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  1. Literal Perceptual Inference.Alex Kiefer - 2017 - In Metzinger Thomas & Wiese Wanja (eds.), Philosophy and Predictive Processing. MIND Group.
    In this paper, I argue that theories of perception that appeal to Helmholtz’s idea of unconscious inference (“Helmholtzian” theories) should be taken literally, i.e. that the inferences appealed to in such theories are inferences in the full sense of the term, as employed elsewhere in philosophy and in ordinary discourse. -/- In the course of the argument, I consider constraints on inference based on the idea that inference is a deliberate acton, and on the idea that inferences depend on the (...)
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  • Hierarchical minds and the perception/cognition distinction.Daniel Williams - 2023 - Inquiry: An Interdisciplinary Journal of Philosophy 66 (2):275-297.
    Recent research in cognitive and computational neuroscience portrays the neocortex as a hierarchically structured prediction machine. Several theorists have drawn on this research to challenge the traditional distinction between perception and cognition – specifically, to challenge the very idea that perception and cognition constitute useful kinds from the perspective of cognitive neuroscience. In place of this traditional taxonomy, such theorists advocate a unified inferential hierarchy subject to substantial bi-directional message passing. I outline the nature of this challenge and then raise (...)
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  • Beyond the 'Bayesian blur': predictive processing and the nature of subjective experience.Andy Clark - 2018 - Journal of Consciousness Studies 25 (3-4):71-87.
    Recent work in cognitive and computational neuroscience depicts the brain as in some sense implementing probabilistic inference. This suggests a puzzle. If the processing that enables perceptual experience involves representing or approximating probability distributions, why does experience itself appear univocal and determinate, apparently bearing no traces of those probabilistic roots? In this paper, I canvass a range of responses, including the denial of univocality and determinacy itself. I argue that there is reason to think that it is our conception of (...)
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  • Multiscale integration: beyond internalism and externalism.Maxwell J. D. Ramstead, Michael D. Kirchhoff, Axel Constant & Karl J. Friston - 2019 - Synthese 198 (Suppl 1):41-70.
    We present a multiscale integrationist interpretation of the boundaries of cognitive systems, using the Markov blanket formalism of the variational free energy principle. This interpretation is intended as a corrective for the philosophical debate over internalist and externalist interpretations of cognitive boundaries; we stake out a compromise position. We first survey key principles of new radical views of cognition. We then describe an internalist interpretation premised on the Markov blanket formalism. Having reviewed these accounts, we develop our positive multiscale account. (...)
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  • First principles in the life sciences: the free-energy principle, organicism, and mechanism.Matteo Colombo & Cory Wright - 2021 - Synthese 198 (14):3463–3488.
    The free-energy principle states that all systems that minimize their free energy resist a tendency to physical disintegration. Originally proposed to account for perception, learning, and action, the free-energy principle has been applied to the evolution, development, morphology, anatomy and function of the brain, and has been called a postulate, an unfalsifiable principle, a natural law, and an imperative. While it might afford a theoretical foundation for understanding the relationship between environment, life, and mind, its epistemic status is unclear. Also (...)
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  • Direct perception and the predictive mind.Zoe Drayson - 2018 - Philosophical Studies 175 (12):3145-3164.
    Predictive approaches to the mind claim that perception, cognition, and action can be understood in terms of a single framework: a hierarchy of Bayesian models employing the computational strategy of predictive coding. Proponents of this view disagree, however, over the extent to which perception is direct on the predictive approach. I argue that we can resolve these disagreements by identifying three distinct notions of perceptual directness: psychological, metaphysical, and epistemological. I propose that perception is plausibly construed as psychologically indirect on (...)
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  • Predictive brains, dreaming selves, sleeping bodies: how the analysis of dream movement can inform a theory of self- and world-simulation in dreams.Jennifer M. Windt - 2018 - Synthese 195 (6):2577-2625.
    In this paper, I discuss the relationship between bodily experiences in dreams and the sleeping, physical body. I question the popular view that dreaming is a naturally and frequently occurring real-world example of cranial envatment. This view states that dreams are functionally disembodied states: in a majority of dreams, phenomenal experience, including the phenomenology of embodied selfhood, unfolds completely independently of external and peripheral stimuli and outward movement. I advance an alternative and more empirically plausible view of dreams as weakly (...)
