Results for 'Emily J. Hangen'

955 found
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  1. Group-level differences in visual search asymmetry.Emily S. Cramer, Michelle J. Dusko & Ronald A. Rensink - 2016 - Attention Perception and Psychophysics 78:1585-1602.
    East Asians and Westerners differ in various aspects of perception and cognition. For example, visual memory for East Asians is believed to be more influenced by the contextual aspects of a scene than is the case for Westerners (Masuda & Nisbett, 2001). There are also differences in visual search: for Westerners, search for a long line among short is faster than for short among long, whereas this difference does not appear to hold for East Asians (Ueda et al., submitted). However, (...)
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  2. Artificial reproduction, the 'welfare principle', and the common good.David Oderberg & J. A. Laing - unknown
    This article challenges the view most recently expounded by Emily Jackson that ‘decisional privacy’ ought to be respected in the realm of artificial reproduction (AR). On this view, it is considered an unjust infringement of individual liberty for the state to interfere with individual or group freedom artificially to produce a child. It is our contention that a proper evaluation of AR and of the relevance of welfare will be sensitive not only to the rights of ‘commissioning parties’ to (...)
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  3. "That's Above My Paygrade": Woke Excuses for Ignorance.Emily C. R. Tilton - 2024 - Philosophers' Imprint 24 (1).
    Standpoint theorists have long been clear that marginalization does not make better understanding a given. They have been less clear, though, that social dominance does not make ignorance a given. Indeed, many standpoint theorists have implicitly committed themselves to what I call the strong epistemic disadvantage thesis. According to this thesis, there are strong, substantive limits on what the socially dominant can know about oppression that they do not personally experience. I argue that this thesis is not just implausible but (...)
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  4. Understanding from Machine Learning Models.Emily Sullivan - 2022 - British Journal for the Philosophy of Science 73 (1):109-133.
    Simple idealized models seem to provide more understanding than opaque, complex, and hyper-realistic models. However, an increasing number of scientists are going in the opposite direction by utilizing opaque machine learning models to make predictions and draw inferences, suggesting that scientists are opting for models that have less potential for understanding. Are scientists trading understanding for some other epistemic or pragmatic good when they choose a machine learning model? Or are the assumptions behind why minimal models provide understanding misguided? In (...)
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  5. Standpoint Epistemology and the Epistemology of Deference (3rd edition).Emily Tilton & Briana Toole - forthcoming - In Mathias Steup (ed.), Blackwell Companion to Epistemology. Blackwell.
    Standpoint epistemology has been linked with increasing calls for deference to the socially marginalized. As we understand it, deference involves recognizing someone else as better positioned than we are, either to investigate or to answer some question, and then accepting their judgment as our own. We connect contemporary calls for deference to old objections that standpoint epistemology wrongly reifies differences between groups. We also argue that while deferential epistemic norms present themselves as a solution to longstanding injustices, habitual deference prevents (...)
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  6. Pure awareness experience.Brentyn J. Ramm - 2023 - Inquiry: An Interdisciplinary Journal of Philosophy 66 (3):394-416.
    I am aware of the red and orange autumn leaves. Am I aware of my awareness of the leaves? Not so according to many philosophers. By contrast, many meditative traditions report an experience of awareness itself. I argue that such a pure awareness experience must have a non-sensory phenomenal character. I use Douglas Harding’s first-person experiments for assisting in recognising pure awareness. In particular, I investigate the gap where one cannot see one’s head. This is not a mere gap because (...)
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  7. Fundamentality without Foundations.Michael J. Raven - 2016 - Philosophy and Phenomenological Research 93 (3):607-626.
    A commonly held view is that a central aim of metaphysics is to give a fundamental account of reality which refers only to the fundamental entities. But a puzzle arises. It is at least a working hypothesis for those pursuing the aim that, first, there must be fundamental entities. But, second, it also seems possible that the world has no foundation, with each entity depending on others. These two claims are inconsistent with the widely held third claim that the fundamental (...)
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  8. Is Artificial General Intelligence Impossible?William J. Rapaport - 2024 - Cosmos+Taxis 12 (5+6):5-22.
