On the possibilities and limitations of LLM-based multi-agent systems for multi-criteria decision-making in healthcare operations management
[Optymalizacja] Autorzy: Marco Boresta, Tommaso Giovannelli, Sepehr Namirad i 1 więcej
Multi-criteria models for healthcare operations need weights that express how stakeholders trade off patient waiting time, provider workload, and operating cost, but these weights are difficult to quantify. Teams of large language model (LLM) agents, each prompted to represent a stakeholder, have been used to supply them. We propose a framework for assessing the reliability of LLM-generated preferences as inputs to multi-objective optimization and quantifying how their uncertainty affects decisions. We study explicit preferences by asking agents to rate the importance of the criteria in an outpatient appointment scheduling problem, and implicit preferences by inferring trade-offs from the agents' pairwise choices between emergency department configurations. The computational experiments show that the explicit preferences respond to the clinic's operating conditions and differ across rol…
- Kategoria arxiv
- math.OC
- Kategoria
- Optymalizacja