10 papers
From Discrete to Continuous Highest-earning Imitation Dynamics
Azadeh Aghaeeyan, Pouria Ramazi
Imitating the highest earners is a common decision-making heuristic, but in finite populations it can generate persistent fluctuations between strategies. This paper studies whethe…
Turning mechanistic models into forecasters by using machine learning
Amit K. Chakraborty, Hao Wang, Pouria Ramazi
The equations of complex dynamical systems may not be identified by expert knowledge, especially if the underlying mechanisms are unknown. Data-driven discovery methods address thi…
From Discrete to Continuous Mixed Populations of Conformists, Nonconformists, and Imitators
Azadeh Aghaeeyan, Pouria Ramazi
In two-strategy decision-making problems, individuals often imitate the highest earners or choose either the common or rare strategy. Individuals who benefit from the common strate…
From Discrete to Continuous Binary Best-Response Dynamics: Discrete Fluctuations Almost Surely Vanish with Population Size
Azadeh Aghaeeyan, Pouria Ramazi
In binary decision-making, individuals often choose either the rare or the common action. In the framework of evolutionary game theory, the best-response update rule can be used to…
Analyzing recreational fishing effort -- Gender differences and the impact of Covid-19
Julia S. Schmid, Sean Simmons, Mark S. Poesch +2
Recreational fishing is an important economic driver and provides multiple social benefits. To predict fishing activity, identifying variables related to variation, such as gender…
Deep Learning for Disease Outbreak Prediction: A Robust Early Warning Signal for Transcritical Bifurcations
Reza Miry, Amit K. Chakraborty, Russell Greiner +4
Early Warning Signals (EWSs) are vital for implementing preventive measures before a disease turns into a pandemic. While new diseases exhibit unique behaviors, they often share fu…