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Modélisation multi-agent des opérations semi-autonomes dans un système cyber-physique de forage pétrolier ou gazier.

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Négociation > adaptative pour l'acceptabilité des services d'un fournisseur SaaS., , and . JFSMA, page 85-94. Cépaduès Éditions, (2017)Technology-facilitated Societal Consensus., and . UMAP (Adjunct Publication), page 3-7. ACM, (2019)Explainable Agents and Robots: Results from a Systematic Literature Review., , , and . AAMAS, page 1078-1088. International Foundation for Autonomous Agents and Multiagent Systems, (2019)Modélisation multi-agent des opérations semi-autonomes dans un système cyber-physique de forage pétrolier ou gazier., , , , , and . JFSMA, page 139-148. Cépaduès, (2019)In-Time Explainability in Multi-Agent Systems: Challenges, Opportunities, and Roadmap., , , , and . EXTRAAMAS@AAMAS, volume 12175 of Lecture Notes in Computer Science, page 39-53. Springer, (2020)Reinforcement Learning for Sustainable Mobility: Modeling Pedalcoin, a Gamified Biking Application., , , and . HAI, page 461-463. ACM, (2023)A Vulnerability-oriented Impact Assessment for the Development of Human-Centred and Fundamental Rights-Empowering Social Robots., and . HAI, page 404-406. ACM, (2023)Metrics for Evaluating Explainable Recommender Systems., , , and . EXTRAAMAS, volume 14127 of Lecture Notes in Computer Science, page 212-230. Springer, (2023)Expectation: Personalized Explainable Artificial Intelligence for Decentralized Agents with Heterogeneous Knowledge., , , , , , and . EXTRAAMAS@AAMAS, volume 12688 of Lecture Notes in Computer Science, page 331-343. Springer, (2021)Towards Explainable Recommendations of Resource Allocation Mechanisms in On-Demand Transport Fleets., , , , , and . EXTRAAMAS@AAMAS, volume 12688 of Lecture Notes in Computer Science, page 97-115. Springer, (2021)