A new Entropy paper analyzes games with players who were subject to error, or who were “boundedly rational.”
Aug. 5-7, SFI hosts its second working group on cumulative cultural evolution, led by Vanessa Ferdinand, Rob Boyd, and Bill Thompson.
A new paper in Animal Behaviour lays out three concepts from complex systems science that could advance studies into animal social complexity.
Today’s quantum computers sustain temperatures approaching absolute zero and are designed to solve problems that would require millions of years for even the world’s best supercomputers. However, the rate of hardware development is seemingly outpacing the growth of algorithms that can leverage the phenomena of quantum mechanics. A July 30 through Aug. 2 working group aims to address this shortage of algorithms.
Laboratory populations that quietly amass 'cryptic' genetic variants are capable of surprising evolutionary leaps, according to a paper in the July 26 issue of Science. A better understanding of cryptic variation may improve directed evolution techniques for developing new biomolecules for medical and other applications.
Most game theory models don’t reflect the relentlessly random timing of the real world. In a new paper, Justin Grana, James Bono, and SFI Professor David Wolpert model what happens when players receive information or act at random times, which could make a big difference in decision-making.
SFI Science Board member Derek Smith has worked in academia, industry, and public health. He is using insights from his work at SFI to develop an evolution-inspired flu vaccine.
SFI External Professor Raissa D’Souza (UC Davis) has joined the journal Physical Review Research as Lead Editor.
External Professor Stephanie Forrest and co-authors received the 2019 Ten-Year Most Influential Paper award from the International Conference on Software Engineering for their 2009 paper "Automatically Finding Patches Using Genetic Programming."
Instead of the typical bell-shaped curve, the fossil record shows a fat-tailed distribution, with extreme, outlier, events occurring with higher-than-expected probability. Using the same mathematical tools that describe stock market crashes, SFI researchers explain the evolutionary dynamics behind this universal pattern in the fossil record and uncover "a new normal."
In his new book Life Finds a Way: What Evolution Teaches Us About Creativity, SFI External Professor Andreas Wagner compares the tools of biological evolution with those of human innovation to make sense of the creative process that is happening in our minds all the time.
A special themed issue of the journal Entropy gathers together "new developments and original applications of generalized statistical mechanics to complex systems of various natures.”
Borne out of a transdisciplinary Santa Fe Institute working group, Law as Data, edited by Michael Livermore and Dan Rockmore, explores the new field of computational legal analysis — the study of the law that uses legal texts as data.
A May working group brings critics of urban scaling theory to engage in respectful dialogue with SFI scientists in the Social Reactors project.
A new analysis of academic productivity finds researchers' current working environments better predict their future success than the prestige of their doctoral training.