    In their Why Machines Will Never Rule the World, Landgrebe and Smith (2023) argue that it is impossible for artificial general intelligence (AGI) to succeed, on the grounds that it is impossible to perfectly model or emulate the “complex” “human neurocognitive system”. However, they do not show that it is logically impossible; they only show that it is practically impossible using current mathematical techniques. Nor do they prove that there could not be any other kinds of theories than those in (...)
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  9. Do ML models represent their targets?Emily Sullivan - forthcoming - Philosophy of Science.
    I argue that ML models used in science function as highly idealized toy models. If we treat ML models as a type of highly idealized toy model, then we can deploy standard representational and epistemic strategies from the toy model literature to explain why ML models can still provide epistemic success despite their lack of similarity to their targets.
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  10. Vulnerability in Social Epistemic Networks.Emily Sullivan, Max Sondag, Ignaz Rutter, Wouter Meulemans, Scott Cunningham, Bettina Speckmann & Mark Alfano - 2020 - International Journal of Philosophical Studies 28 (5):1-23.
    Social epistemologists should be well-equipped to explain and evaluate the growing vulnerabilities associated with filter bubbles, echo chambers, and group polarization in social media. However, almost all social epistemology has been built for social contexts that involve merely a speaker-hearer dyad. Filter bubbles, echo chambers, and group polarization all presuppose much larger and more complex network structures. In this paper, we lay the groundwork for a properly social epistemology that gives the role and structure of networks their due. In particular, (...)
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  11. SIDEs: Separating Idealization from Deceptive ‘Explanations’ in xAI.Emily Sullivan - forthcoming - Proceedings of the 2024 Acm Conference on Fairness, Accountability, and Transparency.
    Explainable AI (xAI) methods are important for establishing trust in using black-box models. However, recent criticism has mounted against current xAI methods that they disagree, are necessarily false, and can be manipulated, which has started to undermine the deployment of black-box models. Rudin (2019) goes so far as to say that we should stop using black-box models altogether in high-stakes cases because xAI explanations ‘must be wrong’. However, strict fidelity to the truth is historically not a desideratum in science. Idealizations (...)
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  12. Debate: What is Personhood in the Age of AI?David J. Gunkel & Jordan Joseph Wales - 2021 - AI and Society 36 (2):473–486.
    In a friendly interdisciplinary debate, we interrogate from several vantage points the question of “personhood” in light of contemporary and near-future forms of social AI. David J. Gunkel approaches the matter from a philosophical and legal standpoint, while Jordan Wales offers reflections theological and psychological. Attending to metaphysical, moral, social, and legal understandings of personhood, we ask about the position of apparently personal artificial intelligences in our society and individual lives. Re-examining the “person” and questioning prominent construals of that category, (...)
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  13. Well-being, Disability, and Choosing Children.Matthew J. Barker & Robert A. Wilson - 2019 - Mind 128 (510):305-328.
    The view that it is better for life to be created free of disability is pervasive in both common sense and philosophy. We cast doubt on this view by focusing on an influential line of thinking that manifests it. That thinking begins with a widely-discussed principle, Procreative Beneficence, and draws conclusions about parental choice and disability. After reconstructing two versions of this argument, we critique the first by exploring the relationship between different understandings of well-being and disability, and the second (...)
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  14. The bases of truths.Michael J. Raven - 2023 - Philosophical Studies 180 (7):2153-2174.
    This paper concerns a distinction between circumstantial truths that hold because of the circumstances and acircumstantial truths that hold regardless of, or transcend, the circumstances. Previous discussions of the distinction tended to focus on its applications, such as to modality, logical truth, and essence. This paper focuses on developing the distinction largely, but not entirely, in abstraction from its potential applications. As such, the paper’s main contribution is to further clarify the distinction itself. An indirect contribution is to help guide (...)
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  15. A Puzzle for Social Essences.Michael J. Raven - 2022 - Journal of the American Philosophical Association 8 (1):128-148.
    The social world contains institutions, groups, objects, and more. This essay explores a puzzle about the essences of social items. There is widespread consensus against social essences because of problematic presuppositions often made about them. But it is argued that essence can be freed from these presuppositions and their problems. Even so, a puzzle still arises. In a Platonic spirit, essences in general seem detached from the world. In an Aristotelian spirit, social essences in particular seem embedded in the world. (...)
