Sachs, M. K.,Heien, E. M.,Turcotte, D. L.,Yikilmaz, M. B.,Rundle, J. B.,Kellogg, L. H.
Half a century ago, economic research took a little-noticed yet dramatic departure from the study of concepts most people might be familiar with from Econ 101. The field shifted from an almost ...
Extraterrestrial and artificial life have long captivated the human mind. Knowing only the building blocks of our own biosphere, can we predict how life may exist on other planets? What factors will ...
As city population grows, so does violent crime, contagious diseases, and per-capita GDP. A significant body of research has investigated what drives this scaling relationship, examining factors ...
On December 19, the SFI Press published Volume 4 of Foundational Papers in Complexity Science. Following the publication of Volumes 1 and 2 in May and Volume 3 in September, this concluding book ...
A historical archive of SFI's in-house preprint series, retired in 2017.
Through meetings, schools, community events, and media, we invite curiosity-driven individuals to share our discoveries and support complex systems science. For more than 35 years, a small team of ...
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 ...
In this work we examine studies from different disciplines which lead us to hypothesize that human altruism can be intrinsically rewarding and, given its plasticity, is modulated by social contexts.
The thermodynamic restrictions on all systems that perform computation provide major challenges to modern design of computers. For example, at present ~5% of US energy consumption is used to run ...
Hunter Fraser is Professor of Biology at Stanford University, where he leads a research laboratory focused on evolutionary genomics. Fraser became involved with SFI as an Undergraduate Complexity ...
An exploratory technique is introduced for investigating how much of the irregularity in an aperiodic time series is due to low-dimensional chaotic dynamics, as opposed to stochastic or ...