The emergence of new viruses is often unpredictable, jumping as they might from infecting one species to another. A November ...

We are building a theoretical framework that will guide the creation of artificial agents that adjust their neural networks (brains) to feedback from their bodies and surroundings -- in essence to ...

SFI has consistently nurtured relationships with insightful practitioners and radical innovators. In robust discussions, ...

No matter how mundane or life-changing, the decisions we make are necessarily based on whatever limited information is ...

Fifty-six participants from six continents met at SFI for the 2024 Postdocs in Complexity Global Summit on September 23–26.

In a new PNAS Perspective, a team of authors argues that stochastic thermodynamics provides the mathematical tools needed to ...

Complex Systems Summer School (CSSS) offers an intensive four-week introduction to complex behavior in mathematical, physical, living, and social systems. CSSS brings together graduate students, ...

This paper tests two of the simplest and most popular trading rules--moving average and trading range break, by utilizing a very long data series, the Dow Jones index from 1897 to 1986. Standard ...

Swarm is a multi-agent software platform for the simulation of complex adaptive systems. In the Swarm system the basic unit of simulation is the “swarm,” a collection of agents executing a schedule of ...

There’s an argument to be made that if we train AI systems to learn the way babies do, we’ll get them closer to human-like intelligence. But how our own learning development functions in babyhood is ...

The SFI Undergraduate Complexity Research (UCR) program is a 10-week residential experience in complexity science research. Students can select from a menu of projects, or develop a project in ...

A historical archive of SFI's in-house preprint series, retired in 2017.