Results for 'prediction'

998 found
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  1.  19
    (Hard ernst) corrigendum Van Brakel, J., philosophy of chemistry (u. klein).Hallvard Lillehammer, Moral Realism, Normative Reasons, Rational Intelligibility, Wlodek Rabinowicz, Does Practical Deliberation, Crowd Out Self-Prediction & Peter McLaughlin - 2002 - Erkenntnis 57 (1):91-122.
    It is a popular view thatpractical deliberation excludes foreknowledge of one's choice. Wolfgang Spohn and Isaac Levi have argued that not even a purely probabilistic self-predictionis available to thedeliberator, if one takes subjective probabilities to be conceptually linked to betting rates. It makes no sense to have a betting rate for an option, for one's willingness to bet on the option depends on the net gain from the bet, in combination with the option's antecedent utility, rather than on the offered (...)
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  2.  29
    Can predictive processing explain self-deception?Marko Jurjako - 2022 - Synthese 200 (4):1-20.
    The prediction error minimization framework denotes a family of views that aim at providing a unified theory of perception, cognition, and action. In this paper, I discuss some of the theoretical limitations of PEM. It appears that PEM cannot provide a satisfactory explanation of motivated reasoning, as instantiated in phenomena such as self-deception, because its cognitive ontology does not have a separate category for motivational states such as desires. However, it might be thought that this objection confuses levels of (...)
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  3. 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 (...)
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  4. Prediction, history and political science.Robert Northcott - 2023 - In Harold Kincaid & Jeroen van Bouwel (eds.), The Oxford Handbook of Philosophy of Political Science. New York: Oxford University Press.
    To succeed, political science usually requires either prediction or contextual historical work. Both of these methods favor explanations that are narrow-scope, applying to only one or a few cases. Because of the difficulty of prediction, the main focus of political science should often be contextual historical work. These epistemological conclusions follow from the ubiquity of causal fragility, under-determination, and noise. They tell against several practices that are widespread in the discipline: wide-scope retrospective testing, such as much large-n statistical (...)
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  5. Predicting the Body or Embodied Prediction? New Directions in Embodied Predictive Processing (2nd edition).Luke Kersten - forthcoming - In Larry Shapiro & Shannon Spaulding (eds.), Routledge Handbook of Embodied Cognition. Routledge. pp. 1-17.
    This chapter wades into the growing discussion surrounding embodied cognition and predictive processing. After surveying a recent debate between Jakob Hohwy and Andy Clark, it articulates two outstanding issues facing discussions of compatibility. It argues that headway on these issues can be made by drawing on the resources of philosophy of science.
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  6. The Predictive Mind.Jakob Hohwy - 2013 - Oxford, GB: Oxford University Press UK.
    A new theory is taking hold in neuroscience. It is the theory that the brain is essentially a hypothesis-testing mechanism, one that attempts to minimise the error of its predictions about the sensory input it receives from the world. It is an attractive theory because powerful theoretical arguments support it, and yet it is at heart stunningly simple. Jakob Hohwy explains and explores this theory from the perspective of cognitive science and philosophy. The key argument throughout The Predictive Mind is (...)
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  7.  14
    Explanation, prediction, and conceptual exploration.Daniel Hausman - forthcoming - Journal of Economic Methodology:1-9.
    This essay aims to provide a rigorous foundation for Gilboa's, Postlewaite's, Samuelson's and Schmeidler's (GPSS's) account of the constitution of models and the role of models in explanation and prediction. Although I shall offer some criticisms, my goal is to sketch analyses of explanations and models that complement GPSS's distinctions between the uses of models to explain, prescribe, predict, and explore the consequences of theories.
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  8.  2
    Predicted humans: emerging technologies and the burden of sensemaking.Simona Chiodo - 2024 - New York, NY: Routledge.
    Predicting our future as individuals is a central to the role of much emerging technology, from hiring algorithms that predict our professional success (or failure) to biomarkers that predict how long (or short) our healthy (or unhealthy) life will be. Yet, much in western culture, from scripture to mythology to philosophy, suggests that knowing one's future may not be in the subject's best interests and might even lead to disaster. If predicting our future as individuals can be harmful as well (...)
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  9.  10
    On prediction-modelers and decision-makers: why fairness requires more than a fair prediction model.Teresa Scantamburlo, Joachim Baumann & Christoph Heitz - forthcoming - AI and Society:1-17.
