Results for 'error sources'

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  1. Sources of Immunity to Error Through Misidentification.Simon Prosser - 2012 - In Simon Prosser Francois Recanati (ed.), Immunity to Error Through Misidentification: New Essays. Cambridge University Press. pp. 158-179.
    Saying ┌ that ψ is F ┐ when one should have said ┌ that φ is F ┐ involves making one of two different kinds of error. Either the wrong nominal term (┌ ψ ┐ instead of ┌ φ ┐) is ascribed to the right object or the right nominal term is ascribed to the wrong object. Judgments susceptible to one kind of error are immune to the other. Indexical terms such as ‘here’ and ‘now’ exhibit a corresponding (...)
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  2. Linguistic Intuitions: Error Signals and the Voice of Competence.Steven Gross - 2020 - In Samuel Schindler, Anna Drożdżowicz & Karen Brøcker (eds.), Linguistic Intuitions: Evidence and Method. Oxford, UK: Oxford University Press.
    Linguistic intuitions are a central source of evidence across a variety of linguistic domains. They have also long been a source of controversy. This chapter aims to illuminate the etiology and evidential status of at least some linguistic intuitions by relating them to error signals of the sort posited by accounts of on-line monitoring of speech production and comprehension. The suggestion is framed as a novel reply to Michael Devitt’s claim that linguistic intuitions are theory-laden “central systems” responses, rather (...)
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  3. The origins of modal error.George Bealer - 2004 - Dialectica 58 (1):11-42.
    Modal intuitions are the primary source of modal knowledge but also of modal error. According to the theory of modal error in this paper, modal intuitions retain their evidential force in spite of their fallibility, and erroneous modal intuitions are in principle identifiable and eliminable by subjecting our intuitions to a priori dialectic. After an inventory of standard sources of modal error, two further sources are examined in detail. The first source - namely, the failure (...)
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  4. Uncanny Errors, Productive Contresens. Merleau-Ponty’s Phenomenological Appropriation of Ferdinand de Saussure’s General Linguistics.Beata Stawarska - 2013 - Chiasmi International 15:151-165.
    Stawarska considers the ambiguities surrounding the antagonism between the phenomenological and the structuralist traditions by pointing out that the supposed foundation of structuralism, the Course in General Linguistics, was ghostwritten posthumously by two editors who projected a dogmatic doctrine onto Saussure’s lectures, while the authentic materials related to Saussure’s linguistics are teeming with phenomenological references. She then narrows the focus to Merleau-Ponty’s engagement with Saussure’s linguistics and argues that it offers an unusual, if not an uncanny, reading of the Course, (...)
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  5. Voluntarist reasons and the sources of normativity.Ruth Chang - 2009 - In David Sobel & Steven Wall (eds.), Reasons for Action. New York: Cambridge University Press. pp. 243-71.
    This paper investigates two puzzles in practical reason and proposes a solution to them. First, sometimes, when we are practically certain that neither of two alternatives is better than or as good as the other with respect to what matters in the choice between them, it nevertheless seems perfectly rational to continue to deliberate, and sometimes the result of that deliberation is a conclusion that one alternative is better, where there is no error in one’s previous judgment. Second, there (...)
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  6. On the Error of Treating Functions as Objects.Karen Green - 2016 - Analysis and Metaphysics 15:20–35.
    In his late fragment, ‘Sources of Knowledge of Mathematics and Natural Sciences’ Frege laments the tendency to confuse functions with objects and says, ‘It is here that the tendency of language by its use of the definite article to stamp as an object what is a function and hence a non-object, proves itself to be the source of inaccurate and misleading expressions and also of errors of thought. Probably most of the impurities that contaminate the logical source of knowledge (...)
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  7. Intuition and Modal Error.George Bealer - 2008 - In Quentin Smith (ed.), Epistemology: new essays. New York : Oxford University Press,: Oxford University Press.
    Modal intuitions are not only the primary source of modal knowledge but also the primary source of modal error. An explanation of how modal error arises — and, in particular, how erroneous modal intuitions arise — is an essential part of a comprehensive theory of knowledge and evidence. This chapter begins with a summary of certain preliminaries: the phenomenology of intuitions, their fallibility, the nature of concept-understanding and its relationship to the reliability of intuitions, and so forth. It (...)
