Results for 'Margins for Error'

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  1. Margin for error and the transparency of knowledge.Jérôme Dokic & Paul Égré - 2009 - Synthese 166 (1):1-20.
    In chapter 5 of Knowledge and its Limits, T. Williamson formulates an argument against the principle (KK) of epistemic transparency, or luminosity of knowledge, namely “that if one knows something, then one knows that one knows it”. Williamson’s argument proceeds by reductio: from the description of a situation of approximate knowledge, he shows that a contradiction can be derived on the basis of principle (KK) and additional epistemic principles that he claims are better grounded. One of them is a reflective (...)
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  2. Permissivism, Margin-for-Error, and Dominance.John Hawthorne & Yoaav Isaacs - 2020 - Philosophical Studies 178 (2):515-532.
    Ginger Schultheis offers a novel and interesting argument against epistemic permissivism. While we think that her argument is ultimately uncompelling, we think its faults are instructive. We explore the relationship between epistemic permissivism, Margin-for-Error principles, and an epistemological version of Dominance reasoning.
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  3. Margin for error semantics and signal perception.David Spector - 2013 - Synthese 190 (15):3247-3263.
    A joint modelling of objective worlds and subjective perceptions within two-dimensional semantics eliminates the margin for error principle and solves the epistemic sorites paradox. Two objective knowledge modalities can be defined in two-dimensional frames accounting for subjective perceptions: “necessary knowledge” (NK) and “possible knowledge” (PK), the latter being better suited to the interpretation of knowledge utterances. Two-dimensional semantics can in some cases be reduced to one-dimensional ones, by defining accessibility relations between objective worlds that reflect subjective perceptions: NK and (...)
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  4.  34
    Margins for error in context.Denis Bonnay & Paul Egré - 2008 - In G. Carpintero & M. Koelbel (eds.), Relative Truth. Oxford University Press. pp. 103--107.
  5. Reliability, margin for error, and self-knowledge.Paul Egré - 2006 - In Vincent Hendricks (ed.), New Waves in Epistemology. Palgrave-Macmillan. pp. 215--250.
    Forthcoming in D.H. Pritchard & V. Hendricks, New Waves in Epistemology,.
     
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  6.  87
    Margins for error: A reply.Timothy Williamson - 2000 - Philosophical Quarterly 50 (198):76-81.
    I address Peter Mott's 'Margins for Error and the Sorites Paradox' , pp. 494–503). Mott criticizes my account of inexact knowledge, on which it satisfies margin for error principles of the form 'If one knows in a given case, one avoids false belief in sufficiently similar cases'. Mott's arguments are shown to be fallacious because they ignore the fact that our knowledge of inexact knowledge is itself inexact. In the examples discussed, the first-level inexact knowledge is perceptual. (...)
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  7.  82
    Margins for error and the sorites paradox.Peter Mott - 1998 - Philosophical Quarterly 48 (193):494-504.
  8. Margins for error and sensitivity: What Nozick might have said. [REVIEW]Kelly Becker - 2009 - Acta Analytica 24 (1):17-31.
    Timothy Williamson has provided damaging counterexamples to Robert Nozick’s sensitivity principle. The examples are based on Williamson’s anti-luminosity arguments, and they show how knowledge requires a margin for error that appears to be incompatible with sensitivity. I explain how Nozick can rescue sensitivity from Williamson’s counterexamples by appeal to a specific conception of the methods by which an agent forms a belief. I also defend the proposed conception of methods against Williamson’s criticisms.
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  9. Inexact Knowledge, Margin for Error and Positive Introspection.Julien Dutant - 2007 - Proceedings of Tark XI.
    Williamson (2000a) has argued that posi- tive introspection is incompatible with in- exact knowledge. His argument relies on a margin-for-error requirement for inexact knowledge based on a intuitive safety prin- ciple for knowledge, but leads to the counter- intuitive conclusion that no possible creature could have both inexact knowledge and posi- tive introspection. Following Halpern (2004) I put forward an alternative margin-for-error requirement that preserves the safety require- ment while blocking Williamson’s argument. I argue that the infallibilist conception (...)
