Name
Abstract | ||
|---|---|---|
Generally, Prioritizing is not a simple task. Given a waiting list for organ transplantation with dozens of patients, which patient must be prioritized at the time of an organ donation? Which patient has been waiting for longer time or which patient has the worst health? What policy would be fairer and more efficient? The search for an answer to this question can become a complex decision-making problem. The process for testing various policies and verifying whether each one of them can bring benefits or not, can be slow and consume valuable resources. Computer simulations can help by allowing, at a lower cost and with greater security and flexibility, reproduction and study of events whose real occurrence would not be desirable or even possible. These efforts result in the creation of tools for modeling and simulation. In this work, a model based on multi agent systems was developed and implemented by using the Repast framework. The model was calibrated by using information taken from a real situation. Experiments were carried out illustrating situations in which the simulation model could be used. The results demonstrated the ability of the model to capture details of reality and to simulate defined situations. |
Year | Venue | Keywords |
|---|---|---|
2011 | ICAART 2011: PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON AGENTS AND ARTIFICIAL INTELLIGENCE, VOL 2 | Multi-agent systems,Agent based simulation,Simulation,Liver transplant waiting list,Queue discipline |
Field | DocType | Citations |
Donation,Transplant Waiting List,Agent-based model,Modeling and simulation,Computer science,Operations research,Multi-agent system,Artificial intelligence,Machine learning | Conference | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alexander Flávio de Oliveira | 1 | 0 | 0.34 |
| R. P. M. Ferreira | 2 | 29 | 4.01 |
| Agnaldo Soares de Lima | 3 | 0 | 0.34 |