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    THE PROBLEM OF HUMAN ERRORS (SEARCHING PARALLELS AMONG RENE DESCARTES's AND HADEWIJCH's CONCEPTION OF HUMAN ERRING.Inna Savynska - 2023 - the Days of Science of the Faculty of Philosophy – 2023 International Scientific Conference May 11-12, 2023 1:175-178.
    In the history of European philosophy and science, René Descartes is considered an author of a methodology of radical doubt, meditation, and the conception that explains the cause of human errors. But the course on internalization, knowledge of one's own Self, methodology of searching foundation of knowledge and conception of perfect reason have been formed already in the times of a Late Antiquity, particular by Augustine in his works “Soliloquies” and “Confession”, Boethius’s “The Consolation of Philosophy” and was continued in (...)
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  9. Temporal phenomenology: phenomenological illusion versus cognitive error.Kristie Miller, Alex Holcombe & Andrew J. Latham - 2020 - Synthese 197 (2):751-771.
    Temporal non-dynamists hold that there is no temporal passage, but concede that many of us judge that it seems as though time passes. Phenomenal Illusionists suppose that things do seem this way, even though things are not this way. They attempt to explain how it is that we are subject to a pervasive phenomenal illusion. More recently, Cognitive Error Theorists have argued that our experiences do not seem that way; rather, we are subject to an error that leads (...)
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  10. Two Informational Theories of Memory: a case from Memory-Conjunction Errors.Danilo Fraga Dantas - 2020 - Disputatio 12 (59):395-431.
    The causal and simulation theories are often presented as very distinct views about declarative memory, their major difference lying on the causal condition. The causal theory states that remembering involves an accurate representation causally connected to an earlier experience. In the simulation theory, remembering involves an accurate representation generated by a reliable memory process. I investigate how to construe detailed versions of these theories that correctly classify memory errors as misremembering or confabulation. Neither causalists nor simulationists have paid attention to (...)
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  11. ENHANCING THE MASTERY SKILLS OF PUPIL - JOURNALISTS IN BASIC NEWS WRITING THROUGH (CEB) CONTEXTUALIZED ERROR – BASED WORKTEXT.Alwin C. Garcia - 2023 - Get International Research Journal.
    This study aimed to enhance the mastery level of the campus journalists of Cuyo Central School, Division of Palawan in basic news writing through (CEB) Contextualized Error – Based Worktext. It used mixed methods, the quantitative approach was utilized to know the common errors committed by the participants of the study in writing news articles, their level of achievement and the testing of significant difference of their scores in pre-test and post – test. The challenges they met in utilizing (...)
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  12. A Comedy of Errors or, How I Learned to Stop Worrying and Love Sensibility‐Invariantism about ‘Funny’.Ryan Doerfler - 2012 - Pacific Philosophical Quarterly 93 (4):493-522.
    In this article, I argue that sensibility‐invariantism about ‘funny’ is defensible, not just as a descriptive hypothesis, but, as a normative position as well. What I aim to do is to make the realist commitments of the sensibility‐invariantist out to be much more tenable than one might initially think them to be. I do so by addressing the two major sources of discontent with sensibility‐invariantism: the observation that discourse about comedy exhibits significant divergence in judgment, and the fact that (...)
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  13. Is probabilistic evidence a source of knowledge?Ori Friedman & John Turri - 2015 - Cognitive Science 39 (5):1062-1080.
    We report a series of experiments examining whether people ascribe knowledge for true beliefs based on probabilistic evidence. Participants were less likely to ascribe knowledge for beliefs based on probabilistic evidence than for beliefs based on perceptual evidence or testimony providing causal information. Denial of knowledge for beliefs based on probabilistic evidence did not arise because participants viewed such beliefs as unjustified, nor because such beliefs leave open the possibility of error. These findings rule out traditional philosophical accounts for (...)
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  14. Exploring students' image concept of mathematical functions through error analysis.Melanie Gurat - 2018 - International Journal of Advanced Research and Publications 2 (9):33-46.
    Students do not necessarily use the definitions presented to them when determining examples or non-examples of given mathematical ideas. Instead, they utilize the concept image they carry with them as a result of experiences with such examples and nonexamples. Hence, teachers should try exploring students‟ images of various mathematical concepts in order to improve communication between students and teachers. This suggestion can be addressed through error analysis. This study therefore is a descriptive-qualitative type that looked into the errors committed (...)
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  15. ENHANCING THE MASTERY SKILLS OF PUPIL - JOURNALISTS IN BASIC NEWS WRITING THROUGH (CEB) CONTEXTUALIZED ERROR – BASED WORKTEXT.Alwin C. Garcia - 2023 - Get International Research Journal.