    An implicit ambiguity in the field of prediction-based decision-making concerns the relation between the concepts of prediction and decision. Much of the literature in the field tends to blur the boundaries between the two concepts and often simply refers to ‘fair prediction’. In this paper, we point out that a differentiation of these concepts is helpful when trying to implement algorithmic fairness. Even if fairness properties are related to the features of the used prediction model, what (...)
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  10. Representation in the Prediction Error Minimization Framework.Alex Kiefer & Jakob Hohwy - 2009 - In Sarah Robins, John Francis Symons & Paco Calvo (eds.), The Routledge Companion to Philosophy of Psychology. New York, NY: Routledge. pp. 384-409.
    This chapter focuses on what’s novel in the perspective that the prediction error minimization (PEM) framework affords on the cognitive-scientific project of explaining intelligence by appeal to internal representations. It shows how truth-conditional and resemblance-based approaches to representation in generative models may be integrated. The PEM framework in cognitive science is an approach to cognition and perception centered on a simple idea: organisms represent the world by constantly predicting their own internal states. PEM theories often stress the hierarchical structure (...)
     
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  11.  1
    Impartiality, Predictability, and Indirect Consequentialism.Brad Hooker & Roger Crisp (eds.) - 2000 - Oxford: Clarendon Press.
    This paper considers the question of whether impartiality and predictability are illusory to the extent that every consequentialist ethical theory must be hopeless.
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  12.  22
    Conceptual engineering, predictive processing, and a new implementation problem.Guido Löhr & Christian Michel - 2024 - Mind and Language 39 (2):201-219.
    According to predictive processing, an increasingly influential paradigm in cognitive science, the function of the brain is to minimize the prediction error of its sensory input. Conceptual engineering is the practice of assessing and changing concepts or word meanings. We contribute to both strands of research by proposing the first cognitive account of conceptual engineering, using the predictive processing framework. Our model reveals a new kind of implementation problem as prediction errors are only minimized if enough agents embrace (...)
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  13. 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, (...)
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  14. Diabetes Prediction Using Artificial Neural Network.Nesreen Samer El_Jerjawi & Samy S. Abu-Naser - 2018 - International Journal of Advanced Science and Technology 121:54-64.
    Diabetes is one of the most common diseases worldwide where a cure is not found for it yet. Annually it cost a lot of money to care for people with diabetes. Thus the most important issue is the prediction to be very accurate and to use a reliable method for that. One of these methods is using artificial intelligence systems and in particular is the use of Artificial Neural Networks (ANN). So in this paper, we used artificial neural networks (...)
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  15.  2
    Predictive maintenance of vehicle fleets through hybrid deep learning-based ensemble methods for industrial IoT datasets.Arindam Chaudhuri & Soumya K. Ghosh - forthcoming - Logic Journal of the IGPL.
    Connected vehicle fleets have formed significant component of industrial internet of things scenarios as part of Industry 4.0 worldwide. The number of vehicles in these fleets has grown at a steady pace. The vehicles monitoring with machine learning algorithms has significantly improved maintenance activities. Predictive maintenance potential has increased where machines are controlled through networked smart devices. Here, benefits are accrued considering uptimes optimization. This has resulted in reduction of associated time and labor costs. It has also provided significant increase (...)
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  16. Prediction, history and political science.Robert Northcott - 2023 - In Harold Kincaid & Jeroen van Bouwel (eds.), The Oxford Handbook of Philosophy of Political Science. New York: Oxford University Press.
     
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  17.  29
    Predictive failure.Ian Ravenscroft - 1999 - Philosophical Papers 28 (3):143-168.
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  18. Prediction versus accommodation and the risk of overfitting.Christopher Hitchcock & Elliott Sober - 2004 - British Journal for the Philosophy of Science 55 (1):1-34.
    an observation to formulate a theory, it is no surprise that the resulting theory accurately captures that observation. However, when the theory makes a novel prediction—when it predicts an observation that was not used in its formulation—this seems to provide more substantial confirmation of the theory. This paper presents a new approach to the vexed problem of understanding the epistemic difference between prediction and accommodation. In fact, there are several problems that need to be disentangled; in all of (...)
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  19. Predictions and Primitive Ontology in Quantum Foundations: A Study of Examples.Valia Allori, Sheldon Goldstein, Roderich Tumulka & Nino Zanghì - 2014 - British Journal for the Philosophy of Science 65 (2):323-352.