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  16. Explaining essences.Michael J. Raven - 2020 - Philosophical Studies 178 (4):1043-1064.
    This paper explores the prospects of combining two views. The first view is metaphysical rationalism : all things have an explanation. The second view is metaphysical essentialism: there are real essences. The exploration is motivated by a conflict between the views. Metaphysical essentialism posits facts about essences. Metaphysical rationalism demands explanations for all facts. But facts about essences appear to resist explanation. I consider two solutions to the conflict. Exemption solutions attempt to exempt facts about essences from the demand for (...)
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  17. The importance of getting the ethics right in a pandemic treaty.G. Owen Schaefer, Caesar A. Atuire, Sharon Kaur, Michael Parker, Govind Persad, Maxwell J. Smith, Ross Upshur & Ezekiel Emanuel - 2023 - The Lancet Infectious Diseases 23 (11):e489 - e496.
    The COVID-19 pandemic revealed numerous weaknesses in pandemic preparedness and response, including underfunding, inadequate surveillance, and inequitable distribution of countermeasures. To overcome these weaknesses for future pandemics, WHO released a zero draft of a pandemic treaty in February, 2023, and subsequently a revised bureau's text in May, 2023. COVID-19 made clear that pandemic prevention, preparedness, and response reflect choices and value judgements. These decisions are therefore not a purely scientific or technical exercise, but are fundamentally grounded in ethics. The latest (...)
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  18. Can Knowledge Really be Non-factive?Michael J. Shaffer - 2021 - Logos and Episteme: An International Journal of Epistemology 12 (2):215-226.
    This paper contains a critical examination of the prospects for analyses of knowledge that weaken the factivity condition such that knowledge implies approximate truth.
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  19. Inductive Risk, Understanding, and Opaque Machine Learning Models.Emily Sullivan - 2022 - Philosophy of Science 89 (5):1065-1074.
    Under what conditions does machine learning (ML) model opacity inhibit the possibility of explaining and understanding phenomena? In this article, I argue that nonepistemic values give shape to the ML opacity problem even if we keep researcher interests fixed. Treating ML models as an instance of doing model-based science to explain and understand phenomena reveals that there is (i) an external opacity problem, where the presence of inductive risk imposes higher standards on externally validating models, and (ii) an internal opacity (...)
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  20. Syntactic semantics: Foundations of computational natural language understanding.William J. Rapaport - 1988 - In James H. Fetzer (ed.), Aspects of AI. D.
    This essay considers what it means to understand natural language and whether a computer running an artificial-intelligence program designed to understand natural language does in fact do so. It is argued that a certain kind of semantics is needed to understand natural language, that this kind of semantics is mere symbol manipulation (i.e., syntax), and that, hence, it is available to AI systems. Recent arguments by Searle and Dretske to the effect that computers cannot understand natural language are discussed, and (...)
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  21. (1 other version)Rape Myths, Catastrophe, and Credibility.Emily C. R. Tilton - 2022 - Episteme:1-17.
    There is an undeniable tendency to dismiss women’s sexual assault allegations out of hand. However, this tendency is not monolithic—allegations that black men have raped white women are often met with deadly seriousness. I argue that contemporary rape culture is characterized by the interplay between rape myths that minimize rape, and myths that catastrophize rape. Together, these two sets of rape myths distort the epistemic resources that people use when assessing rape allegations. These distortions result in the unjust exoneration of (...)
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  22. Are there any Good Arguments Against Goal-Line Technology?Emily Ryall - 2012 - Sport, Ethics and Philosophy 6 (4):439-450.
    Despite frequent calls by players, managers and fans, FIFA's resistance to the implementation of goal-line technology (GLT) has been well documented in national print and online media as well as FIFA's own website. In 2010, FIFA president Sepp Blatter outlined eight reasons why GLT should not be used in football. The reasons given by FIFA can be broadly separated into three categories; those dealing with the nature and value of the game of football, those related to issues of justice, and (...)
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  23. Motivation and Horizon: Phenomenal Intentionality in Husserl.Philip J. Walsh - 2017 - Grazer Philosophische Studien 94 (3):410-435.