    This study aimed to enhance the mastery level of the campus journalists of Cuyo Central School, Division of Palawan in basic news writing through (CEB) Contextualized Error – Based Worktext. It used mixed methods, the quantitative approach was utilized to know the common errors committed by the participants of the study in writing news articles, their level of achievement and the testing of significant difference of their scores in pre-test and post – test. The challenges they met in utilizing (...)
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  16. Mishpat Ivri, Halakhah and Legal Philosophy: Agunah and the Theory of “Legal Sources".Bernard S. Jackson - 2001 - JSiJ.
    In this paper, I ask whether mishpat ivri (Jewish Law) is appropriately conceived as a “legal system”. I review Menachem Elon’s use of a “Sources” Theory of Law (based on Salmond) in his account of Mishpat Ivri; the status of religious law from the viewpoint of jurisprudence itself (Bentham, Austin and Kelsen); then the use of sources (and the approach to “dogmatic error”) by halakhic authorities in discussing the problems of the agunah (“chained wife”), which I suggest (...)
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  17. Willing Belief.Mark Schroeder - forthcoming - Brill.
    _ Source: _Page Count 22 In _Unbelievable Errors_, Bart Streumer offers resourceful arguments against each of non-reductive realism, reductive realism, and non-cognitivism, in order to motivate his version of the normative error theory, according to which normative predicates ascribe properties that do not exist. In this contribution, I argue that none of the steps of this master argument succeed, and that Streumer’s arguments leave puzzles about what it means to ascribe a property at all.
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  18. Methodological Issues Related to Radio Measurement and Ratings in Romania: Solutions and Perspectives.Rareș Obadă - 2018 - Argumentum. Journal of the Seminar of Discursive Logic, Argumentation Theory and Rhetoric 1 (16):94-119.
    The aim of this article is to address the issue of measuring radio audience from a methodological perspective. Although our approach is contextualized, the case study of radio audience measurement in Romania is relevant to a large number of EU countries, in which scholars and practitioners use Day-After-Recall technique. Considering the size of the radio advertising market, as well as the number of radio listeners (about 90% in EU), it is crucial for both radio broadcasters and advertisers to measure radio (...)
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  19. Stroud, Hegel, Heidegger: A Transcendental Argument.Kim Davies - 2018 - International Journal for the Study of Skepticism.
    _ Source: _Page Count 25 This is a pre-print. Please cite only the revised published version. This paper presents an original, ambitious, truth-directed transcendental argument for the existence of an ‘external world’. It begins with a double-headed starting-point: Stroud’s own remarks on the necessary conditions of language in general, and Hegel’s critique of the “fear of error.” The paper argues that the sceptical challenge requires a particular critical concept of thought as that which may diverge from reality, and that (...)
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  20. Scepticism by a Thousand Cuts.Martin Smith - 2016 - International Journal for the Study of Skepticism 6 (1):44-52.
    _ Source: _Page Count 9 Global sceptical arguments seek to undermine vast swathes of our putative knowledge by deploying hypotheses that posit massive deception or error. Local sceptical arguments seek to undermine just a small region of putative knowledge, using hypotheses that posit deception or error of a more mundane kind. Those epistemologists who have devised anti-sceptical strategies have tended to have global sceptical arguments firmly in their sights. I argue here that local sceptical arguments, while less dramatic, (...)
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  21. The uncoordinated teachers puzzle.Michael Cohen - forthcoming - Episteme:1-8.
    Williamson (2000) argues that the KK principle is inconsistent with knowledge of margin for error in cases of inexact perceptual observations. This paper argues, primarily by analogy to a different scenario, that Williamson’s argument is fallacious. Margin for error principles describe the agent’s knowledge as a result of an inexact perceptual event, not the agent’s knowledge state in general. Therefore, epistemic agents can use their knowledge of margin for error at most once after a perceptual event, but (...)
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  22. The Dutch Fates of Bacon’s Philosophy: Libertas Philosophandi, Cartesian Logic and Newtonianism.Andrea Strazzoni - 2012 - Annali Della Scuola Normale Superiore di Pisa – Classe di Lettere E Filosofia 4 (1):251-281.
