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Aïda Valls ; Jaime Bocio ;Inteligencia Artificial. Revista Iberoamericana de Inteligencia Artificial 2001, 5 (13)

Autor: Antonio Moreno

Fuente: http://www.redalyc.org/


Introducción



Inteligencia Artificial.
Revista Iberoamericana de Inteligencia Artificial ISSN: 1137-3601 revista@aepia.org Asociación Española para la Inteligencia Artificial España Moreno, Antonio; Valls, Aïda; Bocio, Jaime A Multi-Agent System to Schedule Organ Transplant Operations Inteligencia Artificial.
Revista Iberoamericana de Inteligencia Artificial, vol.
5, núm.
13, 2001, pp.
36-44 Asociación Española para la Inteligencia Artificial Valencia, España Available in: http:--www.redalyc.org-articulo.oa?id=92521305 How to cite Complete issue More information about this article Journals homepage in redalyc.org Scientific Information System Network of Scientific Journals from Latin America, the Caribbean, Spain and Portugal Non-profit academic project, developed under the open access initiative A Multi-Agent System to Schedule Organ Transplant Operations Antonio Moreno, Aïda Valls, Jaime Bocio Computer Science and Mathematics Department University Rovira i Virgili Carretera de Salou, s-n Tarragona, 43006 {amoreno,avalls}@etse.urv.es Abstract Transplants involve many steps and many people to ensure a good result.
We will focus on the management of the team that is going to make the surgical operation to implant an organ to a patient.
When a suitable recipient is found, the hospital that is going to perform the transplant must organise all the necessary items to do it: find the medical team and an available operation theatre.
This task must be done in the very short period of time while the organ is in good conditions.
The quick scheduling of the operation is essential to detect whether it is possible to join all the necessary items or not.
In the second case, the general transplant co-ordinator must be immediately informed in order to find another patient in another hospital.
We propose to use a multi-agent system to solve this scheduling task in a short period of time. Key words: Multi-Agent Systems, Transplants, Scheduling, Time constraints. 1.
Introduction C...





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