5 papers
AI Agents as Policymakers in Simulated Epidemics
Goshi Aoki, Navid Ghaffarzadegan
AI agents are increasingly deployed as quasi-autonomous systems for specialized tasks, yet their potential as computational models of decision-making remains underexplored. We deve…
The behavioral spillover effect: Modeling behavioral interdependencies in multi-pathogen dynamics
Leah LeJeune, Omar Saucedo, Lauren M. Childs +1
During the recent pandemic, a rise in COVID-19 cases was followed by a decline in influenza. In the absence of cross-immunity, a potential explanation for the observed pattern is b…
Formulating human risk response in epidemic models: exogenous vs endogenous approaches
Leah LeJeune, Navid Ghaffarzadegan, Lauren Childs +1
The recent pandemic emphasized the need to consider the role of human behavior in shaping epidemic dynamics. In particular, it is necessary to extend beyond the classical epidemiol…
From Text to Map: A System Dynamics Bot for Constructing Causal Loop Diagrams
Niyousha Hosseinichimeh, Aritra Majumdar, Ross Williams +1
We introduce and test the System Dynamics Bot, a computer program leveraging a large language model to automate the creation of causal loop diagrams from textual data. To evaluate…
Generative Agent-Based Modeling: Unveiling Social System Dynamics through Coupling Mechanistic Models with Generative Artificial Intelligence
Navid Ghaffarzadegan, Aritra Majumdar, Ross Williams +1
We discuss the emerging new opportunity for building feedback-rich computational models of social systems using generative artificial intelligence. Referred to as Generative Agent-…