    Bacon’s philosophy had a wide dissemination in Dutch Seventeenth Century context. This can be explained by the coeval diffusion of Cartesianism. Bacon’s project of a reformation of science was deemed by Heereboord and De Raey as the manifesto of a new philosophy. Along with Geulincx, moreover, De Raey borrowed Bacon’s arguments on the causes of error and on the replacement of Aristotelian natural history, aimed at integrating Descartes’s physics. Also in logic Bacon’s influence was noticeable, as the development of (...)
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  23. Skepticism about Other Minds.Anil Gomes - 2018 - In Diego E. Machuca & Baron Reed (eds.), Skepticism: From Antiquity to the Present. New York: Bloomsbury Academic.
    In this paper I distinguish two ways of raising a sceptical problem of others' minds: via a problem concerning the possibility of error or via a problem concerning sources of knowledge. I give some reason to think that the second problem raises a more interesting problem in accounting for our knowledge of others’ minds and consider proposed solutions to the problem.
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  24. The math is not the territory: navigating the free energy principle.Mel Andrews - 2021 - Biology and Philosophy 36 (3):1-19.
    Much has been written about the free energy principle (FEP), and much misunderstood. The principle has traditionally been put forth as a theory of brain function or biological self-organisation. Critiques of the framework have focused on its lack of empirical support and a failure to generate concrete, falsifiable predictions. I take both positive and negative evaluations of the FEP thus far to have been largely in error, and appeal to a robust literature on scientific modelling to rectify the situation. (...)
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  25. Can ANOVA measure causal strength?Robert Northcott - 2008 - Quarterly Review of Biology 83 (1):47-55.
    The statistical technique of analysis of variance is often used by biologists as a measure of causal factors’ relative strength or importance. I argue that it is a tool ill suited to this purpose, on several grounds. I suggest a superior alternative, and outline some implications. I finish with a diagnosis of the source of error – an unwitting inheritance of bad philosophy that now requires the remedy of better philosophy.
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  26. The Philosophy of Biomimicry.Henry Dicks - 2016 - Philosophy and Technology 29 (3):223-243.
    The philosophy of biomimicry, I argue, consists of four main areas of inquiry. The first, which has already been explored by Freya Mathews, concerns the “deep” question of what Nature ultimately is. The second, third, and fourth areas correspond to the three basic principles of biomimicry as laid out by Janine Benyus. “Nature as model” is the poetic principle of biomimicry, for it tells us how it is that things are to be “brought forth”. “Nature as measure” is the ethical (...)
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  27. Why compatibilist intuitions are not mistaken: A reply to Feltz and Millan.James Andow & Florian Cova - 2016 - Philosophical Psychology 29 (4):550-566.
    In the past decade, a number of empirical researchers have suggested that laypeople have compatibilist intuitions. In a recent paper, Feltz and Millan have challenged this conclusion by claiming that most laypeople are only compatibilists in appearance and are in fact willing to attribute free will to people no matter what. As evidence for this claim, they have shown that an important proportion of laypeople still attribute free will to agents in fatalistic universes. In this paper, we first argue that (...)
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  28. Can Artificial Entities Assert?Ori Freiman & Boaz Miller - 2018 - In Sanford C. Goldberg (ed.), The Oxford Handbook of Assertion. Oxford University Press. pp. 415-436.
    There is an existing debate regarding the view that technological instruments, devices, or machines can assert ‎or testify. A standard view in epistemology is that only humans can testify. However, the notion of quasi-‎testimony acknowledges that technological devices can assert or testify under some conditions, without ‎denying that humans and machines are not the same. Indeed, there are four relevant differences between ‎humans and instruments. First, unlike humans, machine assertion is not imaginative or playful. Second, ‎machine assertion is prescripted and (...)
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  29. Desire-Based Theories of Reasons and the Guise of the Good.Kael McCormack - 2023 - Ergo: An Open Access Journal of Philosophy 9 (47):1288-1321.
    I propose an account of desire that reconciles two apparently conflicting intuitions about practical agency. I do so by exploring a certain intuitive datum. The intuitive datum is that often when an agent desires P she will seem to immediately and conclusively know that there is a reason to bring P about. Desire-based theories of reasons seem uniquely placed to explain this intuitive datum. On this view, desires are the source of an agent’s practical reasons. A desire for P grounds (...)
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  30. Introspection and Belief: Failures of Introspective Belief Formation.Chiara Caporuscio - 2023 - Review of Philosophy and Psychology (1):165-184.
