Model-based contrastive explanations for explainable planning
暂无分享,去创建一个
Tim Miller | Daniele Magazzeni | Michael Cashmore | Benjamin Krarup | Tim Miller | D. Magazzeni | Michael Cashmore | Benjamin Krarup
[1] Frank E. Ritter,et al. Designs for explaining intelligent agents , 2009, Int. J. Hum. Comput. Stud..
[2] Carlos Guestrin,et al. "Why Should I Trust You?": Explaining the Predictions of Any Classifier , 2016, ArXiv.
[3] Maria Fox,et al. PDDL2.1: An Extension to PDDL for Expressing Temporal Planning Domains , 2003, J. Artif. Intell. Res..
[4] Tim Miller,et al. Explanation in Artificial Intelligence: Insights from the Social Sciences , 2017, Artif. Intell..
[5] Daniele Magazzeni,et al. Towards Providing Explanations for AI Planner Decisions , 2018, IJCAI 2018.
[6] William J. Clancey,et al. Explanation in Human-AI Systems: A Literature Meta-Review, Synopsis of Key Ideas and Publications, and Bibliography for Explainable AI , 2019, ArXiv.
[7] Yu Zhang,et al. Plan explicability and predictability for robot task planning , 2015, 2017 IEEE International Conference on Robotics and Automation (ICRA).
[8] Tim Miller,et al. Contrastive explanation: a structural-model approach , 2018, The Knowledge Engineering Review.
[9] Susanne Biundo-Stephan,et al. Making Hybrid Plans More Clear to Human Users - A Formal Approach for Generating Sound Explanations , 2012, ICAPS.
[10] Anind K. Dey,et al. Why and why not explanations improve the intelligibility of context-aware intelligent systems , 2009, CHI.
[11] Zachary Chase Lipton. The mythos of model interpretability , 2016, ACM Queue.
[12] Maria Fox,et al. Explainable Planning , 2017, ArXiv.
[13] Yu Zhang,et al. Plan Explanations as Model Reconciliation: Moving Beyond Explanation as Soliloquy , 2017, IJCAI.
[14] David E. Smith. Planning as an Iterative Process , 2012, AAAI.
[15] Subbarao Kambhampati,et al. Explicability? Legibility? Predictability? Transparency? Privacy? Security? The Emerging Landscape of Interpretable Agent Behavior , 2018, ICAPS.