    This paper argues for a Husserlian account of phenomenal intentionality. Experience is intentional insofar as it presents a mind-independent, objective world. Its doing so is a matter of the way it hangs together, its having a certain structure. But in order for the intentionality in question to be properly understood as phenomenal intentionality, this structure must inhere in experience as a phenomenal feature. Husserl’s concept of horizon designates this intentionality-bestowing experiential structure, while his concept of motivation designates the unique phenomenal (...)
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  24. Wittgenstein’s Liberatory Philosophy: Thinking Through His Philosophical Investigations.Rupert J. Read - 2020 - New York & London: Routledge.
    In this book, Rupert Read offers the first outline of a resolute reading, following the highly influential New Wittgenstein 'school', of the Philosophical Investigations. He argues that the key to understanding Wittgenstein's later philosophy is to understand its liberatory purport. Read contends that a resolute reading coincides in its fundaments with what, building on ideas in the later Gordon Baker, he calls a liberatory reading. Liberatory philosophy is philosophy that can liberate the user from compulsive patterns of thought, freeing one (...)
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  25. Semiotic Systems, Computers, and the Mind: How Cognition Could Be Computing.William J. Rapaport - 2012 - International Journal of Signs and Semiotic Systems 2 (1):32-71.
    In this reply to James H. Fetzer’s “Minds and Machines: Limits to Simulations of Thought and Action”, I argue that computationalism should not be the view that (human) cognition is computation, but that it should be the view that cognition (simpliciter) is computable. It follows that computationalism can be true even if (human) cognition is not the result of computations in the brain. I also argue that, if semiotic systems are systems that interpret signs, then both humans and computers are (...)
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  26. Understanding understanding: Syntactic semantics and computational cognition.William J. Rapaport - 1995 - Philosophical Perspectives 9:49-88.
    John Searle once said: "The Chinese room shows what we knew all along: syntax by itself is not sufficient for semantics. (Does anyone actually deny this point, I mean straight out? Is anyone actually willing to say, straight out, that they think that syntax, in the sense of formal symbols, is really the same as semantic content, in the sense of meanings, thought contents, understanding, etc.?)." I say: "Yes". Stuart C. Shapiro has said: "Does that make any sense? Yes: Everything (...)
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  27. Transferring knowledge.Peter J. Graham - 2000 - Noûs 34 (1):131–152.
    Our folk epistemology says that if someone knows that P and tells you that P, then, given the absence of defeaters, if you believe what they tell you, you will come to know that P as well. A speaker's knowledge that P is then, for the most part, enough for a hearer to come to know that P. But there are counterexamples to this principle: testimonial knowledge does not always transfer from the speaker to the hearer. Why should that be (...)
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  28. Implementation is Semantic Interpretation.Willam J. Rapaport - 1999 - The Monist 82 (1):109-130.
    What is the computational notion of “implementation”? It is not individuation, instantiation, reduction, or supervenience. It is, I suggest, semantic interpretation.
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  29. Etic Theorizing Unanchored.Michael J. Raven - forthcoming - Journal of Social Ontology.
    Etic theorizing uses the theorist’s social notions to theorize about their subject. This theorist may claim that Genghis Khan was a war criminal even though his actions predate the enactment of the Geneva Conventions. Brian Epstein considers a modal etic theorist who claims that Genghis Khan would have been a war criminal even if the Geneva Conventions were never enacted. Epstein argues that this has metaphysical import: it requires postulating a novel metaphysical notion of “anchoring”. Drawing from some familiar issues (...)
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  30. Seeing the Void: Experiencing Emptiness and Awareness with the Headless Way Technique.Brentyn J. Ramm, Anna-Lena Lumma, Terje Sparby & Ulrich Weger - 2024 - Mindfulness 15:958–976.
    Objectives Practitioners in contemplative traditions commonly report experiencing an awareness that is distinct from sensory objects, thoughts, and emotions (“awareness itself”). They also report experiences of a void or underlying silence that is closely associated with this awareness. Subjects who carry out the Headless Way exercises frequently report an experience of emptiness or void at the same time as other contents (void-like experiences). The goals of this study were to (1) assess the reliability of these methods in eliciting the recognition (...)
