6 citations · 21 across the 26 of their papers we have counts for
26 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…
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…
Identifiability analysis of vaccination decision-making dynamics
Azadeh Aghaeeyan, Mark A. Lewis, Pouria Ramazi
Variations in individuals' perceptions of vaccination and decision-making processes can give rise to poor vaccination coverage. The future vaccination promotion programs will benef…
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…
An early warning indicator trained on stochastic disease-spreading models with different noises
Amit K. Chakraborty, Shan Gao, Reza Miry +4
The timely detection of disease outbreaks through reliable early warning signals (EWSs) is indispensable for effective public health mitigation strategies. Nevertheless, the intric…
Extending Identifiability Results from Continuous to Discrete-Space Systems
Anuththara Sarathchandra, Azadeh Aghaeeyan, Pouria Ramazi
Researchers develop models to explain the unknowns. These models typically involve parameters that capture tangible quantities, the estimation of which is desired. Parameter identi…
Can machine learning predict citizen-reported angler behavior?
Julia S. Schmid, Sean Simmons, Mark A. Lewis +2
Prediction of angler behaviors, such as catch rates and angler pressure, is essential to maintaining fish populations and ensuring angler satisfaction. Angler behavior can partly b…
Environmental-Impact Based Multi-Agent Reinforcement Learning
Farinaz Alamiyan-Harandi, Pouria Ramazi
To promote cooperation and strengthen the individual impact on the collective outcome in social dilemmas, we propose the Environmental-impact Multi-Agent Reinforcement Learning (EM…
Kindness in Multi-Agent Reinforcement Learning
Farinaz Alamiyan-Harandi, Mersad Hassanjani, Pouria Ramazi
In human societies, people often incorporate fairness in their decisions and treat reciprocally by being kind to those who act kindly. They evaluate the kindness of others' actions…
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…
Equilibration of Coordinating Imitation and Best-Response Dynamics
Nazanin Hasheminejad, Pouria Ramazi
Decision-making individuals are often considered to be either imitators who copy the action of their most successful neighbors or best-responders who maximize their benefit against…
Detecting individual-level infections using sparse group-testing through graph-coupled hidden Markov models
Zahra Gholamalian, Zeinab Maleki, MasoudReza Hashemi +1
Identifying the infection status of each individual during infectious diseases informs public health management. However, performing frequent individual-level tests may not be feas…
Revealing the unseen: Likely half of the Americans relied on others' experience when deciding on taking the COVID-19 vaccine
Azadeh Aghaeeyan, Pouria Ramazi, Mark A. Lewis
Efficient coverage for newly developed vaccines requires knowing which groups of individuals will accept the vaccine immediately and which will take longer to accept or never accep…
Inequity aversion reduces travel time in the traffic light control problem
Mersad Hassanjani, Farinaz Alamiyan-Harandi, Pouria Ramazi
The traffic light control problem is to improve the traffic flow by coordinating between the traffic lights. Recently, a successful deep reinforcement learning model, CoLight, was…
Modeling and Forecasting COVID-19 Cases using Latent Subpopulations
Roberto Vega, Zehra Shah, Pouria Ramazi +1
Classical epidemiological models assume homogeneous populations. There have been important extensions to model heterogeneous populations, when the identity of the sub-populations i…
Heterogeneous Mixed Populations of Coordinating, Anticoordinating, and Imitating Individuals
Hien Le, Mohaddeseh Rajaee, Pouria Ramazi
Decision-making individuals are typically either an imitator, who mimics the action of the most successful individual(s), a conformist (or coordinating individual), who chooses an…
Characterizing Oscillations in Heterogeneous Populations of Coordinators and Anticoordinators
Pouria Ramazi, Mohammad Hossein Roohi
Oscillations often take place in populations of decision makers that are either a coordinator, who takes action only if enough others do so, or an anticoordinator, who takes action…
From policy to prediction: Forecasting COVID-19 dynamics under imperfect vaccination
Xiunan Wang, Hao Wang, Pouria Ramazi +2
Understanding the joint impact of vaccination and non-pharmaceutical interventions on COVID-19 development is important for making public health decisions that control the pandemic…
Equilibration Analysis and Control of Coordinating Decision-Making Populations
Negar Sakhaei, Zeinab Maleki, Pouria Ramazi
Whether a population of decision-making individuals will reach a state of satisfactory decisions is a fundamental problem in studying collective behaviors. In the framework of evol…
A hypothesis-free bridging of disease dynamics and non-pharmaceutical policies
Xiunan Wang, Hao Wang, Pouria Ramazi +2
Accurate prediction of the number of daily or weekly confirmed cases of COVID-19 is critical to the control of the pandemic. Existing mechanistic models nicely capture the disease…
Boosting propagule transport models with individual-specific data from mobile apps
Samuel M. Fischer, Pouria Ramazi, Sean Simmons +2
Management of invasive species and pathogens requires information about the traffic of potential vectors. Such information is often taken from vector traffic models fitted to surve…
Evolutionary Matrix-Game Dynamics Under Imitation in Heterogeneous Populations
Yiheng Fu, Pouria Ramazi
Decision-making individuals often imitate their highest-earning fellows rather than optimize their own utilities, due to bounded rationality and incomplete information. Perpetual f…