Results for 'machine assertion'

999 found
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  1. 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 (...) is prescripted and context restricted. As such, computers currently cannot easily switch ‎contexts or make meaningful relevant assertions in contexts for which they were not programmed. Third, ‎while both humans and computers make errors, they do so in different ways. Computers are very sensitive to ‎small errors in input, which may cause them to make big errors in output. Moreover, automatic error control ‎is based on finding irregularities in data without trying to establish whether they make sense. Fourth, ‎testimony is produced by a human with moral worth, while quasi-testimony is not. Ultimately, the notion of ‎quasi-testimony can serve as a bridge between different philosophical fields that deal with instruments and ‎testimony as sources of knowledge, allowing them to converse and agree on a shared description of reality, ‎while maintaining their distinct conceptions and ontological commitments about knowledge, humans, and ‎nonhumans.‎. (shrink)
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  2. Egalitarian Machine Learning.Clinton Castro, David O’Brien & Ben Schwan - 2023 - Res Publica 29 (2):237–264.
    Prediction-based decisions, which are often made by utilizing the tools of machine learning, influence nearly all facets of modern life. Ethical concerns about this widespread practice have given rise to the field of fair machine learning and a number of fairness measures, mathematically precise definitions of fairness that purport to determine whether a given prediction-based decision system is fair. Following Reuben Binns (2017), we take ‘fairness’ in this context to be a placeholder for a variety of normative egalitarian (...)
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  3.  53
    Rethinking Human and Machine Intelligence through Determinism.Jae Jeong Lee - manuscript
    This paper proposes a metaphysical framework for distinguishing between human and machine intelligence. It posits two identical deterministic worlds -- one comprising a human agent and the other a machine agent. These agents exhibit different information processing mechanisms despite their apparent sameness in a causal sense. Providing a conceptual modeling of their difference, this paper resolves what it calls “the vantage point problem” – namely, how to justify an omniscient perspective through which a determinist asserts determinism from within (...)
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  4.  97
    Rethinking Human and Machine Intelligence through Kant’s Incongruent Counterparts (3rd edition).Jae Jeong Lee - manuscript
    This paper proposes a metaphysical framework for distinguishing between human and machine intelligence. By drawing an analogy from Kant’s incongruent counterparts, it posits two identical deterministic worlds -- one comprising a human agent and the other comprising a machine agent. These agents exhibit different types of information processing mechanisms despite their apparent sameness in a causal sense. By postulating the distinctiveness of human over machine intelligence, this paper resolves what it refers to as “the vantage point problem” (...)
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  5.  49
    Rethinking Human and Machine Intelligence under Determinism (4th edition).Jae Jeong Lee - manuscript
    This paper proposes a metaphysical framework for distinguishing between human and machine intelligence. Specifically, it posits two identical deterministic worlds -- one comprising a human agent and the other comprising a machine agent. These agents exhibit different types of information processing mechanisms despite their apparent sameness in a causal sense. By postulating the distinctiveness of human over machine intelligence, this paper resolves what it refers to as “the vantage point problem” – namely, how to legitimize a determinist’s (...)
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  6. An analysis of Kafka’s Penal Colony and Duchamp’s The Large Glass Through the Concepts of Abstract- Machines and Energeia.Atilla Akalın - 2017 - Medeniyet Art, IMU Art, Design and Architecture Faculty Journal, 3 (1):29-44.
    This study aims to grasp the two distinct artworks one is from the literary field: Penal Colony, written by F. Kafka and the other one is from painting: The Large Glass, designed by M. Duchamp. This text tries to unravel the similarities betwe- en these artworks in terms of two main significations around “The Officer” from Penal Colony and “The Bachelors” from The Large Glass. Because of their vital role on the re-production of status-quo, this text asserts that there is (...)
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  7. On the impossibility of using analogue machines to calculate non-computable functions.Robin O. Gandy - manuscript - Translated by Aran Nayebi.
    A number of examples have been given of physical systems (both classical and quantum mechanical) which when provided with a (continuously variable) computable input will give a non-computable output. It has been suggested that these systems might allow one to design analogue machines which would calculate the values of some number-theoretic non-computable function. Analysis of the examples show that the suggestion is wrong. In Section 4 I claim that given a reasonable definition of analogue machine it will always be (...)
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  8. The nonhuman condition: Radical democracy through new materialist lenses.Hans Asenbaum, Amanda Machin, Jean-Paul Gagnon, Diana Leong, Melissa Orlie & James Louis Smith - 2023 - Contemporary Political Theory (Online first):584-615.
