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Explanations of Black-Box Model Predictions by Contextual Importance and Utility., , and . EXTRAAMAS@AAMAS, volume 11763 of Lecture Notes in Computer Science, page 95-109. Springer, (2019)Simulating, Off-Chain and On-Chain: Agent-Based Simulations in Cross-Organizational Business Processes., and . Information, 11 (1): 34 (2020)Explanations of Black-Box Model Predictions by Contextual Importance and Utility., , and . CoRR, (2020)Great Expectations & Aborted Business Initiatives: The Paradox of Social Robot Between Research and Industry., , , and . BNAIC/BENELEARN, volume 2491 of CEUR Workshop Proceedings, CEUR-WS.org, (2019)Model transformations from the SARL agent-oriented programming language to an object-oriented programming language., , , , , , and . IJAOSE, 7 (1): 37-75 (2019)Technology-facilitated Societal Consensus., and . UMAP (Adjunct Publication), page 3-7. ACM, (2019)Explainable Multi-Agent Systems Through Blockchain Technology., , , , and . EXTRAAMAS@AAMAS, volume 11763 of Lecture Notes in Computer Science, page 41-58. Springer, (2019)Négociation > adaptative pour l'acceptabilité des services d'un fournisseur SaaS., , and . JFSMA, page 85-94. Cépaduès Éditions, (2017)Explainable Agents and Robots: Results from a Systematic Literature Review., , , and . AAMAS, page 1078-1088. International Foundation for Autonomous Agents and Multiagent Systems, (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)