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  31. (1 other version)Logical foundations for belief representation.William J. Rapaport - 1986 - Cognitive Science 10 (4):371-422.
    This essay presents a philosophical and computational theory of the representation of de re, de dicto, nested, and quasi-indexical belief reports expressed in natural language. The propositional Semantic Network Processing System (SNePS) is used for representing and reasoning about these reports. In particular, quasi-indicators (indexical expressions occurring in intentional contexts and representing uses of indicators by another speaker) pose problems for natural-language representation and reasoning systems, because--unlike pure indicators--they cannot be replaced by coreferential NPs without changing the meaning of the (...)
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  32. What Physicalism Could Be.Michael J. Raven - forthcoming - Analytic Philosophy.
    The physicalist credo is that the world is physical. But some phenomena, such as minds, morals, and mathematics, appear to be nonphysical. While an uncompromising physicalism would reject these, a conciliatory physicalism needn’t if it can account for them in terms of an underlying physical basis. Any such account must refer to the nonphysical. But won’t this unavoidable reference to the nonphysical conflict with the physicalist credo? This essay aims to clarify this problem and introduce a novel solution that relies (...)
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  33. Philosophy of Computer Science.William J. Rapaport - 2005 - Teaching Philosophy 28 (4):319-341.
    There are many branches of philosophy called “the philosophy of X,” where X = disciplines ranging from history to physics. The philosophy of artificial intelligence has a long history, and there are many courses and texts with that title. Surprisingly, the philosophy of computer science is not nearly as well-developed. This article proposes topics that might constitute the philosophy of computer science and describes a course covering those topics, along with suggested readings and assignments.
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  34. Physicalism and its Challenges in Social Ontology.Michael J. Raven - forthcoming - In Stephanie Collins, Brian Epstein, Sally Haslanger & Hans B. Schmid (eds.), Oxford Handbook of Social Ontology. Oxford University Press.
    This chapter will discuss the relation of physicalism to social ontology, and explores problems that social ontology raises for physicalism. Physicalism is often understood to be the view that all facts—the social ones included—are physical facts, or at least are exhaustively determined by physical facts. While this view is widely endorsed, social phenomena challenge physicalism in several ways, both challenging the coherence of claims of physicalism and raising potential counterexamples.
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  35. How Helen Keller Used Syntactic Semantics to Escape from a Chinese Room.William J. Rapaport - 2006 - Minds and Machines 16 (4):381-436.
    A computer can come to understand natural language the same way Helen Keller did: by using “syntactic semantics”—a theory of how syntax can suffice for semantics, i.e., how semantics for natural language can be provided by means of computational symbol manipulation. This essay considers real-life approximations of Chinese Rooms, focusing on Helen Keller’s experiences growing up deaf and blind, locked in a sort of Chinese Room yet learning how to communicate with the outside world. Using the SNePS computational knowledge-representation system, (...)
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  36. Not What I Agreed To: Content and Consent.Emily C. R. Tilton & Jonathan Ichikawa - 2021 - Ethics 132 (1):127–154.
    Deception sometimes results in nonconsensual sex. A recent body of literature diagnoses such violations as invalidating consent: the agreement is not morally transformative, which is why the sexual contact is a rights violation. We pursue a different explanation for the wrongs in question: there is valid consent, but it is not consent to the sex act that happened. Semantic conventions play a key role in distinguishing deceptions that result in nonconsensual sex (like stealth condom removal) from those that don’t (like (...)
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  37. Quasi‐Indexicals and Knowledge Reports.William J. Rapaport, Stuart C. Shapiro & Janyce M. Wiebe - 1997 - Cognitive Science 21 (1):63-107.
    We present a computational analysis of de re, de dicto, and de se belief and knowledge reports. Our analysis solves a problem first observed by Hector-Neri Castañeda, namely, that the simple rule -/- `(A knows that P) implies P' -/- apparently does not hold if P contains a quasi-indexical. We present a single rule, in the context of a knowledge-representation and reasoning system, that holds for all P, including those containing quasi-indexicals. In so doing, we explore the difference between reasoning (...)
