Engineering Systems Which Generate Emergent Functionalities
Engineering Environment-Mediated Multi-Agent Systems
Case-Based Collective Inference for Maritime Object Classification
ICCBR '09 Proceedings of the 8th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
ADELFE: a methodology for adaptive multi-agent systems engineering
ESAW'02 Proceedings of the 3rd international conference on Engineering societies in the agents world III
AgentC: agent-based testbed for adversarial modeling and reasoning in the maritime domain
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1 - Volume 1
Context-aware anomaly detection for electronic medical record systems
HealthSec'11 Proceedings of the 2nd USENIX conference on Health security and privacy
Self-organising Software: From Natural to Artificial Adaptation
Self-organising Software: From Natural to Artificial Adaptation
Abnormal crowd behavior detection using high-frequency and spatio-temporal features
Machine Vision and Applications
Mimicking human neuronal pathways in silico: an emergent model on the effective connectivity
Journal of Computational Neuroscience
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This paper presents a MAS dedicated to abnormal behaviors detection and alerts triggering in the maritime surveillance area. This MAS uses anomalies issued from an experienced Rule Engine implementing maritime regulation. It evaluates ships behavior cumulating the importance of related anomalies and triggers relevant alerts towards human operators involved in maritime surveillance. These human operators evaluate triggered alerts and confirm or invalidate them. Invalidated alerts are sent back to the MAS for a learning step since it self-adapts anomalies values to be consistent with human operators feedbacks. This MAS is implemented in the context of the project I2C, an EU funded project dedicated to abnormal ships behavior detection and early identification of threats such as oil slick, illegal fishing, or lucrative criminal activities (e.g. goods, drugs, or weapons smuggling).