The area of information processing and computing is highly fractionalized. It covers sub-fields in machine learning, neuroscience, physics, mathematics, computer science, engineering, biology, social ...

In fields ranging from immunology and ecology to economics and thermodynamics, multi-scale complex systems are ubiquitous. They are also notoriously difficult to model. Conventional approaches take ...

Scientists point out that a coherent approach to understanding the threats posed by artificial intelligence is still elusive. They call for a complex systems perspective to better assess and mitigate ...

Complex systems such as metabolic pathways, ecosystems, the Internet, or human societies are comprised of large numbers of components that interact according to rules that change over time and that ...

From the complicated web of scientific knowledge to interactions among entire species, complex and interconnected systems are all around us. Understanding cause and effect in such intricate systems ...

A system-engineering approach is essential for an efficient design in a complex system. Comprehension of conflicting requirements of participating subsystems and integrated designs are key elements ...

It is an underappreciated irony that talking about complex systems is difficult. “There is no clear definition of complex systems,” says Kunihiko Kaneko, a physicist at the University of Tokyo. “But ...