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  10. Margins for Error in Context.Denis Bonnay andPaul Egre - 2008 - In G. Carpintero & M. Koelbel (eds.), Relative Truth. Oxford University Press.
  11. Vagueness and Margin for error principles.Mario Gómez-Torrente - 2002 - Philosophy and Phenomenological Research 64 (1):107-125.
    Timothy Williamson’s potentially most important contribution to epistemicism about vagueness lies in his arguments for the basic epistemicist claim that the alleged cut-off points of vague predicates are not knowable. His arguments for this are based on so-called ‘margin for error principles’. This paper argues that these principles fail to provide a good argument for the basic claim. Williamson has offered at least two kinds of margin for error principles applicable to vague predicates. A certain fallacy of equivocation (...)
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  12.  5
    Margins for Error: A Reply to Mott.Timothy Williamson - 2000 - Philosophical Quarterly 50 (198):76-81.
  13. Knowledge Beyond the Margin for Error.R. A. Sorensen - 2007 - Mind 116 (463):717-722.
    Epistemicists say there is a last positive instance in a sorites sequence-we just cannot know which is the last. Timothy Williamson explains that knowledge requires a margin for error and this ensures that the last heap will not be knowable as a heap. However, there is a class of disjunctive predicates for which knowledge at the thresholds is possible. They generate sorites paradoxes that cannot be diagnosed with the margin for error principle.
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  14. Knowledge within the Margin for Error.Timothy Williamson - 2007 - Mind 116 (463):723 - 726.
    Roy Sorensen's criticism of my use of margin for error principles to explain ignorance in borderline cases fails because it misidentifies the relevant margin for error principles. His alternative explanation in terms of truth-maker gaps is briefly criticized.
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  15. The KK-Principle, Margins for Error, and Safety.Murali Ramachandran - 2012 - Erkenntnis 76 (1):121-136.
    This paper considers, and rejects, three strategies aimed at showing that the KK-principle fails even in most favourable circumstances (all emerging from Williamson’s Knowledge and its Limits ). The case against the final strategy provides positive grounds for thinking that the principle should hold good in such situations.
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  16.  84
    Vagueness, ignorance, and margins for error.Kenton Machina & Harry Deutsch - 2002 - Acta Analytica 17 (2):19-45.
    We argue that the epistemic theory of vagueness cannot adequately justify its key tenet-that vague predicates have precisely bounded extensions, of which we are necessarily ignorant. Nor can the theory adequately account for our ignorance of the truth values of borderline cases. Furthermore, we argue that Williamson’s promising attempt to explicate our understanding of vague language on the model of a certain sort of “inexact knowledge” is at best incomplete, since certain forms of vagueness do not fit Williamson’s model, and (...)
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  17. An anti-epistemicist consequence of Margin for error semantics for knowledge.Delia Graff Fara - 2002 - Philosophy and Phenomenological Research 64 (1):127-142.
    Let us say that the proposition that p is transparent just in case it is known that p, and it is known that it is known that p, and it is known that it is known that it is known that p, and so on, for any number of iterations of the knowledge operator ‘it is known that’. If there are transparent propositions at all, then the claim that any man with zero hairs is bald seems like a good candidate. (...)
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  18. Vagueness, ignorance, and Margin for error[REVIEW]R. M. Sainsbury - 1995 - British Journal for the Philosophy of Science 46 (4):589-601.
  19. Reply to Machina and Deutsch on vagueness, ignorance, and margins for error.Timothy Williamson - 2002 - Acta Analytica 17 (1):47-61.
    In their paper “Vagueness, Ignorance, and Margins for Error” Kenton Machina and Harry Deutsch criticize the epistemic theory of vagueness. This paper answers their objections. The main issues discussed are: the relation between meaning and use; the principle of bivalence; the ontology of vaguely specified classes; the proper form of margin for error principles; iterations of epistemic operators and semantic compositionality; the relation or lack of it between quantum mechanics and theories of vagueness.