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  • Vanilla PP for Philosophers: A Primer on Predictive Processing.Wanja Wiese & Thomas Metzinger - 2017 - Philosophy and Predictive Processing.
    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 the central terms are used in this collection. To keep things simple, we will first informally define a set of features important to predictive processing, supplemented by some short explanations and an alphabetic glossary. -/- The features described here (...)
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  • A problem of scope for the free energy principle as a theory of cognition.Andrew Sims - 2016 - Philosophical Psychology 29 (7):967-980.
    Those who endorse the free energy principle as a theory of cognition are committed to three propositions that are jointly incompatible but which will cohere if one of them is denied. The first of these is that the free energy principle gives us a self-sufficient explanation of what all cognitive systems consist in: a specific computational architecture. The second is that all adaptive behavior is driven by the free energy principle and the process of model-based inference it entails. The third (...)
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  • The Self‐Evidencing Brain.Jakob Hohwy - 2014 - Noûs 50 (2):259-285.
    An exciting theory in neuroscience is that the brain is an organ for prediction error minimization. This theory is rapidly gaining influence and is set to dominate the science of mind and brain in the years to come. PEM has extreme explanatory ambition, and profound philosophical implications. Here, I assume the theory, briefly explain it, and then I argue that PEM implies that the brain is essentially self-evidencing. This means it is imperative to identify an evidentiary boundary between the brain (...)
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  • (1 other version)Top-Down and Bottom-Up in Delusion Formation.Jakob Hohwy - 2004 - Philosophy, Psychiatry, and Psychology 11 (1):65-70.
    In lieu of an abstract, here is a brief excerpt of the content:Philosophy, Psychiatry, & Psychology 11.1 (2004) 65-70 [Access article in PDF] Top-Down and Bottom-Up in Delusion Formation Jakob Hohwy Keywords delusions, top-down, bottom-up, predictive coding Some delusions may arise as responses to unusual experiences (Davies et al. 2001; Maher 1974;). The implication is that delusion formation in some cases involves some kind of bottom-up mechanism—roughly, from perception to belief. Delusion formation may also involve some kind of top-down mechanism. (...)
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  • Predictive coding and representationalism.Paweł Gładziejewski - 2016 - Synthese 193 (2).
    According to the predictive coding theory of cognition , brains are predictive machines that use perception and action to minimize prediction error, i.e. the discrepancy between bottom–up, externally-generated sensory signals and top–down, internally-generated sensory predictions. Many consider PCT to have an explanatory scope that is unparalleled in contemporary cognitive science and see in it a framework that could potentially provide us with a unified account of cognition. It is also commonly assumed that PCT is a representational theory of sorts, in (...)
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  • Cognitive Penetrability: Modularity, Epistemology, and Ethics.Zoe Jenkin & Susanna Siegel - 2015 - Review of Philosophy and Psychology 6 (4):531-545.
    Introduction to Special Issue of Review of Philosophy and Psychology. Overview of the central issues in cognitive architecture, epistemology, and ethics surrounding cognitive penetrability. Special issue includes papers by philosophers and psychologists: Gary Lupyan, Fiona Macpherson, Reginald Adams, Anya Farennikova, Jona Vance, Francisco Marchi, Robert Cowan.
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  • Predictive coding explains binocular rivalry: an epistemological review.Jakob Hohwy, Andreas Roepstorff & Karl Friston - 2008 - Cognition 108 (3):687-701.
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  • (1 other version)Top-down and bottom-up in delusion formation.Jakob Hohwy - 2004 - Philosophy Psychiatry and Psychology 11 (1):65-70.
    In lieu of an abstract, here is a brief excerpt of the content:Philosophy, Psychiatry, & Psychology 11.1 (2004) 65-70 [Access article in PDF] Top-Down and Bottom-Up in Delusion Formation Jakob Hohwy Keywords delusions, top-down, bottom-up, predictive coding Some delusions may arise as responses to unusual experiences (Davies et al. 2001; Maher 1974;). The implication is that delusion formation in some cases involves some kind of bottom-up mechanism—roughly, from perception to belief. Delusion formation may also involve some kind of top-down mechanism. (...)
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  • The emulation theory of representation: Motor control, imagery, and perception.Rick Grush - 2004 - Behavioral and Brain Sciences 27 (3):377-396.
