Results 11 to 20 of about 64,893 (276)
Synthese, 2021 AbstractA traditional account of coincidences has it that two facts are coincidental whenever they are not related as cause and effect and do not have a common cause. A recent contribution by Lando (Noûs 51(1): 132–151, 2017) showed that this account is mistaken.
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Explaining norms and norms explained [PDF]
Behavioral and Brain Sciences, 2009 AbstractOaksford & Chater (O&C) aim to provide teleological explanations of behavior by giving an appropriate normative standard: Bayesian inference. We argue that there is no uncontroversial independent justification for the normativity of Bayesian inference, and that O&C fail to satisfy a necessary condition for teleological explanations:
Danks, David, Eberhardt, Frederick
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Should explainers explain? [PDF]
Journal of Science Communication, 2005 One of the most common, and probably one of the crucial questions about science centers and interactive exhibitions is often phrased as “Ok, it’s fun, but do they learn anything?”. What follows is not an attempt to answer this question; we will just use it as a starting point for a discussion about the role of explainers in science centers.
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Journal of Perinatal Education, 2005 Childbirth educator humorously discusses props used as tools for teaching and teasing.
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Proceedings of the National Academy of Sciences, 2003 What do social survey data tell us about the determinants of happiness? First, that the psychologists' setpoint model is questionable. Life events in the nonpecuniary domain, such as marriage, divorce, and serious disability, have a lasting effect on happiness, and do not simply deflect the average person temporarily above or below a setpoint given by ...
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Cognitive Science, 1994 Emotions and cognition are inextricably intertwined. Feelings influence thoughts and actions, which in turn can give rise to new emotional reactions. We claim that people infer emotional states in others using commonsense psychological theories of the interactions among emotions, cognition, and action.
O'Rorke, Paul, Ortony, Andrew
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Explaining Simulations Through Self Explaining Agents [PDF]
Journal of Artificial Societies and Social Simulation, 2010 Several strategies are used to explain emergent interaction patterns in agent-based simulations. A distinction can be made between simulations in which the agents just behave in a reactive way, and simulations involving agents with also pro-active (goal-directed) behavior.
Maaike Harbers +2 more
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What Is the Role of Explainability in Medical Artificial Intelligence? A Case-Based Approach
BioengineeringThis article reflects on explainability in the context of medical artificial intelligence (AI) applications, focusing on AI-based clinical decision support systems (CDSS).
Elisabeth Hildt
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Explainable Machine Learning in Human Gait Analysis: A Study on Children With Cerebral Palsy
IEEE Access, 2023 This work investigates the effectiveness of various machine learning (ML) methods in classifying human gait patterns associated with cerebral palsy (CP) and examines the clinical relevance of the learned features using explainability approaches.
Djordje Slijepcevic +5 more
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Unsupervised Learning of Depth and Ego-Motion from Video
, 2017 We present an unsupervised learning framework for the task of monocular depth and camera motion estimation from unstructured video sequences. We achieve this by simultaneously training depth and camera pose estimation networks using the task of view ...
Brown, Matthew +3 more
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