
Can digital life evolve in a random universe? A Google VP shares new research bridging computer science and theoretical biology.
Professor
Blaise Agüera y Arcas is a professor at the Santa Fe Institute, researching the foundations of complex systems, computing, life, and intelligence.
The principles of complex systems, such as emergent behavior and network effects, offer a powerful lens for analyzing economic phenomena, institutional evolution, and historical trajectories beyond traditional equilibrium models.
The SFI's focus on emergent properties and feedback loops in complex systems provides a framework for understanding how institutional structures, as discussed in 'Why Nations Fail,' lead to divergent economic outcomes.