Results 11 to 20 of about 1,054,636 (275)
Events, Event Prediction, and Predictive Processing [PDF]
Topics in Cognitive Science, 2020 AbstractEvents and event prediction are pivotal concepts across much of cognitive science, as demonstrated by the papers in this special issue. We first discuss how the study of events and the predictive processing framework may fruitfully inform each other. We then briefly point to some links to broader philosophical questions about events.
Hohwy, J, Hebblewhite, A, Drummond, T
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Delusional Unreality and Predictive Processing. [PDF]
Biol Psychiatry Cogn Neurosci NeuroimagingIn their recent correspondence Feyearts and colleagues highlighted some similarities and differences between their phenomenological approach to delusions and the predictive processing explanation. In the present work we home in on some key points in the exchange and present data that show predictive processing can indeed explain the pervasive sense of ...
Castiello S +8 more
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Explainable Predictive Process Monitoring [PDF]
2020 2nd International Conference on Process Mining (ICPM), 2020 Predictive Business Process Monitoring is becoming an essential aid for organizations, providing online operational support of their processes. This paper tackles the fundamental problem of equipping predictive business process monitoring with explanation capabilities, so that not only the what but also the why is reported when predicting generic KPIs ...
Galanti, Riccardo +4 more
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Brain Oscillations and Predictive Processing [PDF]
Frontiers in Psychology, 2012 The hierarchical generative model presented in the target article is based on theoretical and computational grounds. However, providing neurophysiologic evidence for the presence of distinct neural mechanisms mediating top-down predictions and bottom-up transmission of prediction error is critical for model validity.
Yordanova, Juliana +2 more
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Predicting green: really radical (plant) predictive processing [PDF]
Journal of The Royal Society Interface, 2017 In this article we account for the way plants respond to salient features of their environment under the free-energy principle for biological systems. Biological self-organization amounts to the minimization of surprise over time. We posit that any self-organizing system must embody a generative model whose predictions ensure that (expected) free ...
Paco Calvo, Karl Friston
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Radical Predictive Processing [PDF]
The Southern Journal of Philosophy, 2015 AbstractRecent work in computational and cognitive neuroscience depicts the brain as an ever‐active prediction machine: an inner engine continuously striving to anticipate the incoming sensory barrage. I briefly introduce this class of models before contrasting two ways of understanding the implied vision of mind.
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Folk Psychology and the Bayesian Brain [PDF]
, 2017 Whilst much has been said about the implications of predictive processing for our scientific understanding of cognition, there has been comparatively little discussion of how this new paradigm fits with our everyday understanding of the mind, i.e.
Dewhurst, Joe
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A Bayesian Account of Generalist and Specialist Formation Under the Active Inference Framework
Frontiers in Artificial Intelligence, 2020 This paper offers a formal account of policy learning, or habitual behavioral optimization, under the framework of Active Inference. In this setting, habit formation becomes an autodidactic, experience-dependent process, based upon what the agent sees ...
Anthony G. Chen +4 more
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The cybernetic Bayesian brain: from interoceptive inference to sensorimotor contingencies [PDF]
, 2015 Is there a single principle by which neural operations can account for perception, cognition, action, and even consciousness? A strong candidate is now taking shape in the form of “predictive processing”.
Seth, Anil K
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Vanilla PP for Philosophers: A Primer on Predictive Processing [PDF]
, 2017 The goal of this short chapter, aimed at philosophers, is to provide an overview and brief explanation of some central concepts involved in predictive processing (PP). Even those who consider themselves experts on the topic may find it helpful to see how
Metzinger, Thomas, Wiese, Wanja
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