    A major disagreement between different views about the foundations of quantum mechanics concerns whether for a theory to be intelligible as a fundamental physical theory it must involve a ‘primitive ontology’ (PO), i.e. variables describing the distribution of matter in four-dimensional space–time. In this article, we illustrate the value of having a PO. We do so by focusing on the role that the PO plays for extracting predictions from a given theory and discuss valid and invalid derivations of predictions. To (...)
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  20.  13
    The predictive factors of moral courage among hospital nurses.Maryam Dehghani, Roghieh Nazari, Hamid Sharif-Nia, Noushin Mousazadeh & Hamideh Hakimi - 2023 - Philosophy, Ethics, and Humanities in Medicine 18 (1):1-7.
    BackgroundHaving moral courage is a crucial characteristic for nurses to handle ethical quandaries, stay true to their professional obligations towards patients, and uphold ethical principles. This concept can be influenced by various factors including personal, professional, organizational, and leadership considerations. The purpose of this study was to explore the predictors of moral courage among nurses working in hospitals.MethodsIn 2018, an observational cross-sectional study was carried out on 267 nurses employed in six hospitals located in the northern region of Iran. The (...)
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  21. The Cost of Prediction.Johannes Lenhard, Simon Stephan & Hans Hasse - manuscript
    This paper examines a looming reproducibility crisis in the core of the hard sciences. Namely, it concentrates on molecular modeling and simulation (MMS), a family of methods that predict properties of substances through computing interactions on a molecular level and that is widely popular in physics, chemistry, materials science, and engineering. The paper argues that in order to make quantitative predictions, sophisticated models are needed which have to be evaluated with complex simulation procedures that amalgamate theoretical, technological, and social factors (...)
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  22.  10
    Predicting Behavior With Implicit Measures: Disillusioning Findings, Reasonable Explanations, and Sophisticated Solutions.Franziska Meissner, Laura Anne Grigutsch, Nicolas Koranyi, Florian Müller & Klaus Rothermund - 2019 - Frontiers in Psychology 10.
    Two decades ago, the introduction of the Implicit Association Test (IAT) sparked enthusiastic reactions. With implicit measures like the IAT, researchers hoped to finally be able to bridge the gap between self-reported attitudes on one hand and behavior on the other. Twenty years of research and several meta-analyses later, however, we have to conclude that neither the IAT nor its derivatives have fulfilled these expectations. Their predictive value for behavioral criteria is weak and their incremental validity over and above self-report (...)
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  23. Predictive processing and perception: What does imagining have to do with it?Dan Cavedon-Taylor - 2022 - Consciousness and Cognition 106 (C):103419.
    Predictive processing (PP) accounts of perception are unique not merely in that they postulate a unity between perception and imagination. Rather, they are unique in claiming that perception should be conceptualised in terms of imagination and that the two involve an identity of neural implementation. This paper argues against this postulated unity, on both conceptual and empirical grounds. Conceptually, the manner in which PP theorists link perception and imagination belies an impoverished account of imagery as cloistered from the external world (...)
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  24. Is predictive processing a theory of perceptual consciousness?Tomas Marvan & Marek Havlík - 2021 - New Ideas in Psychology 61 (21).
    Predictive Processing theory, hotly debated in neuroscience, psychology and philosophy, promises to explain a number of perceptual and cognitive phenomena in a simple and elegant manner. In some of its versions, the theory is ambitiously advertised as a new theory of conscious perception. The task of this paper is to assess whether this claim is realistic. We will be arguing that the Predictive Processing theory cannot explain the transition from unconscious to conscious perception in its proprietary terms. The explanations offer (...)
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  25. Predictive Policing and the Ethics of Preemption.Daniel Susser - 2021 - In Ben Jones & Eduardo Mendieta (eds.), The Ethics of Policing: New Perspectives on Law Enforcement. New York: NYU Press.
    The American justice system, from police departments to the courts, is increasingly turning to information technology for help identifying potential offenders, determining where, geographically, to allocate enforcement resources, assessing flight risk and the potential for recidivism amongst arrestees, and making other judgments about when, where, and how to manage crime. In particular, there is a focus on machine learning and other data analytics tools, which promise to accurately predict where crime will occur and who will perpetrate it. Activists and academics (...)
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  26. Predictive processing, perceiving and imagining: Is to perceive to imagine, or something close to it?Michael D. Kirchhoff - 2018 - Philosophical Studies 175 (3):751-767.