    Introspection has traditionally been defined as a privileged way of obtaining beliefs about one’s occurrent mental states, and the idea that it is psychologically and epistemically different from non-introspective belief formation processes has been widely defended. At the same time, philosophers and cognitive scientists alike have pointed out the unreliability of introspective reports in consciousness research. In this paper, I will argue that this dissonance in the literature can be explained by differentiating between infallible and informative introspective beliefs. I will (...)
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  31. Legal proof and statistical conjunctions.Lewis D. Ross - 2020 - Philosophical Studies 178 (6):2021-2041.
    A question, long discussed by legal scholars, has recently provoked a considerable amount of philosophical attention: ‘Is it ever appropriate to base a legal verdict on statistical evidence alone?’ Many philosophers who have considered this question reject legal reliance on bare statistics, even when the odds of error are extremely low. This paper develops a puzzle for the dominant theories concerning why we should eschew bare statistics. Namely, there seem to be compelling scenarios in which there are multiple (...) of incriminating statistical evidence. As we conjoin together different types of statistical evidence, it becomes increasingly incredible to suppose that a positive verdict would be impermissible. I suggest that none of the dominant views in the literature can easily accommodate such cases, and close by offering a diagnosis of my own. (shrink)
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  32. Warrant, Functions, History.Peter J. Graham - 2014 - In Abrol Fairweather & Owen Flanagan (eds.), Naturalizing Epistemic Virtue. New York: Cambridge University Press. pp. 15-35.
    Epistemic warrant consists in the normal functioning of the belief-forming process when the process has forming true beliefs reliably as an etiological function. Evolution by natural selection is the most familiar source of etiological functions. . What then of learning? What then of Swampman? Though functions require history, natural selection is not the only source. Self-repair and trial-and-error learning are both sources. Warrant requires history, but not necessarily that much.
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  33. Gratitude Is Only Fittingly Targeted Towards Agents.Marcus William Hunt - 2021 - Sophia (2):1-19.
    The paper argues that ‘All varieties of gratitude are only overall fitting when targeted towards agents,’ for instance that any variety of gratitude for the beautiful sunset is only overall fitting if a supernatural agent such as God exists. The first premise is that ‘Prepositional gratitude is overall fitting only when targeted towards agents.’ For this premise, intuitive judgments are offered. The second premise is that ‘Prepositional gratitude is the paradigmatic variety of gratitude.’ For this premise, an aspect of the (...)
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  34. Epistemic Closure in Folk Epistemology.James R. Beebe & Jake Monaghan - 2018 - In Tania Lombrozo, Joshua Knobe & Shaun Nichols (eds.), Oxford Studies in Experimental Philosophy, Volume Two. Oxford University Press. pp. 38-70.
    We report the results of four empirical studies designed to investigate the extent to which an epistemic closure principle for knowledge is reflected in folk epistemology. Previous work by Turri (2015a) suggested that our shared epistemic practices may only include a source-relative closure principle—one that applies to perceptual beliefs but not to inferential beliefs. We argue that the results of our studies provide reason for thinking that individuals are making a performance error when their knowledge attributions and denials conflict (...)
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  35. Unjustified untrue "beliefs": AI hallucinations and justification logics.Kristina Šekrst - forthcoming - In Kordula Świętorzecka, Filip Grgić & Anna Brozek (eds.), Logic, Knowledge, and Tradition. Essays in Honor of Srecko Kovac.
    In artificial intelligence (AI), responses generated by machine-learning models (most often large language models) may be unfactual information presented as a fact. For example, a chatbot might state that the Mona Lisa was painted in 1815. Such phenomenon is called AI hallucinations, seeking inspiration from human psychology, with a great difference of AI ones being connected to unjustified beliefs (that is, AI “beliefs”) rather than perceptual failures). -/- AI hallucinations may have their source in the data itself, that is, the (...)
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  36. How AI can AID bioethics.Walter Sinnott Armstrong & Joshua August Skorburg - forthcoming - Journal of Practical Ethics.
    This paper explores some ways in which artificial intelligence (AI) could be used to improve human moral judgments in bioethics by avoiding some of the most common sources of error in moral judgment, including ignorance, confusion, and bias. It surveys three existing proposals for building human morality into AI: Top-down, bottom-up, and hybrid approaches. Then it proposes a multi-step, hybrid method, using the example of kidney allocations for transplants as a test case. The paper concludes with brief remarks (...)
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  37. Inexact Knowledge 2.0.Sven Rosenkranz & Julien Dutant - 2020 - Inquiry: An Interdisciplinary Journal of Philosophy (8):1-19.
