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Livres sur le sujet « Predictive Reasoning »

Auteur : Grafiati

Publié le 9 mars 2023

Mis à jour le 31 juillet 2025

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Consultez les 24 meilleurs livres pour votre recherche sur le sujet « Predictive Reasoning ».

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1

Klein, Patrick. Combining Expert Knowledge and Deep Learning with Case-Based Reasoning for Predictive Maintenance. Springer Fachmedien Wiesbaden, 2025. https://doi.org/10.1007/978-3-658-46986-3.

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Wolsey, Thomas DeVere. Learning to predict and predicting to learn: Cognitive strategies and instructional routines. Pearson/Allyn & Bacon, 2009.

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3

Bridgeman, Brent. Predictions of freshman grade-point average from the revised and recentered SAT I, Reasoning Test. College Entrance Examination Board, 2000.

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4

Trevor, Hastie, Tibshirani Robert, and SpringerLink (Online service), eds. The Elements of Statistical Learning: Data Mining, Inference, and Prediction. Springer-Verlag New York, 2009.

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5

Matwijkiw, Bronik. Predictive Reasoning in Legal Theory (Applied Legal Philosophy). Ashgate Pub Ltd, 2003.

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Essex, University of, ed. Predictive conditionals, nonmonotonicity and reasoning about the future. 1988.

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7

Reason and Prediction. Cambridge University Press, 2009.

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8

Rosenberg, Alex. Blunt Instrument. The MIT Press, 2025. https://doi.org/10.7551/mitpress/15672.001.0001.

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Why economic theory—with no track-record of predictive success—is still an indispensable tool for protecting civilized life. Economic theory has never gotten any better at prediction. Its explanations are always after the fact. The mathematical models economists have devoted themselves to for more than a century can't be improved to enhance their empirical relevance. But from this research program that never paid off, a very useful tool has emerged—game theory. It's just what civilized society needs to protect itself from the rapaciousness that condemns all markets to fail. In Blunt Instrument

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9

White, Stephen J. Responsibility and the Demands of Morality. Edited by Kyla Ebels-Duggan and Berislav Marušić. Oxford University PressOxford, 2025. https://doi.org/10.1093/9780191997273.001.0001.

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Abstract Stephen J. White was developing a comprehensive view of responsibility and its limits when his life was tragically cut short. This volume contains his collected papers. White’s view of responsibility spans across ethics, action theory, and interpersonal epistemology. Its core idea is that to be responsible for doing or believing something is to be answerable for why one has done it or why one believes it. And to be responsible for a state of affairs is to be answerable for why things are that way, rather than some other way. White deploys this conception of responsibility to illuminat

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Gallagher, Shaun. Enactivist Interventions. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198794325.001.0001.

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Enactivist Interventions explores central issues in the contemporary debates about embodied cognition, addressing interdisciplinary questions about intentionality, representation, affordances, the role of affect, and the problems of perception and cognitive penetration, action and free will, higher-order cognition, and intersubjectivity. It argues for a rethinking of the concept of mind, drawing on pragmatism, phenomenology, and cognitive science. It interprets enactivism as a philosophy of nature that has significant methodological and theoretical implications for the scientific investigation

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White, Chris, and Richard Koonce. Working with the Emotional Investor. ABC-CLIO, 2016. http://dx.doi.org/10.5040/9798216038801.

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An invaluable resource for wealth managers advising individuals, couples, and families, this book explains why human emotions drive all investor behavior and makes a powerful case for why advisors need to be aware of such emotions in advising clients—especially in high-stakes situations. Despite the fact that wealth advisors may employ algorithms, fancy financial models, economic theory, and predictive reasoning to forecast future investment returns, according to seasoned wealth management advisor Chris White, people—in other words, clients—basically decide how much risk to take with their mon

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Superforecasting: The Art and Science of Prediction. Penguin Random House, 2015.

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13

Tetlock, Philip E., and Dan Gardner. Superforecasting: The Art and Science of Prediction. Broadway Books, 2016.

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14

Superforecasting: The Art and Science of Prediction. Crown, 2015.

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15

Superforecasting: The Art and Science of Prediction. Penguin Random House, 2016.

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16

Superforecasting: The Art and Science of Prediction. Penguin Random House, 2015.

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17

Superforecasting: The Art and Science of Prediction. Crown, 2015.

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18

Watson, Jamie Carlin, Robert Arp, and Skyler King. Critical Thinking. Bloomsbury Publishing Plc, 2024. http://dx.doi.org/10.5040/9781350232976.

