Publicação
Consensus among autonomous multi agent systems in public health: a simulation study on decision making under data uncertainty
| authorProfile.email | niko.hems@gmail.com | |
| datacite.subject.fos | Ciências Sociais::Economia e Gestão | |
| dc.contributor.advisor | Zejnilovic, Leid | |
| dc.contributor.author | Hems, Niko | |
| dc.date.accessioned | 2026-02-20T15:27:01Z | |
| dc.date.available | 2026-02-20T15:27:01Z | |
| dc.date.issued | 2025-06-25 | |
| dc.date.submitted | 2025-05-21 | |
| dc.description.abstract | This study tested whether autonomous AI agents can agree on public health actions using incomplete or noisy outbreak data. A multi-agent system based on large language models (via Lang Chain) enabled structured, role-based discussions. Simulations showed that while consensus is possible, it’s rare. Agreement was mainly driven by the depth of reasoning—shorter data-grounded arguments led to better outcomes. Surprisingly, missing or noisy data had limited effect on consensus. However, complete data slightly improved results, especially when manipulated. Overall, AI agents can support complex health decisions, but their effectiveness hinges on their ability to reason clearly with available information. | eng |
| dc.identifier.tid | 204129370 | |
| dc.identifier.uri | http://hdl.handle.net/10362/200539 | |
| dc.language.iso | eng | |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
| dc.subject | Public health | |
| dc.subject | Decision making | |
| dc.subject | AI agents | |
| dc.subject | Epidemiological simulation | |
| dc.subject | COVID-19 outbreak data | |
| dc.subject | Health policy modeling | |
| dc.title | Consensus among autonomous multi agent systems in public health: a simulation study on decision making under data uncertainty | eng |
| dc.type | master thesis | |
| dspace.entity.type | Publication | |
| thesis.degree.name | A Work Project, presented as part of the requirements for the Award of a Master’s degree in Management from the Nova School of Business and Economics |