Hierarchical Expertise Level Modeling for User Specific Contrastive Explanations
暂无分享,去创建一个
Subbarao Kambhampati | Siddharth Srivastava | Sarath Sreedharan | S. Kambhampati | Siddharth Srivastava | S. Sreedharan
[1] G. G. Stokes. "J." , 1890, The New Yale Book of Quotations.
[2] Nils J. Nilsson,et al. A Formal Basis for the Heuristic Determination of Minimum Cost Paths , 1968, IEEE Trans. Syst. Sci. Cybern..
[3] Earl D. Sacerdoti,et al. Planning in a Hierarchy of Abstraction Spaces , 1974, IJCAI.
[4] Nils J. Nilsson,et al. Artificial Intelligence , 1974, IFIP Congress.
[5] Larry S. Davis,et al. Pattern Databases , 1979, Data Base Design Techniques II.
[6] Subbarao Kambhampati. A Classification of Plan Modification Strategies Based on Coverage and Information Requirements , 1990 .
[7] Edmund M. Clarke,et al. Counterexample-guided abstraction refinement , 2003, 10th International Symposium on Temporal Representation and Reasoning, 2003 and Fourth International Conference on Temporal Logic. Proceedings..
[8] T. Lombrozo. The structure and function of explanations , 2006, Trends in Cognitive Sciences.
[9] Stuart J. Russell,et al. Angelic Semantics for High-Level Actions , 2007, ICAPS.
[10] Jens Vygen,et al. The Book Review Column1 , 2020, SIGACT News.
[11] Jorge A. Baier,et al. Preferred Explanations: Theory and Generation via Planning , 2011, AAAI.
[12] P. Cochat,et al. Et al , 2008, Archives de pediatrie : organe officiel de la Societe francaise de pediatrie.
[13] K. Holyoak,et al. The Oxford handbook of thinking and reasoning , 2012 .
[14] Patrik Haslum,et al. Semi-Relaxed Plan Heuristics , 2012, ICAPS.
[15] Miao‐kun Sun. Trends in cognitive sciences , 2012 .
[16] T. Lombrozo. Explanation and Abductive Inference , 2012 .
[17] Patrik Haslum. Incremental Lower Bounds for Additive Cost Planning Problems , 2012, ICAPS.
[18] Susanne Biundo-Stephan,et al. Making Hybrid Plans More Clear to Human Users - A Formal Approach for Generating Sound Explanations , 2012, ICAPS.
[19] Jendrik Seipp,et al. Counterexample-Guided Cartesian Abstraction Refinement , 2013, ICAPS.
[20] Christer Bäckström,et al. Bridging the Gap Between Refinement and Heuristics in Abstraction , 2013, IJCAI.
[21] Pat Langley,et al. Seeing Beyond Shadows: Incremental Abductive Reasoning for Plan Understanding , 2013, AAAI Workshop: Plan, Activity, and Intent Recognition.
[22] Florian Nothdurft,et al. Plan, Repair, Execute, Explain - How Planning Helps to Assemble your Home Theater , 2014, ICAPS.
[23] Jendrik Seipp,et al. Diverse and Additive Cartesian Abstraction Heuristics , 2014, ICAPS.
[24] S. Edelkamp. Planning with Pattern Databases , 2014 .
[25] Stuart J. Russell,et al. Metaphysics of Planning Domain Descriptions , 2016, AAAI.
[26] Christian Borgelt,et al. Computational Intelligence , 2016, Texts in Computer Science.
[27] Jörg Hoffmann,et al. Towards Clause-Learning State Space Search: Learning to Recognize Dead-Ends , 2016, AAAI.
[28] Pat Langley,et al. Explainable Agency for Intelligent Autonomous Systems , 2017, AAAI.
[29] Maria Fox,et al. Explainable Planning , 2017, ArXiv.
[30] Yu Zhang,et al. Plan Explanations as Model Reconciliation: Moving Beyond Explanation as Soliloquy , 2017, IJCAI.
[31] Stuart Walker. Repair , 2018, Design Realities.
[32] Tim Miller,et al. Explanation in Artificial Intelligence: Insights from the Social Sciences , 2017, Artif. Intell..
[33] Tsuyoshi Murata,et al. {m , 1934, ACML.