REVIEW 5 cited by
Epidemic Modeling with Generative Agents
Not yet reviewed by Pith; the record is open.
This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.
SPECIMEN: schema-true, not a live event
T0 review · schema-true
One-sentence machine reading of the paper's core claim.
pith:XXXXXXXX · record.json · timestamp
read the original abstract
This study offers a new paradigm of individual-level modeling to address the grand challenge of incorporating human behavior in epidemic models. Using generative artificial intelligence in an agent-based epidemic model, each agent is empowered to make its own reasonings and decisions via connecting to a large language model such as ChatGPT. Through various simulation experiments, we present compelling evidence that generative agents mimic real-world behaviors such as quarantining when sick and self-isolation when cases rise. Collectively, the agents demonstrate patterns akin to multiple waves observed in recent pandemics followed by an endemic period. Moreover, the agents successfully flatten the epidemic curve. This study creates potential to improve dynamic system modeling by offering a way to represent human brain, reasoning, and decision making.
Forward citations
Cited by 5 Pith papers
-
How Affect Propagates among LLM Agents: Emergent Emotional Contagion in Crowd Simulation
Affect spreads among LLM crowd agents as spatial fronts, endemic plateaus, and personality-gated panic or anger solely via a perception–appraisal–expression loop, and the dynamics are backend-dependent.
-
LLM-powered reasoning in agent-based modeling
HALE couples LLM group-level mobility decisions with large-scale activity-based ABM networks and better matches Salt Lake County COVID-19 peak timing and size than ABM-only runs.
-
Negotiating Comfort: Simulating Personality-Driven LLM Agents in Shared Residential Social Networks
LLM-based generative agents simulate personality-driven temperature negotiations in a shared residential building, with positive personality traits associated with higher happiness and stronger friendships.
-
Infected Smallville: How Disease Threat Shapes Sociality in LLM Agents
In three simulation runs, LLM agents primed with a swine flu article reduced social activity compared with controls, but the effect is confounded by prompt instructions and no inferential statistics are reported.
-
Large Language Model Powered Intelligent Urban Agents: Concepts, Capabilities, and Applications
The paper defines urban LLM agents, surveys their sensing, memory, reasoning, execution, and learning workflows, and organizes their applications across planning, transportation, environment, safety, and society.
Discussion (0). Sign in to comment.