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John Miller is a professor in the Social Decision Sciences Department at Carnegie Mellon University. His research focuses on the complex adaptive behavior that emerges within social systems, aiming to understand the principles that lead to aggregate patterns from simple interactions among individual adaptive agents. He advocates for a methodological approach that leverages computational methods as tools for modeling complex systems, and he emphasizes the necessity of new theoretical directions to better analyze nonlinear and disequilibrium behaviors in such systems. Through the analysis of computational models made up of interacting artificial adaptive agents, he explores central social phenomena such as the dynamics of political platforms in spatial elections, the emergence of cooperation through strategic choices, and behaviors in auction markets. His work spans experimental and mathematical inquiries, where he strives to uncover the rational limits of cooperation and aims for a precise characterization of dynamic behaviors in complex adaptive systems. Miller's contributions, which include theoretical frameworks informed by findings in physics, chemistry, and biology, focus on uncovering new mathematical models that connect seemingly disparate adaptive systems.
Carnegie Mellon University • Pittsburgh, PA
Teaching and conducting research in complex adaptive systems.
Admission is extremely competitive with no strict GPA cut-offs; holistic review is used.