2024-03-29T14:16:46Zhttps://gredos.usal.es/oai/requestoai:gredos.usal.es:10366/1349782022-02-07T15:36:05Zcom_10366_122575com_10366_4512com_10366_3823col_10366_134811
Mata Conde, Aitor
Tapia Martínez, Dante I.
González Arrieta, María Angélica
Pérez Lancho, María Belén
2009
This paper presents CROS, a contingency response multi-agent system for oil spills situations. The system makes use of a Case-Based Reasoning system which generates predictions to determine the probability of finding oil slicks in certain areas of the ocean. CBR uses past information to generate new solutions to the current problem. The system employs a distributed multi-agent architecture so that the main components of the system can be accessed remotely. Therefore, all functionalities can communicate in a distributed way, even from mobile devices. The core of the system is a group of deliberative agents acting as controllers and administrators for all functionalities. The system has been used to predict real oil spill situations. Results have demonstrated that the system can accurately predict the presence of oil slicks in determined zones. It has been demonstrated that using a distributed architecture can enhance the overall performance of the system.
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http://hdl.handle.net/10366/134978
en
Springer Science + Business Media
A Contingency Response Multi-agent System for Oil Spills
info:eu-repo/semantics/article
TEXT
Gredos. Repositorio Documental de la Universidad de Salamanca
Hispana