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  20. Review: Vagueness, Ignorance, and Margin for Error[REVIEW]R. M. Sainsbury - 1995 - British Journal for the Philosophy of Science 46 (4):589 - 601.
  21. Part II. A walk around the emerging new world. Russia in an emerging world / excerpt: from "Russia and the solecism of power" by David Holloway ; China in an emerging world.Constraints Excerpt: From "China'S. Demographic Prospects Toopportunities, Excerpt: From "China'S. Rise in Artificial Intelligence: Ingredientsand Economic Implications" by Kai-Fu Lee, Matt Sheehan, Latin America in an Emerging Worldsidebar: Governance Lessons From the Emerging New World: India, Excerpt: From "Latin America: Opportunities, Challenges for the Governance of A. Fragile Continent" by Ernesto Silva, Excerpt: From "Digital Transformation in Central America: Marginalization or Empowerment?" by Richard Aitkenhead, Benjamin Sywulka, the Middle East in an Emerging World Excerpt: From "the Islamic Republic of Iran in an Age of Global Transitions: Challenges for A. Theocratic Iran" by Abbas Milani, Roya Pakzad, Europe in an Emerging World Sidebar: Governance Lessons From the Emerging New World: Japan, Excerpt: From "Europe in the Global Race for Technological Leadership" by Jens Suedekum & Africa in an Emerging World Sidebar: Governance Lessons From the Emerging New Wo Bangladesh - 2020 - In George P. Shultz (ed.), A hinge of history: governance in an emerging new world. Stanford, California: Hoover Institution Press, Stanford University.
     
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  22. Higher order ignorance inside the margins.Sam Carter - 2019 - Philosophical Studies 176 (7):1789-1806.
    According to the KK-principle, knowledge iterates freely. It has been argued, notably in Greco, that accounts of knowledge which involve essential appeal to normality are particularly conducive to defence of the KK-principle. The present article evaluates the prospects for employing normality in this role. First, it is argued that the defence of the KK-principle depends upon an implausible assumption about the logical principles governing iterated normality claims. Once this assumption is dropped, counter-instances to the principle can be expected to arise. (...)
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  23. Updating Syllabi, Reimagining Assignments, and Embracing Error: Strategies for Retaining Marginalized Students in Philosophy.Monique Whitaker - 2015 - American Association of Philosophy Teachers Studies in Pedagogy 1:3–16.
    One of the significant problems for philosophy’s development into a more diverse discipline is the familiar sharp reduction in the proportion of women and students of color after initial, introductory-level courses. This contributes to a lack in the breadth of perspective and experience that both upper-level students and faculty bring to philosophy, which in turn undermines the strength of the discipline as a whole. Much of the transformation of philosophy must necessarily happen at the departmental, and even university, level; but (...)
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  24. Errors about errors: Virtue theory and trait attribution.Gopal Sreenivasan - 2002 - Mind 111 (441):47-68.
    This paper examines the implications of certain social psychological experiments for moral theory—specifically, for virtue theory. Gilbert Harman and John Doris have recently argued that the empirical evidence offered by ‘situationism’ demonstrates that there is no such thing as a character trait. I dispute this conclusion. My discussion focuses on the proper interpretation of the experimental data—the data themselves I grant for the sake of argument. I develop three criticisms of the anti-trait position. Of these, the central criticism concerns three (...)
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  25. Williamson on inexact knowledge.Anna Mahtani - 2008 - Philosophical Studies 139 (2):171 - 180.
    Timothy Williamson claims that margin for error principles govern all cases of inexact knowledge. I show that this claim is unfounded: there are cases of inexact knowledge where Williamson’s argument for margin for error principles does not go through. The problematic cases are those where the value of the relevant parameter is fixed across close cases. I explore and reject two responses to my objection, before concluding that Williamson’s account of inexact knowledge is not compelling.
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  26. Indicative conditionals without iterative epistemology.Ben Holguín - 2019 - Noûs 55 (3):560-580.