    Many of our sources of knowledge only afford us knowledge that is inexact. When trying to see how tall something is, or to hear how far away something is, or to remember how long something lasted, we may come to know some facts about the approximate size, distance or duration of the thing in question but we don’t come to know exactly what its size, distance or duration is. In some such situations we also have some pointed knowledge of (...)
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  38. Taxonomy for Humans or Computers? Cognitive Pragmatics for Big Data.Beckett Sterner & Nico M. Franz - 2017 - Biological Theory 12 (2):99-111.
    Criticism of big data has focused on showing that more is not necessarily better, in the sense that data may lose their value when taken out of context and aggregated together. The next step is to incorporate an awareness of pitfalls for aggregation into the design of data infrastructure and institutions. A common strategy minimizes aggregation errors by increasing the precision of our conventions for identifying and classifying data. As a counterpoint, we argue that there are pragmatic trade-offs between precision (...)
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  39. Elimination of Bias in Introspection: Methodological Advances, Refinements, and Recommendations.Radek Trnka & Vit Smelik - 2020 - New Ideas in Psychology 56.
    Building on past constructive criticism, the present study provides further methodological development focused on the elimination of bias that may occur during first-person observation. First, various sources of errors that may accompany introspection are distinguished based on previous critical literature. Four main errors are classified, namely attentional, attributional, conceptual, and expressional error. Furthermore, methodological recommendations for the possible elimination of these errors have been determined based on the analysis and focused excerpting of introspective scientific literature. The following groups (...)
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  40. Consensus collaboration enhances group and individual recall accuracy.Celia Harris, Amanda Barnier & John Sutton - 2012 - Quarterly Journal of Experimental Psychology 65 (1):v.
    We often remember in groups, yet research on collaborative recall finds “collaborative inhibition”: Recalling with others has costs compared to recalling alone. In related paradigms, remembering with others introduces errors into recall. We compared costs and benefits of two collaboration procedures—turn taking and consensus. First, 135 individuals learned a word list and recalled it alone (Recall 1). Then, 45 participants in three-member groups took turns to recall, 45 participants in three-member groups reached a consensus, and 45 participants recalled alone but (...)
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  41. Cohen, Spinoza, and the Nature of Pantheism.Yitzhak Melamed - 2018 - Jewish Studies Quarterly:171-180.
    The German text of Cohen’s Spinoza on State & Religion, Judaism & Christianity (Spinoza über Staat und Religion, Judentum und Christentum) first appeared in 1915 in the Jahrbuch für jüdische Geschichte und Literatur. Two years before, in the winter of 1913, Cohen taught a class and a seminar on Spinoza’s Theological-Political Treatise at the Hochschule für die Wissenschaft des Judentums. This was Cohen’s first semester at the Hochschule, after retiring from more than thirty years of teaching at the University of (...)
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  42. Augustine and an artificial soul.Jeffrey White - forthcoming - Embodied Intelligence 2023.
    Prior work proposes a view of development of purpose and source of meaning in life as a more or less temporally distal project ideal self-situation in terms of which intermediate situations are experienced and prospects evaluated. This work considers Augustine on ensoulment alongside current work into self as adapted routines to common social regularities of the sort that Augustine found deficient. How can we account for such diversity of self-reported value orientation in terms of common structural dynamics differently developed, embodied (...)
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  43. Frege on the Foundation of Geometry in Intuition.Jeremy Shipley - 2015 - Journal for the History of Analytical Philosophy 3 (6).
    I investigate the role of geometric intuition in Frege’s early mathematical works and the significance of his view of the role of intuition in geometry to properly understanding the aims of his logicist project. I critically evaluate the interpretations of Mark Wilson, Jamie Tappenden, and Michael Dummett. The final analysis that I provide clarifies the relationship of Frege’s restricted logicist project to dominant trends in German mathematical research, in particular to Weierstrassian arithmetization and to the Riemannian conceptual/geometrical tradition at Göttingen. (...)
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  44. Community-Based Collaborative Archaeology.Alison Wylie - 2014 - In Nancy Cartwright & Eleonora Montuschi (eds.), Philosophy of Social Science: A New Introduction. Oxford, United Kingdom: Oxford University Press. pp. 68-82.
