Transmission of economic status, social dilemmas, or other area of application). Social networks, origins of cooperation/civilization, intergenerational an interest in real-world social phenomena where computational approaches canīe usefully applied (e.g., the environment, market microstructure, conflict,.Run and construct simple agent-based models an interest in learning a few programming tools that will allow you to.basic skills in critical thinking and analytical reasoning.It is specifically designed as an introduction to This course has no prerequisite computer-science, programming, or advanced Or projects for those students who develop a long-term interest in This course will provide foundations for more advanced work in subsequent courses the construction and analysis agent-based simulations (using Python or Netlogo).Nature of social complexity provided by agent-based methods the unique and specific insights about society, social phenomena at all scales, and the.the scope of existing social simulation models.the variety of ABS research programs across the social-science disciplines.historical aspects of how this new scientific frontier is affecting.motivations for the use of agent-based models in social-science theory and research,.This course provides an introduction to the following: So we also draw upon other social sciences (including anthropology,Ĭommunication, geography, history, linguistics, political science, sociology, However CSS is inherently interdisciplinary, The courseĮmphasizes a economic applications of ABS. Method for the investigation of complex social phenomena. This course is an introduction to a ABS as a Computational social science (CSS) is a new social-science frontier.Īgent-based simulation (ABS), also called agent-based modeling (ABM), is a
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