    This paper argues that two widely accepted principles about the indicative conditional jointly presuppose the falsity of one of the most prominent arguments against epistemological iteration principles. The first principle about the indicative conditional, which has close ties both to the Ramsey test and the “or‐to‐if” inference, says that knowing a material conditional suffices for knowing the corresponding indicative. The second principle says that conditional contradictions cannot be true when their antecedents are epistemically possible. Taken together, these principles entail that (...)
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  27. Two problems for an epistemicist view of vagueness.Mario Gomez-Torrente - 1997 - Philosophical Issues 8:237-245.
    This paper presents some difficulties for Timothy Williamson's epistemicist view of vagueness and for an argument he gives in its defense. First, I claim that the argument, which uses the notion of an "omniscient speaker", is question-begging. Next, I argue that some presumably true scientific hypotheses, which postulate certain relations between everyday vague predicates and scientific predicates, make the central theses of epistemicism highly implausible. Finally, I show that the "margin for error principles" used by Williamson to explain away (...)
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  28. 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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  29. Surprise, surprise: KK is innocent.Julien Murzi, Leonie Eichhorn & Philipp Mayr - 2021 - Thought: A Journal of Philosophy 10 (1):4-18.
    The Surprise Exam Paradox is well-known: a teacher announces that there will be a surprise exam the following week; the students argue by an intuitively sound reasoning that this is impossible; and yet they can be surprised by the teacher. We suggest that a solution can be found scattered in the literature, in part anticipated by Wright and Sudbury, informally developed by Sorensen, and more recently discussed, and dismissed, by Williamson. In a nutshell, the solution consists in realising that the (...)
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  30.  12
    Medical necessity and consent for intimate procedures.Brian D. Earp & Lori Bruce - 2023 - Journal of Medical Ethics 49 (9):591-593.
    This issue considers the ethics of a healthcare provider intervening into a patient’s genitalia, whether by means of cutting or surgery or by ‘mere’ touching/examination. Authors argue that the permissibility of such actions in the absence of a relevant medical emergency does not primarily turn on third-party judgments of expected levels of physical harm versus benefit, or on related notions such as extensiveness or invasiveness; rather, it turns on the patient’s own consent. To bolster this argument, attention is drawn to (...)
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  31. Margins and Errors.Brian Weatherson - 2013 - Inquiry: An Interdisciplinary Journal of Philosophy 56 (1):63-76.
    Recently, Timothy Williamson has argued that considerations about margins of errors can generate a new class of cases where agents have justified true beliefs without knowledge. I think this is a great argument, and it has a number of interesting philosophical conclusions. In this note I’m going to go over the assumptions of Williamson’s argument. I’m going to argue that the assumptions which generate the justification without knowledge are true. I’m then going to go over some of the recent (...)
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  32.  5
    Towards an Ethics of Community: Negotiations of Difference in a Pluralist Society.James Olthuis & Canadian Corporation for Studies in Religion (eds.) - 2006 - Wilfrid Laurier Press.
    How do we deal with difference personally, interpersonally, nationally? Can we weave a cohesive social fabric in a religiously plural society without suppressing differences? This collection of significant essays suggests that to truly honour differences in matters of faith and religion we must publicly exercise and celebrate them. The secular/sacred, public/private divisions long considered sacred in the West need to be dismantled if Canada (or any nation state) is to develop a genuine mosaic that embraces fundamental differences instead of a (...)
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  33.  19
    Margin of Error: The Ethics of Mistakes in the Practice of Medicine.Edmund D. Pellegrino, Susan B. Rubin & Laurie Zoloth - 2001 - Hastings Center Report 31 (4):48.
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  34.  6
    Summary Strategies for Literary Texts in English.Lavdosh Malaj - 2020 - Studies in Logic, Grammar and Rhetoric 65 (1):7-20.
    One of the problems when students go to university is that they are faced with insufficient skills (reading, summarizing and writing). These skills are not just an option for students – they are a necessity. One of these skills is text summarizing. Summarizing strategies may be called the gist of the literary text. Different summarization strategies may be required for different text types and lengths. The ability to summarize well means your reading comprehension and writing skill should be excellent. Summarization (...)