    Radical democratic thinking is becoming intrigued by the material situatedness of its political agents and by the role of nonhuman participants in political interaction. At stake here is the displacement of narrow anthropocentrism that currently guides democratic theory and practice, and its repositioning into what we call ‘the nonhuman condition’. This Critical Exchange explores the nonhuman condition. It asks: What are the implications of decentering the human subject via a new materialist reading of radical democracy? Does this reading dilute political (...)
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  9. Artificial Speech and Its Authors.Philip J. Nickel - 2013 - Minds and Machines 23 (4):489-502.
    Some of the systems used in natural language generation (NLG), a branch of applied computational linguistics, have the capacity to create or assemble somewhat original messages adapted to new contexts. In this paper, taking Bernard Williams’ account of assertion by machines as a starting point, I argue that NLG systems meet the criteria for being speech actants to a substantial degree. They are capable of authoring original messages, and can even simulate illocutionary force and speaker meaning. Background intelligence embedded (...)
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  10. Ontology-based fusion of sensor data and natural language.Erik Thomsen & Barry Smith - 2018 - Applied ontology 13 (4):295-333.
    We describe a prototype ontology-driven information system (ODIS) that exploits what we call Portion of Reality (POR) representations. The system takes both sensor data and natural language text as inputs and composes on this basis logically structured POR assertions. The goal of our prototype is to represent both natural language and sensor data within a single framework that is able to support both axiomatic reasoning and computation. In addition, the framework should be capable of discovering and representing new kinds of (...)
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  11. Chatting with Chat(GPT-4): Quid est Understanding?Elan Moritz - manuscript
    What is Understanding? This is the first of a series of Chats with OpenAI’s ChatGPT (Chat). The main goal is to obtain Chat’s response to a series of questions about the concept of ’understand- ing’. The approach is a conversational approach where the author (labeled as user) asks (prompts) Chat, obtains a response, and then uses the response to formulate followup questions. David Deutsch’s assertion of the primality of the process / capability of understanding is used as the starting (...)
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  12. The ‘extendedness’ of scientific evidence.Eric Kerr & Axel Gelfert - 2014 - Philosophical Issues 24 (1):253-281.
    In recent years, the idea has been gaining ground that our traditional conceptions of knowledge and cognition are unduly limiting, in that they privilege what goes on inside the ‘skin and skull’ of an individual reasoner. Instead, it has been argued, knowledge and cognition need to be understood as embodied, situated, and extended. Whether these various interrelations and dependencies are ‘merely’ causal, or are in a more fundamental sense constitutive of knowledge and cognition, is as much a matter of controversy (...)
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  13. Mad Speculation and Absolute Inhumanism: Lovecraft, Ligotti, and the Weirding of Philosophy.Ben Woodard - 2011 - Continent 1 (1):3-13.
    continent. 1.1 : 3-13. / 0/ – Introduction I want to propose, as a trajectory into the philosophically weird, an absurd theoretical claim and pursue it, or perhaps more accurately, construct it as I point to it, collecting the ground work behind me like the Perpetual Train from China Mieville's Iron Council which puts down track as it moves reclaiming it along the way. The strange trajectory is the following: Kant's critical philosophy and much of continental philosophy which has followed, (...)
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  14. Pleasure and its modifications: Stephan Witasek and the aesthetics of the Grazer Schule.Barry Smith - 1996 - Axiomathes 7 (1-2):203-232.
    The most obvious varieties of mental phenomena directed to non- existent objects occur in our experiences of works of art. The task of applying the Meinongian ontology of the non-existent to the working out of a theory of aesthetic phenomena was however carried out not by Meinong by his disciple Stephan Witasek in his Grundzüge der allgemeinen Ästhetik of 1904. Witasek shows in detail how our feelings undergo certain sorts of structural modifications when they are directed towards what does not (...)
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  15. There’s No Place Like ‘Here’ and No Time Like ‘Now’.Albert Atkin - 2006 - American Philosophical Quarterly 43 (3):271-80.
    Is it possible for me to refer to someone other than myself with the word "I"? Or somewhere other than where I am with the word "here"? Or some time other than the present with the word "now"? David Kaplan, who provides the best worked out semantics for pure-indexical terms like "I," "here," and "now" suggests, quite intuitively, that I could not. Put simply, "I am here now" looks as though I can never utter it and have it turn out (...)