    The emulation theory of representation is developed and explored as a framework that can revealingly synthesize a wide variety of representational functions of the brain. The framework is based on constructs from control theory (forward models) and signal processing (Kalman filters). The idea is that in addition to simply engaging with the body and environment, the brain constructs neural circuits that act as models of the body and environment. During overt sensorimotor engagement, these models are driven by efference copies in (...)
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  • Moving Beyond Metaphors.Chris Eliasmith - 2003 - Journal of Philosophy 100 (10):493-520.
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  • Free-Energy Minimization and the Dark-Room Problem.Karl Friston, Christopher Thornton & Andy Clark - 2012 - Frontiers in Psychology 3.
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  • Whatever next? Predictive brains, situated agents, and the future of cognitive science.Andy Clark - 2013 - Behavioral and Brain Sciences 36 (3):181-204.
    Brains, it has recently been argued, are essentially prediction machines. They are bundles of cells that support perception and action by constantly attempting to match incoming sensory inputs with top-down expectations or predictions. This is achieved using a hierarchical generative model that aims to minimize prediction error within a bidirectional cascade of cortical processing. Such accounts offer a unifying model of perception and action, illuminate the functional role of attention, and may neatly capture the special contribution of cortical processing to (...)
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  • Priors in perception: Top-down modulation, Bayesian perceptual learning rate, and prediction error minimization.Jakob Hohwy - 2017 - Consciousness and Cognition 47:75-85.
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  • Content and misrepresentation in hierarchical generative models.Alex Kiefer & Jakob Hohwy - 2018 - Synthese 195 (6):2387-2415.
    In this paper, we consider how certain longstanding philosophical questions about mental representation may be answered on the assumption that cognitive and perceptual systems implement hierarchical generative models, such as those discussed within the prediction error minimization framework. We build on existing treatments of representation via structural resemblance, such as those in Gładziejewski :559–582, 2016) and Gładziejewski and Miłkowski, to argue for a representationalist interpretation of the PEM framework. We further motivate the proposed approach to content by arguing that it (...)
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  • Predictive perceptual systems.Nico Orlandi - 2018 - Synthese 195 (6):2367-2386.
    This article attempts to clarify the commitments of a predictive coding approach to perception. After summarizing predictive coding theory, the article addresses two questions. Is a predictive coding perceptual system also a Bayesian system? Is it a Kantian system? The article shows that the answer to these questions is negative.
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  • Computational Neuropsychology and Bayesian Inference.Thomas Parr, Geraint Rees & Karl J. Friston - 2018 - Frontiers in Human Neuroscience 12.
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  • Transcending the evidentiary boundary: Prediction error minimization, embodied interaction, and explanatory pluralism.Regina E. Fabry - 2017 - Philosophical Psychology 30 (4):395-414.
    In a recent paper, Jakob Hohwy argues that the emerging predictive processing perspective on cognition requires us to explain cognitive functioning in purely internalistic and neurocentric terms. The purpose of the present paper is to challenge the view that PP entails a wholesale rejection of positions that are interested in the embodied, embedded, extended, or enactive dimensions of cognitive processes. I will argue that Hohwy’s argument from analogy, which forces an evidentiary boundary into the picture, lacks the argumentative resources to (...)
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  • Pathologies of belief.Martin Davies & Max Coltheart - 2000 - Mind and Language 15 (1):1-46.
    In this book, psychologists and philosophers describe and discuss a range of case studies of delusional beliefs, drawing out general lessons both for the cognitive architecture of the mind and for the notion of rationality, and exploring connections between the delusional beliefs that occur in schizophrenia and the flawed understanding of beliefs that is characteristic of autism.
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  • (1 other version)If perception is probabilistic, why does it not seem probabilistic?N. Block - 2018 - Philosophical Transactions of the Royal Society B: Biological Sciences 373.
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  • Introduction – Cognitive penetration and predictive coding. Pushing the debate forward with the recent achievements of cognitive science.Albert Newen, Francesco Marchi & Peter Brössel - 2017 - Consciousness and Cognition 47:1-5.
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  • Predictive brains and embodied, enactive cognition: an introduction to the special issue.Michael Kirchhoff - 2018 - Synthese 195 (6):2355-2366.
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