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  35. From Falsehood to Truth, and From Truth to Error[REVIEW]Alex Madva - 2023 - Analysis 83 (2):405-416.
    Critical notice of Puddifoot, Katherine. 2021. How Stereotypes Deceive Us. NY: OUP.--------- -/- Kathy Puddifoot makes a compelling and enlightening case for a striking pair of claims: 1) false stereotypes sometimes steer us to the truth, while 2) true stereotypes often lead us into error. This is a wonderful book, a seamless integration of epistemology with ethics, of philosophy with social science, and of “mainstream” or “Western analytic” approaches with marginalized and underappreciated contributions from critical social traditions, especially black (...)
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  36. Practical Knowledge without Luminosity.Bob Beddor & Carlotta Pavese - 2021 - Mind 131 (523):917-934.
    According to a rich tradition in philosophy of action, intentional action requires practical knowledge: someone who acts intentionally knows what they are doing while they are doing it. Piñeros Glasscock argues that an anti-luminosity argument, of the sort developed in Williamson, can be readily adapted to provide a reductio of an epistemic condition on intentional action. This paper undertakes a rescue mission on behalf of an epistemic condition on intentional action. We formulate and defend a version of an epistemic condition (...)
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  37.  7
    Law, Justice and the State: Nordic Perspectives : Proceedings of the 16th World Congress of the International Association for Philosophy of Law and Social Philosophy (IVR), Reykjavík, 26 May-2 June, 1993.Mikael M. International Association for Philosophy of Law and Social Philosophy, Karlsson & Ólafur Páll Jónsson - 1995 - Franz Steiner Verlag Wiesbaden.
    Aus dem Inhalt: Views from the North: Hans Petter Graver: Law, Justice and the State: Nordic Perspectives u Jacob Dahl Rendtorff: The Danish Welfare State: Philosophical Ideals and Systemic Reality u Sigri!Dur *orgeirsdottir: Feminist Ethics and Feminist Politics u Kuellike Lengi: The Situation of Human Rights in Estonia u Einar Palsson: Pythagoras and Early Icelandic Law u Law, Discourse and Rationality: Mats Flodin: Internal and External Rationality of Legal Systems u Logi Gunnarsson: A Discourse About Discourse u Hjordi!s Hakonardottir: Legal (...)
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  38.  3
    Computing marginals for arbitrary subsets from marginal representation in Markov trees.Hong Xu - 1995 - Artificial Intelligence 74 (1):177-189.
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  39. The 'Now What' Problem for error theory.Matt Lutz - 2014 - Philosophical Studies 171 (2):351-371.
    Error theorists hold that, although our first-order moral thought and discourse commits us to the existence of moral truths, there are no such truths. Holding this position in metaethics puts the error theorist in an uncomfortable position regarding first-order morality. When it comes to our pre-theoretic moral commitments, what should the error theorist think? What should she say? What should she do? I call this the ‘Now What’ Problem for error theory. This paper suggests a framework (...)
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  40.  12
    Correction for errors in microstrain values from X-ray diffraction line profiles.H. De Keijser & E. J. Mittemeijer - 1977 - Philosophical Magazine 36 (5):1261-1264.
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  41.  7
    Stability margin for linear systems with fuzzy parametric uncertainty.Petr Hušek - 2008 - In Tu-Bao Ho & Zhi-Hua Zhou (eds.), Pricai 2008: Trends in Artificial Intelligence. Springer. pp. 708--717.
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  42. Fragile Knowledge.Simon Goldstein - 2022 - Mind 131 (522):487-515.
    This paper explores the principle that knowledge is fragile, in that whenever S knows that S doesn’t know that S knows that p, S thereby fails to know p. Fragility is motivated by the infelicity of dubious assertions, utterances which assert p while acknowledging higher-order ignorance whether p. Fragility is interestingly weaker than KK, the principle that if S knows p, then S knows that S knows p. Existing theories of knowledge which deny KK by accepting a Margin for (...) principle can be conservatively extended with Fragility. (shrink)
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  43. Are We Luminous?Amia Srinivasan - 2013 - Philosophy and Phenomenological Research 90 (2):294-319.
