Artificial Intelligence: A Guide for Thinking Humans is a solid history of how we got from pocket calculators to facial recognition and self-driving cars, a lucid tour of how these systems operate, and a measured warning against placing more trust in these systems than they deserve.
The Neolithic Agricultural Revolution is one of the most thoroughly-studied episodes in prehistory. But a new paper by Sam Bowles and Jung-Kyoo Choi shows that most explanations for it don’t agree with the evidence, and offers a new interpretation.
Jessica Flack presents an SFI Community Lecture on collective computation at The Lensic Performing Arts Center on October 22.
External Professor Raissa D’Souza has won the Network Science Society’s inaugural Euler award for her influential work in "the discovery and study of explosive percolation in networks and the insights it provided to explosive synchronization and network optimization.”
SFI External Professor W. Brian Arthur has been selected as a 2019 Citation Laureate by the Web of Science group “for research revealing network effects in economic systems that produce increasing returns."
Seven thousand years ago, societies across Eurasia began to show signs of lasting divisions between haves and have-nots. In new research published in the journal Antiquity, scientists chart the precipitous surge of prehistoric inequality and trace its economic origins back to the adoption of ox-drawn plows.
Why it is that only some crimes supercharge from city size is explained in a new paper published this week in Physical Review E. According to Complexity Postdoctoral Fellow Vicky Chuqiao Yang and her coauthors, the same underlying mechanism that boosts urban innovation and startup businesses can also explain why certain types of crimes thrive in a larger population.
Infectious disease outbreaks often emerge when and where we are least equipped to detect and control them. In a series of two lectures, SFI External Professor Lauren Ancel Meyers discusses how network-based mathematical models data accelerate the detection and containment of outbreaks.
Reckless Ideas will feature high on the agenda of the sixth Postdocs in Complexity Conference, the latest in a twice-yearly series held at SFI and generously funded by the James S. McDonnell Foundation (JSMF). The conference, to take place Aug. 27-30, brings together early-career complexity postdoctoral fellows in a wide range of disciplines from institutions around the world.
For over a century, anthropologists have attempted to describe human societies as “matrilineal” or “patrilineal” — emphasizing relatedness among women or men, respectively. A new paper by Laura Fortunato, an anthropologist at the University of Oxford and External Professor at the Santa Fe Institute, argues that it is time to confront the ambiguity at the heart of these terms.
SFI's free online course, Introduction to Dynamical Systems and Chaos with College of the Atlantic professor David Feldman, begins Oct. 1. Topics to be covered include: phase space, bifurcations, chaos, the butterfly effect, strange attractors, and pattern formation.
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.