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Considering Multi-Scale Data for Continuous Traffic Prediction Using Adaptive Multi-Agent System.

, , , , and . ITSC, page 1835-1842. IEEE, (2023)

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A Self-adaptive Module for Cross-understanding in Heterogeneous MultiAgent Systems., , , , and . ICAART (1), page 353-360. SCITEPRESS, (2021)Multi-satellite Mission Planning Using a Self-Adaptive Multi-agent System., , , , and . SASO, page 11-20. IEEE Computer Society, (2015)Continuous learning and cooperative prediction for traffic dynamics by Adaptive Multi-Agent Systems., , , , and . ACSOS, page 17-26. IEEE, (2023)Analyse des critères d'évaluation de systèmes multi-agents adaptatifs., , , , and . JFSMA, page 123-132. Cepadues Editions, (2009)ReCoVac : Décision autonome de reprise de la conduite d'un véhicule autonome et connecté., , , , , and . JFSMA, Cépaduès, (2020)Life-long Learning System of Driving Behaviors from Vehicle Data Streams., , , , and . ITSC, page 1132-1139. IEEE, (2021)Integrating Shared Information into the Sensorial Mapping of Connected and Autonomous Vehicles., , , , , , and . ICAART (1), page 454-461. SCITEPRESS, (2021)P-ADRIP : un système multi-agent auto-organisateur pour la prévision du trafic routier., , , , and . JFSMA, page 75-84. Cépaduès, (2022)ATLAS : planification multi-satellite dynamique en temps réel., , , and . Rev. d'Intelligence Artif., 30 (1-2): 35-59 (2016)Approches multi-agents auto-organisatrices pour un contrôle manufacturier intelligent et adaptatif (présentation courte)., , , and . JFSMA, page 191-200. Cepadues Editions, (2008)