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- 260 pages
- 10 hours of reading
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Focusing on the intersection of complexity science and social sciences, this open access book explores the evolution of simulation methodologies, particularly in artificial life and population biology. It highlights their increasing relevance in social sciences, providing a thorough analysis of their implications for social theory. Additionally, it presents practical examples of agent-based models in demography, blending applied simulation with philosophical insights. This unique approach appeals to social scientists, complex systems researchers, and philosophers interested in interdisciplinary methodologies.
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Methodological Investigations in Agent-Based Modelling, Eric Silverman
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- Released
- 2019
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- (Paperback)
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