    This paper examines the relationship between perceiving and imagining on the basis of predictive processing models in neuroscience. Contrary to the received view in philosophy of mind, which holds that perceiving and imagining are essentially distinct, these models depict perceiving and imagining as deeply unified and overlapping. It is argued that there are two mutually exclusive implications of taking perception and imagination to be fundamentally unified. The view defended is what I dub the ecological–enactive view given that it does not (...)
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  27. Iffy predictions and proper expectations.Matthew A. Benton & John Turri - 2014 - Synthese 191 (8):1857-1866.
    What individuates the speech act of prediction? The standard view is that prediction is individuated by the fact that it is the unique speech act that requires future-directed content. We argue against this view and two successor views. We then lay out several other potential strategies for individuating prediction, including the sort of view we favor. We suggest that prediction is individuated normatively and has a special connection to the epistemic standards of expectation. In the process, (...)
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  28.  4
    Predictive embodied concepts: an exploration of higher cognition within the predictive processing paradigm.Christian Michel - 2023 - Dissertation, University of Edinburgh
    Predictive processing, an increasingly popular paradigm in cognitive sciences, has focused primarily on giving accounts of perception, motor control and a host of psychological phenomena, including consciousness. But higher cognitive processes, like conceptual thought, language, and logic, have received only limited attention to date and PP still stands disconnected from a huge body of research in those areas. In this thesis, I aim to address this gap and I attempt to go some way towards developing and defending a cognitive-computational approach (...)
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  29. On Predicting.Fabrizio Cariani - forthcoming - Ergo: An Open Access Journal of Philosophy.
    I propose an account of the speech act of prediction that denies that the contents of prediction must be about the future and illuminates the relation between prediction and assertion. My account is a synthesis of two ideas: (i) that what is in the future in prediction is the time of discovery and (ii) that, as Benton and Turri recently argued, prediction is best characterized in terms of its constitutive norms.
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  30.  29
    Prediction‐Based Learning and Processing of Event Knowledge.Ken McRae, Kevin S. Brown & Jeffrey L. Elman - 2021 - Topics in Cognitive Science 13 (1):206-223.
    McRae, Brown and Elman argue against the view that events are structured as frequently‐occurring sequences of world stimuli. They underline the importance of temporal structure defining event types and advance a more complex temporal structure, which allows for some variance in the component elements.
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  31. The Phenomenology and Predictive Processing of Time in Depression.Zachariah A. Neemeh & Shaun Gallagher - 2020 - In Dina Mendonça, Manuel Curado & Steven S. Gouveia (eds.), The Philosophy and Science of Predictive Processing. New York, NY: Bloomsbury Publishing. pp. 187-207.
    In this chapter we first elucidate the subjective flow of time particularly as developed by Husserl. We next discuss time and timescales in predictive processing. We then consider how the phenomenological analysis of time can be naturalized within a predictive processing framework. In the final section, we develop an analysis of the temporal disturbances characteristic of depression using the resources of both phenomenology and predictive processing.
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  32. Testable or bust: theoretical lessons for predictive processing.Marcin Miłkowski & Piotr Litwin - 2022 - Synthese 200 (6):1-18.
    The predictive processing account of action, cognition, and perception is one of the most influential approaches to unifying research in cognitive science. However, its promises of grand unification will remain unfulfilled unless the account becomes theoretically robust. In this paper, we focus on empirical commitments of PP, since they are necessary both for its theoretical status to be established and for explanations of individual phenomena to be falsifiable. First, we argue that PP is a varied research tradition, which may employ (...)
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  33. A Dilemma for Solomonoff Prediction.Sven Neth - 2023 - Philosophy of Science 90 (2):288-306.
    The framework of Solomonoff prediction assigns prior probability to hypotheses inversely proportional to their Kolmogorov complexity. There are two well-known problems. First, the Solomonoff prior is relative to a choice of Universal Turing machine. Second, the Solomonoff prior is not computable. However, there are responses to both problems. Different Solomonoff priors converge with more and more data. Further, there are computable approximations to the Solomonoff prior. I argue that there is a tension between these two responses. This is because (...)
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  34. Predictive Processing and Body Representation.Stephen Gadsby & Jakob Hohwy - forthcoming - In Routledge Handbook of Bodily Awareness.
    We introduce the predictive processing account of body representation, according to which body representation emerges via a domain-general scheme of (long-term) prediction error minimisation. We contrast this account against one where body representation is underpinned by domain-specific systems, whose exclusive function is to track the body. We illustrate how the predictive processing account offers considerable advantages in explaining various empirical findings, and we draw out some implications for body representation research.