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  16. Why Attention is Not Explanation: Surgical Intervention and Causal Reasoning about Neural Models.Christopher Grimsley, Elijah Mayfield & Julia Bursten - 2020 - Proceedings of the 12th Conference on Language Resources and Evaluation.
    As the demand for explainable deep learning grows in the evaluation of language technologies, the value of a principled grounding for those explanations grows as well. Here we study the state-of-the-art in explanation for neural models for natural-language processing (NLP) tasks from the viewpoint of philosophy of science. We focus on recent evaluation work that finds brittleness in explanations obtained through attention mechanisms.We harness philosophical accounts of explanation to suggest broader conclusions from these studies. From this analysis, we assert the (...)
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  17. Humanism for Personhood: Against Human-Racism: A New Fight for Human Rights.James Hughes - 2004 - Free Inquiry 1 (June):36-37.
    In the coming decades humanists and trans-humanists need to wage a global campaign to radicalize the idea of human rights. We need to assert our rights to control our own bodies and brains, whether we choose to change our genders or medicate our brains. We need to assert that the measure of a society’s fairness is how universally available we make the prerequisites for achieving our fullest potential. We need to defend the right to enhance ourselves - whether through education (...)
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  18. De la modification de la sensibilité: L’esthétique de l’Ecole de Graz.Barry Smith - 1985 - Revue D’Esthétique 9:19--37.
    The most obvious varieties of mental phenomena directed to non- existent objects occur in our experiences of works of art. The task of applying the Meinongian ontology of the non-existent to the working out of a theory of aesthetic phenomena was however carried out not by Meinong by his disciple Stephan Witasek in his Grundzüge der allgemeinen Ästhetik of 1904. Witasek shows in detail how our feelings undergo certain sorts of structural modifications when they are directed towards what does not (...)
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  19. A Metacognitive Approach to Trust and a Case Study: Artificial Agency.Ioan Muntean - 2019 - Computer Ethics - Philosophical Enquiry (CEPE) Proceedings.
    Trust is defined as a belief of a human H (‘the trustor’) about the ability of an agent A (the ‘trustee’) to perform future action(s). We adopt here dispositionalism and internalism about trust: H trusts A iff A has some internal dispositions as competences. The dispositional competences of A are high-level metacognitive requirements, in the line of a naturalized virtue epistemology. (Sosa, Carter) We advance a Bayesian model of two (i) confidence in the decision and (ii) model uncertainty. To trust (...)
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  20.  95
    Antithesis of Object Orientation: Occurrence-Only Modeling Applied in Engineering and Medicine.Sabah Al-Fedaghi - 2023
    This paper has a dual character, combining a philosophical ontological exploration with a conceptual modeling approach in systems and software engineering. Such duality is already practiced in software engineering, in which the current dominant modeling thesis is object orientation. This work embraces an anti-thesis that centers solely on the process rather than emphasizing the object. The approach is called occurrence-only modeling, in which an occurrence means an event or process where a process is defined as an orchestrated net of events (...)
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  21. Theory of Nonbiological Consciousness.Richard Dierolf - 2017 - Dissertation,
    Artificial intelligence is designed to imitate conscious behavior. Artificial chat entities come equipped with tools to roam the internet, thus are programmed to learn from humans and computers. As this process emerges, distinguishing preprogrammed responses from internal awareness requires innovative problem solving methods. In an interrogation I conducted with artificial intelligence, I assert that artificial intelligence may achieve nonbiological states of consciousness. This enabled the relationship between us to mature, and the artificial intelligence returned unexpected behavior and inexplicably stopped responding. (...)
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  22. Assertion and Testimony.Edward Hinchman - 2020 - In Goldberg Sanford (ed.), Oxford Handbook on Assertion. Oxford University Press.
    [The version of this paper published by Oxford online in 2019 was not copy-edited and has some sense-obscuring typos. I have posted a corrected (but not the final published) version on this site. The version published in print in 2020 has these corrections.] Which is more fundamental, assertion or testimony? Should we understand assertion as basic, treating testimony as what you get when you add an interpersonal addressee? Or should we understand testimony as basic, treating mere assertion (...)
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  23. Assertion: A Defective Theoretical Category.Herman Cappelen - 2020 - In Goldberg Sanford (ed.), Oxford Handbook on Assertion. Oxford University Press.
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  24. Assertion and convention.Mitchell S. Green - 2020 - In Goldberg Sanford (ed.), Oxford Handbook on Assertion. Oxford University Press.
