Scott Page on Complex Systems Thinking and Diversity

Traditional economic models often rely on tidy assumptions: rational agents, stable equilibria, linear relationships and so on. But those models can struggle to capture the messy reality of actual systems. Societies are constantly evolving. Assumptions can shift. And isolating the variables that underlie such changes can be daunting.

Scott Page is the John Seely Brown Distinguished University Professor of Complexity, Social Science, and Management at the University of Michigan. He joins host Steven Durlauf to discuss the relatively brief history of complex systems thinking and its impact on the social sciences. They also discuss Page’s work on diversity and its capacity to create more robust systems.