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Using Decentralised Conflict-Abduction-Negation in Policy-making.

, , and . AMPM@JURIX, volume 3182 of CEUR Workshop Proceedings, CEUR-WS.org, (2021)

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A Decentralized Approach to Explanatory Artificial Intelligence for Autonomic Systems., , , , and . ACSOS Companion, page 115-120. IEEE, (2020)Improving Causal Learning Scalability and Performance using Aggregates and Interventions., , , and . ACM Trans. Auton. Adapt. Syst., 18 (3): 11:1-11:18 (September 2023)To do or not to do: finding causal relations in smart homes., , , and . ACSOS, page 110-119. IEEE, (2021)A generic and adaptive approach to explainable AI in autonomic systems: the case of the smart home. (Approche générique et adaptative de l'intelligence artificielle explicative pour les systèmes autonomiques connectés, appliquée à la maison intelligente).. Polytechnic Institute of Paris, Palaiseau, France, (2022)A generic and decentralized approach to XAI for autonomic systems: application to the smart home.. ACSOS-C, page 301-303. IEEE, (2021)A generic and modular reference architecture for self-explainable smart homes., , , and . ACSOS, page 101-110. IEEE, (2022)Using Decentralised Conflict-Abduction-Negation in Policy-making., , and . AMPM@JURIX, volume 3182 of CEUR Workshop Proceedings, CEUR-WS.org, (2021)What Should I Notice? Using Algorithmic Information Theory to Evaluate the Memorability of Events in Smart Homes., , , and . Entropy, 24 (3): 346 (2022)Multi-scale model-based explanations for cyber-physical systems: the urban traffic case., , , , and . MoDELS (Companion), page 684-691. ACM, (2022)A Decentralized Explanatory System for Intelligent Cyber-Physical Systems., , , , and . IntelliSys (1), volume 294 of Lecture Notes in Networks and Systems, page 719-738. Springer, (2021)