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Organization, Regulations, and Courses 2023-24

QSS 30.07 Simulating Social Systems: Complexity and Society

In this course we will learn the science and art of "agent-based modeling," the simulation of social phenomena with computer models. Social outcomes seem complex, but that complexity often results from many agents following very simple rules. We will discover the science of spontaneous social order, learning to program in a simple computer language for writing social simulations, and studying models by sociologists, economists, psychologists, political scientists, philosophers, historians, and even computer scientists and physicists.



Degree Requirement Attributes


The Timetable of Class Meetings contains the most up-to-date information about a course. It includes not only the meeting time and instructor, but also its official distributive and/or world culture designation. This information supersedes any information you may see elsewhere, to include what may appear in this ORC/Catalog or on a department/program website. Note that course attributes may change term to term therefore those in effect are those (only) during the term in which you enroll in the course.