Talk 3 + discussion: The fitness value of information as a unifying framework Ryan McGee, Joey Bernhart, Mary Oconnor, Cynthia Downs ...

Stephanie ForrestDirector of Biodesign Center for Biocomputing, Security and Society at ASU, SFI External Professor ...

This brief essay reviews an approach to defining and then detecting the emergence of complexity in nonlinear processes. It is, in fact, a synopsis of Reference [1] that leaves out the technical ...

Proceedings of the National Academy of Sciences of the United States of America ...

Predicting how ecological communities will respond to disturbances is notoriously challenging, especially given the variability in species' responses within the same community. Focusing solely on ...

Abstract: Deterministic Turing machines and their associated complexity measures, by construction, cannot capture the complexity of the output of stochastic processes - like those in the real world.

The authors' proposal for the evolutionary origins of historical myths does not hold up to scrutiny, as illustrated by a simple mathematical model. Group-level explanations, such as defining the ...

Using a variety of analogy puzzles, SFI researchers have shown that the reasoning abilities of OpenAI’s GPT-4 model fall ...

Elections are a well-documented example of collective human decision-making, with voting data available for elections globally over several decades. SFI Complexity Postdoctoral Fellow Aanjaneya Kumar, ...

Brave thinkers willing to explore new ideas about economics, policy, and governance. Early-career scholars and change-makers from civil society and private industry are equally encouraged to apply.

Using a variety of analogy puzzles, SFI researchers have shown that the reasoning abilities of OpenAI’s GPT-4 model fall short when faced with small changes. Recognizing the limitations of these tools ...