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 ...

Complex systems science examines how interactions among numerous components give rise to collective patterns, behaviours and functions that cannot be predicted by studying elements in isolation.

Traditional approaches in complexity science struggle to capture emergent phenomena, but abductive reasoning — now computationally feasible through artificial intelligence — offers a new pathway for ...

Modeling complex systems When studying complex biological systems such as the immune system, scientists can extract many different types of data. Sequencing cell genomes tells them which gene variants ...

A research team at Duke University has developed a new AI framework that can uncover simple, understandable rules that govern some of the most complex dynamics found in nature and technology. The AI ...

Systems-level thinking has transformed how we study life across scales, from molecules and cells to populations, communities ...

A new AI developed at Duke University can uncover simple, readable rules behind extremely complex systems. It studies how systems evolve over time and reduces thousands of variables into compact ...

Complexity is all around us, from the daily fluctuations of financial markets to the intricate web of neurons in our brains. Understanding how the different components of these systems interact with ...