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Explainable Agents and Robots: Results from a Systematic Literature Review

, , , and . Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, page 1078–1088. Richland, SC, International Foundation for Autonomous Agents and Multiagent Systems, (2019)

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Explainable Agents and Robots: Results from a Systematic Literature Review, , , and . Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, page 1078–1088. Richland, SC, International Foundation for Autonomous Agents and Multiagent Systems, (2019)Towards Explainable and Trustworthy Autonomous Physical Systems., , , , , and . CHI Extended Abstracts, page 88:1-88:3. ACM, (2021)Explanations of Black-Box Model Predictions by Contextual Importance and Utility., , and . CoRR, (2020)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)Visual Explanations for DNNs with Contextual Importance., , and . EXTRAAMAS@AAMAS, volume 12688 of Lecture Notes in Computer Science, page 83-96. Springer, (2021)Explainable Agents and Robots: Results from a Systematic Literature Review., , , and . AAMAS, page 1078-1088. International Foundation for Autonomous Agents and Multiagent Systems, (2019)Context-based image explanations for deep neural networks., , and . Image Vis. Comput., (2021)From Spoken Thoughts to Automated Driving Commentary: Predicting and Explaining Intelligent Vehicles' Actions., , , , and . IV, page 1040-1047. IEEE, (2022)Enhancement of template-based method for overlapping rubber tree leaf identification., and . Comput. Electron. Agric., (2016)