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  35. Prediction in Joint Action: What, When, and Where.Natalie Sebanz & Guenther Knoblich - 2009 - Topics in Cognitive Science 1 (2):353-367.
    Drawing on recent findings in the cognitive and neurosciences, this article discusses how people manage to predict each other’s actions, which is fundamental for joint action. We explore how a common coding of perceived and performed actions may allow actors to predict the what, when, and where of others’ actions. The “what” aspect refers to predictions about the kind of action the other will perform and to the intention that drives the action. The “when” aspect is critical for all joint (...)
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  36.  57
    Self‐prediction in practical reasoning: Its role and limits.Stephen J. White - 2021 - Noûs 55 (4):825-841.
    Are predictions about how one will freely and intentionally behave in the future ever relevant to how one ought to behave? There is good reason to think they are. As imperfect agents, we have responsibilities of self-management, which seem to require that we take account of the predictable ways we're liable to go wrong. I defend this conclusion against certain objections to the effect that incorporating predictions concerning one's voluntary conduct into one's practical reasoning amounts to evading responsibility for that (...)
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  37. On Predicting Recidivism: Epistemic Risk, Tradeoffs, and Values in Machine Learning.Justin B. Biddle - 2022 - Canadian Journal of Philosophy 52 (3):321-341.
    Recent scholarship in philosophy of science and technology has shown that scientific and technological decision making are laden with values, including values of a social, political, and/or ethical character. This paper examines the role of value judgments in the design of machine-learning systems generally and in recidivism-prediction algorithms specifically. Drawing on work on inductive and epistemic risk, the paper argues that ML systems are value laden in ways similar to human decision making, because the development and design of ML (...)
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  38. Predictive coding and thought.Daniel Williams - 2020 - Synthese 197 (4):1749-1775.
    Predictive processing has recently been advanced as a global cognitive architecture for the brain. I argue that its commitments concerning the nature and format of cognitive representation are inadequate to account for two basic characteristics of conceptual thought: first, its generality—the fact that we can think and flexibly reason about phenomena at any level of spatial and temporal scale and abstraction; second, its rich compositionality—the specific way in which concepts productively combine to yield our thoughts. I consider two strategies for (...)
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  39. Prediction, Accommodation, and the Logic of Discovery.Patrick Maher - 1988 - PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association 1988:273 - 285.
    A widely endorsed thesis in the philosophy of science holds that if evidence for a hypothesis was not known when the hypothesis was proposed, then that evidence confirms the hypothesis more strongly than would otherwise be the case. The thesis has been thought to be inconsistent with Bayesian confirmation theory, but the arguments offered for that view are fallacious. This paper shows how the special value of prediction can in fact be given Bayesian explanation. The explanation involves consideration of (...)
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  40. Prediction error minimization, mental and developmental disorder, and statistical theories of consciousness.Jakob Hohwy - forthcoming - In Rocco Gennaro (ed.), Disturbed Consciousness: New Essays on Psychopathology and Theories of Consciousness. MIT Press.
    This chapter seeks to recover an approach to consciousness from a general theory of brain function, namely the prediction error minimization theory. The way this theory applies to mental and developmental disorder demonstrates its relevance to consciousness. The resulting view is discussed in relation to a contemporary theory of consciousness, namely the idea that conscious perception depends on Bayesian metacognition; this theory is also supported by considerations of psychopathology. This Bayesian theory is first disconnected from the higher-order thought theory, (...)
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  41. Reward Prediction Error Signals are Meta‐Representational.Nicholas Shea - 2014 - Noûs 48 (2):314-341.
    1. Introduction 2. Reward-Guided Decision Making 3. Content in the Model 4. How to Deflate a Metarepresentational Reading Proust and Carruthers on metacognitive feelings 5. A Deflationary Treatment of RPEs? 5.1 Dispensing with prediction errors 5.2 What is use of the RPE focused on? 5.3 Alternative explanations—worldly correlates 5.4 Contrast cases 6. Conclusion Appendix: Temporal Difference Learning Algorithms.
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  42.  15
    Event‐Predictive Cognition: A Root for Conceptual Human Thought.Martin V. Butz, Asya Achimova, David Bilkey & Alistair Knott - 2021 - Topics in Cognitive Science 13 (1):10-24.
