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Explore the theoretical foundations and practical applications of agent-based and individual-based modeling in this 59-minute lecture delivered by Nathaniel Osgood from the University of Saskatchewan. Delve into the core principles that govern how individual agents interact within complex systems and learn how these modeling approaches can be applied to real-world scenarios across various disciplines. Examine the mathematical frameworks underlying agent-based models and discover practical techniques for implementing individual-based simulations. Gain insights into the advantages and limitations of these modeling paradigms compared to traditional population-level approaches. Master the essential concepts needed to design, develop, and analyze agent-based models that capture emergent behaviors arising from individual-level interactions. Understand how these powerful modeling tools can be used to study complex adaptive systems in fields ranging from epidemiology and ecology to social sciences and economics.