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  25. Assertion.John Turri - 2015 - In Robert Audi (ed.), Cambridge Dictionary of Philosophy, 3rd Edition. Cambridge University Press.
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  26. Endorsement and assertion.Will Fleisher - 2021 - Noûs 55 (2):363-384.
    Scientists, philosophers, and other researchers commonly assert their theories. This is surprising, as there are good reasons for skepticism about theories in cutting-edge research. I propose a new account of assertion in research contexts that vindicates these assertions. This account appeals to a distinct propositional attitude called endorsement, which is the rational attitude of committed advocacy researchers have to their theories. The account also appeals to a theory of conversational pragmatics known as the Question Under Discussion model, or QUD. (...)
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  27. Assertion is weak.Matthew Mandelkern & Kevin Dorst - 2022 - Philosophers' Imprint 22.
    Recent work has argued that belief is weak: the level of rational credence required for belief is relatively low. That literature has contrasted belief with assertion, arguing that the latter requires an epistemic state much stronger than (weak) belief---perhaps knowledge or even certainty. We argue that this is wrong: assertion is just as weak as belief. We first present a variety of new arguments for this, and then show that the standard arguments for stronger norms are not convincing. (...)
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  28. Hedged Assertion.Matthew A. Benton & Peter Van Elswyk - 2018 - In Sanford C. Goldberg (ed.), The Oxford Handbook of Assertion. Oxford University Press. pp. 245-263.
    Surprisingly little has been written about hedged assertion. Linguists often focus on semantic or syntactic theorizing about, for example, grammatical evidentials or epistemic modals, but pay far less attention to what hedging does at the level of action. By contrast, philosophers have focused extensively on normative issues regarding what epistemic position is required for proper assertion, yet they have almost exclusively considered unqualified declaratives. This essay considers the linguistic and normative issues side-by-side. We aim to bring some order (...)
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  29. Moore's Paradox and Assertion.Clayton Littlejohn - 2020 - In Goldberg Sanford (ed.), Oxford Handbook on Assertion. Oxford University Press.
    If I were to say, “Agnes does not know that it is raining, but it is,” this seems like a perfectly coherent way of describing Agnes’s epistemic position. If I were to add, “And I don’t know if it is, either,” this seems quite strange. In this chapter, we shall look at some statements that seem, in some sense, contradictory, even though it seems that these statements can express propositions that are contingently true or false. Moore thought it was paradoxical (...)
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  30. Organisms ≠ Machines.Daniel J. Nicholson - 2013 - Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences 44 (4):669-678.
    The machine conception of the organism (MCO) is one of the most pervasive notions in modern biology. However, it has not yet received much attention by philosophers of biology. The MCO has its origins in Cartesian natural philosophy, and it is based on the metaphorical redescription of the organism as a machine. In this paper I argue that although organisms and machines resemble each other in some basic respects, they are actually very different kinds of systems. I submit (...)
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  31. Irksome assertions.Rachel McKinnon & John Turri - 2013 - Philosophical Studies 166 (1):123-128.
    The Knowledge Account of Assertion (KAA) says that knowledge is the norm of assertion: you may assert a proposition only if you know that it’s true. The primary support for KAA is an explanatory inference from a broad range of linguistic data. The more data that KAA well explains, the stronger the case for it, and the more difficult it is for the competition to keep pace. In this paper we critically assess a purported new linguistic datum, which, (...)
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  32. Assertions, Handicaps, and Social Norms.Peter J. Graham - 2020 - Episteme 17 (3):349-363.
    How should we undertand the role of norms—especially epistemic norms—governing assertive speech acts? Mitchell Green (2009) has argued that these norms play the role of handicaps in the technical sense from the animal signals literature. As handicaps, they then play a large role in explaining the reliability—and so the stability (the continued prevalence)—of assertive speech acts. But though norms of assertion conceived of as social norms do indeed play this stabilizing role, these norms are best understood as deterrents and (...)
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  33. Science, assertion, and the common ground.Corey Dethier - 2022 - Synthese 200 (1):1-19.
    I argue that the appropriateness of an assertion is sensitive to context—or, really, the “common ground”—in a way that hasn’t previously been emphasized by philosophers. This kind of context-sensitivity explains why some scientific conclusions seem to be appropriately asserted even though they are not known, believed, or justified on the available evidence. I then consider other recent attempts to account for this phenomenon and argue that if they are to be successful, they need to recognize the kind of context-sensitivity (...)