    Butz, Achimova, Bilkey, and Knott provide a topic overview and discuss whether the special issue contributions may imply that event‐predictive abilities constitute a root for conceptual human thought, because they enable complex, mutually beneficial, but also intricately competitive, social interactions and language communication.
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  43. Predicting Tumor Category Using Artificial Neural Networks.Ibrahim M. Nasser & Samy S. Abu-Naser - 2019 - International Journal of Academic Health and Medical Research (IJAHMR) 3 (2):1-7.
    In this paper an Artificial Neural Network (ANN) model, for predicting the category of a tumor was developed and tested. Taking patients’ tests, a number of information gained that influence the classification of the tumor. Such information as age, sex, histologic-type, degree-of-diffe, status of bone, bone-marrow, lung, pleura, peritoneum, liver, brain, skin, neck, supraclavicular, axillar, mediastinum, and abdominal. They were used as input variables for the ANN model. A model based on the Multilayer Perceptron Topology was established and trained using (...)
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  44. Predictive processing and anti-representationalism.Marco Facchin - 2021 - Synthese 199 (3-4):11609-11642.
    Many philosophers claim that the neurocomputational framework of predictive processing entails a globally inferentialist and representationalist view of cognition. Here, I contend that this is not correct. I argue that, given the theoretical commitments these philosophers endorse, no structure within predictive processing systems can be rightfully identified as a representational vehicle. To do so, I first examine some of the theoretical commitments these philosophers share, and show that these commitments provide a set of necessary conditions the satisfaction of which allows (...)
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  45. Predictive processing as a systematic basis for identifying the neural correlates of consciousness.Jakob Hohwy & Anil Seth - 2020 - Philosophy and the Mind Sciences 1 (II).
    The search for the neural correlates of consciousness is in need of a systematic, principled foundation that can endow putative neural correlates with greater predictive and explanatory value. Here, we propose the predictive processing framework for brain function as a promising candidate for providing this systematic foundation. The proposal is motivated by that framework’s ability to address three general challenges to identifying the neural correlates of consciousness, and to satisfy two constraints common to many theories of consciousness. Implementing the search (...)
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  46.  7
    Predicting Definite and Indefinite Referents During Discourse Comprehension: Evidence from Event‐Related Potentials.Georgia-Ann Carter & Mante S. Nieuwland - 2022 - Cognitive Science 46 (2):e13092.
    Linguistic predictions may be generated from and evaluated against a representation of events and referents described in the discourse. Compatible with this idea, recent work shows that predictions about novel noun phrases include their definiteness. In the current follow-up study, we ask whether people engage similar prediction-related processes for definite and indefinite referents. This question is relevant for linguistic theories that imply a processing difference between definite and indefinite noun phrases, typically because definiteness is thought to require a uniquely (...)
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  47.  12
    Event‐Predictive Cognition: A Root for Conceptual Human Thought.Martin V. Butz, Asya Achimova, David Bilkey & Alistair Knott - 2021 - Topics in Cognitive Science 13 (1):10-24.
    Butz, Achimova, Bilkey, and Knott provide a topic overview and discuss whether the special issue contributions may imply that event‐predictive abilities constitute a root for conceptual human thought, because they enable complex, mutually beneficial, but also intricately competitive, social interactions and language communication.
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  48. Good predictions and bad accommodations.Eric Barnes - 2019 - In Maria Lasonen-Aarnio & Clayton Littlejohn (eds.), The Routledge Handbook of the Philosophy of Evidence. Routledge.
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  49. Reintroducing prediction to explanation.Heather E. Douglas - 2009 - Philosophy of Science 76 (4):444-463.
    Although prediction has been largely absent from discussions of explanation for the past 40 years, theories of explanation can gain much from a reintroduction. I review the history that divorced prediction from explanation, examine the proliferation of models of explanation that followed, and argue that accounts of explanation have been impoverished by the neglect of prediction. Instead of a revival of the symmetry thesis, I suggest that explanation should be understood as a cognitive tool that assists us (...)
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    Predictive minds can think: addressing generality and surface compositionality of thought.Sofiia Rappe - 2022 - Synthese 200 (1):1-22.
    Predictive processing framework has found wide applications in cognitive science and philosophy. It is an attractive candidate for a unified account of the mind in which perception, action, and cognition fit together in a single model. However, PP cannot claim this role if it fails to accommodate an essential part of cognition—conceptual thought. Recently, Williams argued that PP struggles to address at least two of thought’s core properties—generality and rich compositionality. In this paper, I show that neither necessarily presents a (...)
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