Perception as Abduction: Turning Sensor Data Into Meaningful Representation

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Towards Deep Symbolic Reinforcement Learning (2016, background): “A major obstacle here is the symbol grounding problem [18, 19].”
Programmatically Interpretable Reinforcement Learning (2018, background): “Many recent efforts in deep learning aim to make deep networks more interpretable (Montavon et al., 2017; Lipton, 2016; Garnelo et al., 2016; Zahavy et al., 2016; Shanahan, 2005; Lake et al., 2016).”
Formalizing Multimedia Interpretation based on Abduction over Description Logic Aboxes (2009, unknown): “Logic-based modeling is used to describe the behavior of procedural programs in [5], however.”
Robot task planning and explanation in open and uncertain worlds (2017, background): “Explanation for robots has also been tackled with use of event calculus [41,42] where it is posed as abduction of possible causes for perceptual events, within a background theory.”
Robot task planning and explanation in open and uncertain worlds (2015, background): “Explanation for robots has also been tackled with use of event calculus [41, 42] where it is posed as abduction of possible causes for perceptual events, within a background theory.”