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‘You shouldn’t drink too much. The Earth is round. Milk is good for your bones.’ Are any of these claims true? How can you tell? Can you ever be certain you are right? For anyone tackling philosophical logic for the first time, here is a practical guide to the skills required to think critically. From the basics of good reasoning to the difference between claims, evidence and arguments, Jamie Carlin Watson, Robert Arp and Skyler King cover the topics found in an introductory course. Now revised and fully updated, this 3rd edition gives you the chance to develop critical thinking skills that ca

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Bluhm, Robyn, Gosia Raczek, Matthew Broome, and Matthew B. Wall. Ethical Issues in Brain Imaging in Psychiatry. Edited by John Z. Sadler, K. W. M. Fulford, and Werdie (C W. ). van Staden. Oxford University Press, 2015. http://dx.doi.org/10.1093/oxfordhb/9780198732372.013.21.

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With the increasing use of neuroimaging research in psychiatry and the role imaging plays in society more generally in how mental illness is understood, it is important to consider the myriad ethical issues raised by imaging technologies, for example, for medicine, for law, and for patients. This chapter provides an overview of major ethical questions concerning: imaging of ethical reasoning in psychiatric disorder; forensic psychiatry, criminality, and responsibility; mindblindness and empathy in autism; the use of neuroimaging for screening, prediction, and diagnosis; “mind reading” and the

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Gerstenberg, Tobias, and Joshua B. Tenenbaum. Intuitive Theories. Edited by Michael R. Waldmann. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780199399550.013.28.

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This chapter first explains what intuitive theories are, how they can be modeled as probabilistic, generative programs, and how intuitive theories support various cognitive functions such as prediction, counterfactual reasoning, and explanation. It focuses on two domains of knowledge: people’s intuitive understanding of physics, and their intuitive understanding of psychology. It shows how causal judgments can be modeled as counterfactual contrasts operating over an intuitive theory of physics, and how explanations of an agent’s behavior are grounded in a rational planning model that is invert

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Grush, Rick, and Lisa Damm. Cognition and the Brain. Edited by Eric Margolis, Richard Samuels, and Stephen P. Stich. Oxford University Press, 2012. http://dx.doi.org/10.1093/oxfordhb/9780195309799.013.0012.

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The article explores the relationship between cognition and the brain. Some researches indicate that emotions provide information, anticipate future responses, influence reasoning strategy, index value, and direct attention toward particular objects but few psychologists have attempted to incorporate these results into an integrative general theory of cognition and emotion. Antonio Damasio claims that emotions are primarily representations of somatic states, including visceral and musculoskeletal, at the psychological level. The relationship between the event type and the associated emotional

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Goodson, Jacob L., and Brad Elliott Stone, eds. Rorty and the Prophetic. The Rowman & Littlefield Publishing Group, 2021. https://doi.org/10.5040/9781978731592.

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Rorty and the Prophetic interrogates and provides a constructive assessment to the American neo-pragmatist philosopher Richard Rorty’s critiques of Jewish ethics. Rorty dismisses the public applicability of Jewish moral reasoning, because it is based on “the will of God” through divine revelation. As a self-described secular philosopher, it comes as no surprise that Rorty does not find public applicability within a divinely-ordered Jewish ethic. Rorty also rejects the French Jewish philosopher Emmanuel Levinas’s ethics, which is based upon the notion of infinite responsibility to the Face of t

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Kvanvig, Jonathan L. Skepticism and Fallibilism. Oxford University PressOxford, 2024. http://dx.doi.org/10.1093/9780198924821.001.0001.

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Abstract There are two common responses to skepticism, the epistemological claim that knowledge is at least non-existent and perhaps also unachievable, and both are to be avoided. So I argue here. The first response is to succumb to it, trying then to find some adequate basis for life that foregoes presumptions of knowledge. The second response is dismissive, viewing it as an overwrought, hyperbolic response to human limitations, so wrongheaded that nothing beyond a laconic response is needed before returning to important philosophical tasks. Avoiding these responses requires theory developmen

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Chen, Min, J. Michael Dunn, Amos Golan, and Aman Ullah, eds. Advances in Info-Metrics. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780190636685.001.0001.

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Info-metrics is a framework for modeling, reasoning, and drawing inferences under conditions of noisy and insufficient information. It is an interdisciplinary framework situated at the intersection of information theory, statistical inference, and decision-making under uncertainty. In a recent book on the Foundations of Info-Metrics, Golan (OUP, 2018) provides the theoretical underpinning of info-metrics and the necessary tools and building blocks for using that framework. This volume complements Golan’s book and expands on the series of studies on the classical maximum entropy and Bayesian me

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