Explore agent-based modeling and its applications in social sciences through this comprehensive lecture by Bill Rand. Learn about emergence, non-linear effects, and the benefits of appropriate representation in complex systems. Discover when to use agent-based modeling (ABM), its advantages over other modeling approaches, and its various uses including description, explanation, experimentation, and prediction. Gain insights into the limitations and resistance to ABM, as well as its potential for education, communication, and thought experiments. Delve into concepts like heterogeneity, local interactions, adaptation, and the connection between complex systems, ABM, and psychohistory.