TY - BOOK ID - 32811337 TI - Methodological Investigations in Agent-Based Modelling : With Applications for the Social Sciences PY - 2018 SN - 3319724088 3319724061 9783319724089 PB - Springer Nature DB - UniCat KW - Social sciences. KW - Philosophy and science. KW - Philosophy and social sciences. KW - Computer simulation. KW - Demography. KW - Social Sciences. KW - Methodology of the Social Sciences. KW - Simulation and Modeling. KW - Philosophy of Science. KW - Philosophy of the Social Sciences. KW - Historical demography KW - Social sciences KW - Population KW - Vital statistics KW - Computer modeling KW - Computer models KW - Modeling, Computer KW - Models, Computer KW - Simulation, Computer KW - Electromechanical analogies KW - Mathematical models KW - Simulation methods KW - Model-integrated computing KW - Social sciences and philosophy KW - Science and philosophy KW - Science KW - Behavioral sciences KW - Human sciences KW - Sciences, Social KW - Social science KW - Social studies KW - Civilization KW - Methodology. KW - Philosophy. KW - Social philosophy KW - Social theory KW - Normal science KW - Philosophy of science KW - Population sciences KW - Artificial Intelligence KW - Agent-Based Modelling KW - AI KW - Social simulation KW - ABM KW - Computational social science UR - https://www.unicat.be/uniCat?func=search&query=sysid:32811337 AB - 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. ER -