    I focus here on archaeologists who work with Indigenous descendant communities in North America and address two key questions raised by their practice about the advantages of situated inquiry. First, what exactly are the benefits of collaborative practice—what does it contribute, in this case to archaeology? And, second, what is the philosophical rationale for collaborative practice? Why is it that, counter-intuitively for many, collaborative practice has the capacity to improve archaeology in its own terms and to provoke critical scrutiny of (...)
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  45. On Operator N and Wittgenstein’s Logical Philosophy.James R. Connelly - 2017 - Journal for the History of Analytical Philosophy 5 (4).
    In this paper, I provide a new reading of Wittgenstein’s N operator, and of its significance within his early logical philosophy. I thereby aim to resolve a longstanding scholarly controversy concerning the expressive completeness of N. Within the debate between Fogelin and Geach in particular, an apparent dilemma emerged to the effect that we must either concede Fogelin’s claim that N is expressively incomplete, or reject certain fundamental tenets within Wittgenstein’s logical philosophy. Despite their various points of disagreement, however, Fogelin (...)
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  46. Experience and Introspection.Fabian Dorsch - 2013 - In Fiona Macpherson & Dimitris Platchias (eds.), Hallucination: Philosophy and Psychology. Cambridge, MA: MIT Press. pp. 175-220.
    One central fact about hallucinations is that they may be subjectively indistinguishable from perceptions. Indeed, it has been argued that the hallucinatory experiences concerned cannot— and need not—be characterized in any more positive general terms. This epistemic conception of hallucinations has been advocated as the best choice for proponents of experiential (or “naive realist”) disjunctivism—the view that perceptions and hallucinations differ essentially in their introspectible subjective characters. In this chapter, I aim to formulate and defend an intentional alternative to experiential (...)
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  47. Predicting Students' end-of-term Performances using ML Techniques and Environmental Data.Ahmed Mohammed Husien, Osama Hussam Eljamala, Waleed Bahgat Alwadia & Samy S. Abu-Naser - 2023 - International Journal of Academic Information Systems Research (IJAISR) 7 (10):19-25.
    Abstract: This study introduces a machine learning-based model for predicting student performance using a comprehensive dataset derived from educational sources, encompassing 15 key features and comprising 62,631 student samples. Our five-layer neural network demonstrated remarkable performance, achieving an accuracy of 89.14% and an average error of 0.000715, underscoring its effectiveness in predicting student outcomes. Crucially, this research identifies pivotal determinants of student success, including factors such as socio-economic background, prior academic history, study habits, and attendance patterns, shedding light (...)
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  48. Predictive Modeling of Breast Cancer Diagnosis Using Neural Networks:A Kaggle Dataset Analysis.Anas Bachir Abu Sultan & Samy S. Abu-Naser - 2023 - International Journal of Academic Engineering Research (IJAER) 7 (9):1-9.
    Breast cancer remains a significant health concern worldwide, necessitating the development of effective diagnostic tools. In this study, we employ a neural network-based approach to analyze the Wisconsin Breast Cancer dataset, sourced from Kaggle, comprising 570 samples and 30 features. Our proposed model features six layers (1 input, 1 hidden, 1 output), and through rigorous training and validation, we achieve a remarkable accuracy rate of 99.57% and an average error of 0.000170 as shown in the image below. Furthermore, our (...)
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  49. Why human "altered nuclear transfer" is unethical: a holistic systems view.W. Malcolm Byrnes - 2005 - The National Catholic Bioethics Quarterly 5 (2):271-279.
    A remarkable event occurred at the December 3, 2004, meeting of the U. S. President’s Council on Bioethics. Council member William Hurlbut, a physician and Consulting Professor in the Program in Human Biology at Stanford University, formally unveiled a proposal that he claimed would solve the ethical problems surrounding the extraction of stem cells from human embryos. The proposal would involve the creation of genetically defective embryos that “never rise to the level of integrated organismal existence essential to be designated (...)
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  50. Varieties of Artificial Moral Agency and the New Control Problem.Marcus Arvan - 2022 - Humana.Mente - Journal of Philosophical Studies 15 (42):225-256.
    This paper presents a new trilemma with respect to resolving the control and alignment problems in machine ethics. Section 1 outlines three possible types of artificial moral agents (AMAs): (1) 'Inhuman AMAs' programmed to learn or execute moral rules or principles without understanding them in anything like the way that we do; (2) 'Better-Human AMAs' programmed to learn, execute, and understand moral rules or principles somewhat like we do, but correcting for various sources of human moral error; and (...)
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