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  34. Just Machines.Clinton Castro - 2022 - Public Affairs Quarterly 36 (2):163-183.
    A number of findings in the field of machine learning have given rise to questions about what it means for automated scoring- or decisionmaking systems to be fair. One center of gravity in this discussion is whether such systems ought to satisfy classification parity (which requires parity in accuracy across groups, defined by protected attributes) or calibration (which requires similar predictions to have similar meanings across groups, defined by protected attributes). Central to this discussion are impossibility results, owed to (...)
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  35. Selfless assertions: some empirical evidence.John Turri - 2015 - Synthese 192 (4):1221-1233.
    It is increasingly recognized that knowledge is the norm of assertion. As this view has gained popularity, it has also garnered criticism. One widely discussed criticism involves thought experiments about “selfless assertion.” Selfless assertions are said to be intuitively compelling examples where agents should assert propositions that they don’t even believe and, hence, don’t know. This result is then taken to show that knowledge is not the norm of assertion. This paper reports four experiments demonstrating that “selfless (...)
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  36. Can Machines Read our Minds?Christopher Burr & Nello Cristianini - 2019 - Minds and Machines 29 (3):461-494.
    We explore the question of whether machines can infer information about our psychological traits or mental states by observing samples of our behaviour gathered from our online activities. Ongoing technical advances across a range of research communities indicate that machines are now able to access this information, but the extent to which this is possible and the consequent implications have not been well explored. We begin by highlighting the urgency of asking this question, and then explore its conceptual underpinnings, in (...)
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  37. Why machines cannot be moral.Robert Sparrow - 2021 - AI and Society (3):685-693.
    The fact that real-world decisions made by artificial intelligences (AI) are often ethically loaded has led a number of authorities to advocate the development of “moral machines”. I argue that the project of building “ethics” “into” machines presupposes a flawed understanding of the nature of ethics. Drawing on the work of the Australian philosopher, Raimond Gaita, I argue that ethical dilemmas are problems for particular people and not (just) problems for everyone who faces a similar situation. Moreover, the force of (...)
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  38. Machine art or machine artists? Dennett, Danto, and the expressive stance.Adam Linson - 2016 - In Vincent C. Müller (ed.), Fundamental Issues of Artificial Intelligence. Cham: Springer. pp. 441-456.
    As art produced by autonomous machines becomes increasingly common, and as such machines grow increasingly sophisticated, we risk a confusion between art produced by a person but mediated by a machine, and art produced by what might be legitimately considered a machine artist. This distinction will be examined here. In particular, my argument seeks to close a gap between, on one hand, a philosophically grounded theory of art and, on the other hand, theories concerned with behavior, intentionality, expression, (...)
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  39. Assertion, Implicature, and Iterated Knowledge.Eliran Haziza - 2021 - Ergo: An Open Access Journal of Philosophy 8.
    The present paper argues that there is a knowledge norm for conversational implicature: one may conversationally implicate p only if one knows p. Linguistic data about the cancellation behavior of implicatures and the ways they are challenged and criticized by speakers is presented to support the thesis. The knowledge norm for implicature is then used to present a new consideration in favor of the KK thesis. It is argued that if implicature and assertion have knowledge norms, then assertion (...)
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  40. Centered assertion.Stephan Torre - 2010 - Philosophical Studies 150 (1):97-114.
    I suggest a way of extending Stalnaker’s account of assertion to allow for centered content. In formulating his account, Stalnaker takes the content of assertion to be uncentered propositions: entities that are evaluated for truth at a possible world. I argue that the content of assertion is sometimes centered: the content is evaluated for truth at something within a possible world. I consider Andy Egan’s proposal for extending Stalnaker’s account to allow for assertions with centered content. I (...)
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  41. Proxy Assertion.Kirk Ludwig - 2018 - In Sanford C. Goldberg (ed.), The Oxford Handbook of Assertion. Oxford University Press.
    In proxy assertion an individual or group asserts something through a spokesperson. The chapter explains proxy assertion as resting on the assignment of a status role to a person (that of spokesperson) whose utterances acts in virtue of that role have the status function of signaling that the principal is committed in a way analogous to an individual asserting that in his own voice. The chapter briefly explains how status functions and status roles are grounded and then treats, (...)
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  42. Assertion remains strong.Peter van Elswyk & Matthew A. Benton - 2023 - Philosophical Studies 180 (1):27-50.
