | Printed | Restriction | Reserve |
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Links to the text | Library Off-campus access |
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OB00176507 | Springer Social Sciences eBooks (電子ブック) | 9783319724089 |
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Material Type | E-Book |
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Media type | 機械可読データファイル |
Size | XXIII, 235 p. 18 illus : online resource |
Notes | 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. Open Access 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 HTTP:URL=https://doi.org/10.1007/978-3-319-72408-9 |
Subjects | LCSH:Sociology—Methodology LCSH:Computer simulation LCSH:Demography LCSH:Population LCSH:Science—Philosophy LCSH:Philosophy and social sciences FREE:Sociological Methods FREE:Computer Modelling FREE:Population and Demography FREE:Philosophy of Science FREE:Philosophy of the Social Sciences |
Classification | LCC:HM511-538 DC23:301.01 |
ID | 8000015079 |
ISBN | 9783319724089 |
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