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Generative AI agents show sensitivity to prompt variations in epidemic simulations

A new study published on arXiv investigates how sensitive generative AI agents are to prompt variations when simulating human behavior, specifically in the context of an epidemic model. Researchers found that while synonymous prompts had little effect on the simulated epidemic's outcomes, minor prompt changes and contextual shifts did influence the results. The study also indicated that the persona names assigned to these agents did not significantly alter the epidemic's progression. AI

IMPACT This research highlights the importance of precise prompting for reliable AI agent simulations in research settings.

RANK_REASON The cluster contains a research paper published on arXiv detailing findings about generative AI agents.

Read on arXiv cs.MA (Multiagent) →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

Generative AI agents show sensitivity to prompt variations in epidemic simulations

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The cluster contains a research paper published on arXiv detailing findings about generative AI agents.
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COVERAGE [2]

  1. arXiv cs.AI TIER_1 English(EN) · Ross Williams, Niyousha Hosseinichimeh ·

    Prompt Sensitivity of Generative Agents: Evidence from an Epidemic Model

    arXiv:2608.26221v1 Announce Type: cross Abstract: As generative AI gains traction, researchers are investigating its potential to serve as proxies for humans. From undergoing cognitive psychology experiments to experiencing an epidemic, generative agents, agents powered by genera…

  2. arXiv cs.MA (Multiagent) TIER_1 English(EN) · Niyousha Hosseinichimeh ·

    Prompt Sensitivity of Generative Agents: Evidence from an Epidemic Model

    As generative AI gains traction, researchers are investigating its potential to serve as proxies for humans. From undergoing cognitive psychology experiments to experiencing an epidemic, generative agents, agents powered by generative AI models, produce realistic human behavior w…