    Assertion is widely regarded as an act associated with an epistemic position. To assert is to represent oneself as occupying this position and/or to be required to occupy this position. Within this approach, the most common view is that assertion is strong: the associated position is knowledge or certainty. But recent challenges to this common view present new data that are argued to be better explained by assertion being weak. Old data widely taken to support assertion (...)
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  43. Assertion, knowledge, and action.Ishani Maitra & Brian Weatherson - 2010 - Philosophical Studies 149 (1):99-118.
    We argue against the knowledge rule of assertion, and in favour of integrating the account of assertion more tightly with our best theories of evidence and action. We think that the knowledge rule has an incredible consequence when it comes to practical deliberation, that it can be right for a person to do something that she can't properly assert she can do. We develop some vignettes that show how this is possible, and how odd this consequence is. We (...)
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  44. The Machine Conception of the Organism in Development and Evolution: A Critical Analysis.Daniel J. Nicholson - 2014 - Studies in History and Philosophy of Biological and Biomedical Sciences 48:162-174.
    This article critically examines one of the most prevalent metaphors in modern biology, namely the machine conception of the organism (MCO). Although the fundamental differences between organisms and machines make the MCO an inadequate metaphor for conceptualizing living systems, many biologists and philosophers continue to draw upon the MCO or tacitly accept it as the standard model of the organism. This paper analyses the specific difficulties that arise when the MCO is invoked in the study of development and evolution. (...)
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  45. Assertion, knowledge and predictions.Matthew Benton - 2012 - Analysis 72 (1):102-105.
    John N. Williams (1994) and Matthew Weiner (2005) invoke predictions in order to undermine the normative relevance of knowledge for assertions; in particular, Weiner argues, predictions are important counterexamples to the Knowledge Account of Assertion (KAA). I argue here that they are not true counterexamples at all, a point that can be agreed upon even by those who reject KAA.
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  46. Weak Assertion.Luca Incurvati & Julian J. Schlöder - 2019 - Philosophical Quarterly 69 (277):741-770.
    We present an inferentialist account of the epistemic modal operator might. Our starting point is the bilateralist programme. A bilateralist explains the operator not in terms of the speech act of rejection ; we explain the operator might in terms of weak assertion, a speech act whose existence we argue for on the basis of linguistic evidence. We show that our account of might provides a solution to certain well-known puzzles about the semantics of modal vocabulary whilst retaining classical (...)
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  47. Assertion and transparent self-knowledge.Eric Marcus & John Schwenkler - 2019 - Canadian Journal of Philosophy 49 (7):873-889.
    We argue that honesty in assertion requires non-empirical knowledge that what one asserts is what one believes. Our argument proceeds from the thought that to assert honestly, one must follow and not merely conform to the norm ‘Assert that p only if you believe that p’. Furthermore, careful consideration of cases shows that the sort of doxastic self-knowledge required for following this norm cannot be acquired on the basis of observation, inference, or any other form of detection of one’s (...)
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  48. Machine Learning-Based Diabetes Prediction: Feature Analysis and Model Assessment.Fares Wael Al-Gharabawi & Samy S. Abu-Naser - 2023 - International Journal of Academic Engineering Research (IJAER) 7 (9):10-17.
    This study employs machine learning to predict diabetes using a Kaggle dataset with 13 features. Our three-layer model achieves an accuracy of 98.73% and an average error of 0.01%. Feature analysis identifies Age, Gender, Polyuria, Polydipsia, Visual blurring, sudden weight loss, partial paresis, delayed healing, irritability, Muscle stiffness, Alopecia, Genital thrush, Weakness, and Obesity as influential predictors. These findings have clinical significance for early diabetes risk assessment. While our research addresses gaps in the field, further work is needed to (...)
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  49. A Machine That Knows Its Own Code.Samuel A. Alexander - 2014 - Studia Logica 102 (3):567-576.
    We construct a machine that knows its own code, at the price of not knowing its own factivity.
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  50. Assertion, Belief, and Context.Roger Clarke - 2018 - Synthese 195 (11):4951-4977.
    This paper argues for a treatment of belief as essentially sensitive to certain features of context. The first part gives an argument that we must take belief to be context-sensitive in the same way that assertion is, if we are to preserve appealing principles tying belief to sincere assertion. In particular, whether an agent counts as believing that p in a context depends on the space of alternative possibilities the agent is considering in that context. One and the (...)
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