A research team at Duke University has developed a new AI framework that can uncover simple, understandable rules that govern ...
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Mapping dynamical systems: New algorithm infers hypergraph structure from time-series data without prior knowledge
In a network, pairs of individual elements, or nodes, connect to each other; those connections can represent a sprawling system with myriad individual links. A hypergraph goes deeper: It gives ...
A research team has developed a novel method for estimating the predictability of complex dynamical systems. Their work, "Time-lagged recurrence: A data-driven method to estimate the predictability of ...
Last Thursday, Meta announced the newest iteration of its large language model (LLM), Llama 3. The newest model will aim to dislodge OpenAI as the market leader through various improvements driven by ...
Juniper Lovato, Director of Outreach for Complex Systems, University of VermontLimits of individual consent and models of distributed consent in online social networksPersonal data is not discrete in ...
This paper proposes a novel exponential hyper–chaotic system with complex dynamic behaviors. It also analyzes the chaotic attractor, bifurcation diagram, equilibrium points, Poincare map, Kaplan–Yorke ...
System Dynamics is a computer-aided approach for strategy and policy design. The main goal is to help people make better decisions when confronted with complex, dynamic systems. The approach provides ...
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