    Since its appearance over a decade ago, Timothy Williamson's anti-luminosity argument has come under sustained attack. Defenders of the luminous overwhelmingly object to the argument's use of a certain margin-for-error premise. Williamson himself claims that the premise follows easily from a safety condition on knowledge together with his description of the thought experiment. But luminists argue that this is not so: the margin-for-error premise either requires an implausible interpretation of the safety requirement on knowledge, or it requires other (...)
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  44.  7
    Developing a feeling for error: Practices of monitoring and modelling air pollution data.Emma Garnett - 2016 - Big Data and Society 3 (2).
    This paper is based on ethnographic research of data practices in a public health project called Weather Health and Air Pollution. I examine two different kinds of practices that make air pollution data, focusing on how they relate to particular modes of sensing and articulating air pollution. I begin by describing the interstitial spaces involved in making measurements of air pollution at monitoring sites and in the running of a computer simulation. Specifically, I attend to a shared dimension of these (...)
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  45. Inexact knowledge.Timothy Williamson - 1992 - Mind 101 (402):217-242.
    Most of our knowledge is inexact, and known by us to be so. An example of such known inexactness will be described in some detail. The description seems to entail a contradiction. However, the paradoxical reasoning rests on an assumption. It will be suggested that the description is correct and this assumption false. Its failure will be explained by means of a picture of inexact knowledge in which the notion of a margin for error is central. This picture suggests (...)
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  46. The Qualitative Thesis.David Boylan & Ginger Schultheis - 2022 - Journal of Philosophy 119 (4):196-229.
    The Qualitative Thesis says that if you leave open P, then you are sure of if P, then Q just in case you are sure of the corresponding material conditional. We argue the Qualitative Thesis provides compelling reasons to accept a thesis that we call Conditional Locality, which says, roughly, the interpretation of an indicative conditional depends, in part, on the conditional’s local embedding environment. In the first part of the paper, we present an argument—due to Ben Holguín—showing that, without (...)
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  47. Luminosity and vagueness.Elia Zardini - 2012 - Dialectica 66 (3):375-410.
    The paper discusses some ways in which vagueness and its phenomena may be thought to impose certain limits on our knowledge and, more specifically, may be thought to bear on the traditional philosophical idea that certain domains of facts are luminous, i.e., roughly, fully open to our view. The discussion focuses on a very influential argument to the effect that almost no such interesting domains exist. Many commentators have felt that the vagueness unavoidably inherent in the description of the facts (...)
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  48. 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 how (...)
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  49. Establishment of Dynamic Evolving Neural-Fuzzy Inference System Model for Natural Air Temperature Prediction.Suraj Kumar Bhagat, Tiyasha Tiyasha, Zainab Al-Khafaji, Patrick Laux, Ahmed A. Ewees, Tarik A. Rashid, Sinan Salih, Roland Yonaba, Ufuk Beyaztas & Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬ - 2022 - Complexity 2022:1-17.
    Air temperature prediction can play a significant role in studies related to climate change, radiation and heat flux estimation, and weather forecasting. This study applied and compared the outcomes of three advanced fuzzy inference models, i.e., dynamic evolving neural-fuzzy inference system, hybrid neural-fuzzy inference system, and adaptive neurofuzzy inference system for AT prediction. Modelling was done for three stations in North Dakota, USA, i.e., Robinson, Ada, and Hillsboro. The results reveal that FIS type models are well suited when handling highly (...)
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  50. Inexact Knowledge with Introspection.Denis Bonnay & Paul Égré - 2009 - Journal of Philosophical Logic 38 (2):179-227.
    This paper supersedes an ealier version, entitled "A Non-Standard Semantics for Inexact Knowledge with Introspection", which appeared in the Proceedings of "Rationality and Knowledge". The definition of token semantics, in particular, has been modified, both for the single- and the multi-agent case.
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