CROS: A Contingency Response multi-agent system for Oil Spills situations

This paper presents CROS, a Contingency Response multi-agent system for Oil Spill situations. The system uses the Case-Based Reasoning methodology to generate 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 SOA-basedmulti-agent architecture so that themain components of the systemcanbe remotely accessed. Therefore, all functionalities (applications and services) can communicate in a distributed way, even frommobile devices. The core of the system is a group of delib-