TY  - BOOK
AU  - Silverman,Eric
ED  - SpringerLink (Online service)
TI  - Methodological Investigations in Agent-Based Modelling: With Applications for the Social Sciences 
T2  - Methodos Series, Methodological Prospects in the Social Sciences,
SN  - 9783319724089
AV  - HM511-538 
U1  - 301.01 23
PY  - 2018///
CY  - Cham
PB  - Springer International Publishing, Imprint: Springer
KW  - Sociology
KW  - Methodology
KW  - Computer simulation
KW  - Demography
KW  - Population
KW  - Science
KW  - Philosophy
KW  - Philosophy and social sciences
KW  - Sociological Methods
KW  - Computer Modelling
KW  - Population and Demography
KW  - Philosophy of Science
KW  - Philosophy of the Social Sciences
N1  - 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
N2  - 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
UR  - https://doi.org/10.1007/978-3-319-72408-9
ER  -