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  38. Color constancy: Phenomenal or projective?Adam J. Reeves, Kinjiro Amano & David H. Foster - 2008 - Perception and Psychophysics 70:219-228.
    Naive observers viewed a sequence of colored Mondrian patterns, simulated on a color monitor. Each pattern was presented twice in succession, first under one daylight illuminant with a correlated color temperature of either 16,000 or 4,000 K and then under the other, to test for color constancy. The observers compared the central square of the pattern across illuminants, either rating it for sameness of material appearance or sameness of hue and saturation or judging an objective property—that is, whether its change (...)
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  39. The Value of Time Matters for Temporal Justice.Jens Jørund Tyssedal - 2021 - Ethical Theory and Moral Practice 24 (1):183-196.
    There has recently been a revived interest in temporal justice among political philosophers. For example, lone mothers have, on average, 30 h less free time per week than people in couples without children. Recent work has focussed on free time as a distinct distributive good, but this paper argues that it would be a mistake for a theory of temporal justice to focus only on shares of free time. First, I argue that the concept of free time does not succeed (...)
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  40. How to Know That You’re Not a Zombie.Brentyn J. Ramm - 2024 - Erkenntnis:1-22.
    I am aware of the tree and its leaves, but am I aware of my awareness of these things? When I try to introspect my awareness, I just find myself attending to objects and their properties. This observation is known as the ‘transparency of experience’. On the other hand, I seem to directly know that I am aware. Given the first observation, it is not clear how I know that I am aware. Fred Dretske thought that the problem was so (...)
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  41. What Is the “Context” for Contextual Vocabulary Acquisition?William J. Rapaport - 2003 - Proceedings of the 4th Joint International Conference on Cognitive Science/7th Australasian Society for Cognitive Science Conference 2:547-552.
    “Contextual” vocabulary acquisition is the active, deliberate acquisition of a meaning for a word in a text by reasoning from textual clues and prior knowledge, including language knowledge and hypotheses developed from prior encounters with the word, but without external sources of help such as dictionaries or people. But what is “context”? Is it just the surrounding text? Does it include the reader’s background knowledge? I argue that the appropriate context for contextual vocabulary acquisition is the reader’s “internalization” of the (...)
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  42. Syntax, Semantics, and Computer Programs.William J. Rapaport - 2020 - Philosophy and Technology 33 (2):309-321.
    Turner argues that computer programs must have purposes, that implementation is not a kind of semantics, and that computers might need to understand what they do. I respectfully disagree: Computer programs need not have purposes, implementation is a kind of semantic interpretation, and neither human computers nor computing machines need to understand what they do.
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  43. Postdigital Prospects for Blockchain-Disrupted Higher Education: Beyond the Theater, Memes and Marketing Hype.Shane J. Ralston - 2020 - Postdigital Science and Education 2 (1):280-288.
    With DLT’s success in driving the development of cryptocurrency (such as Bitcoin), the technology bridged to a myriad of knowledge-based applications, most notably in the areas of commerce, industry and government . In the language of technology sector insiders, these areas were ‘disrupted’ by Blockchain. Some higher education analysts, technology industry insiders and futurists have claimed that Blockchain technology will inevitably disrupt higher education in a similarly dramatic fashion. The aim of this commentary is to introduce a healthy dose of (...)
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  44. Link Uncertainty, Implementation, and ML Opacity: A Reply to Tamir and Shech.Emily Sullivan - 2022 - In Insa Lawler, Kareem Khalifa & Elay Shech (eds.), Scientific Understanding and Representation: Modeling in the Physical Sciences. New York, NY: Routledge. pp. 341-345.
    This chapter responds to Michael Tamir and Elay Shech’s chapter “Understanding from Deep Learning Models in Context.”.
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  45. Can Real Social Epistemic Networks Deliver the Wisdom of Crowds?Emily Sullivan, Max Sondag, Ignaz Rutter, Wouter Meulemans, Scott Cunningham, Bettina Speckmann & Mark Alfano - 2014 - In Tania Lombrozo, Joshua Knobe & Shaun Nichols (eds.), Oxford Studies in Experimental Philosophy, Volume 1. Oxford, GB: Oxford University Press UK.
    In this paper, we explain and showcase the promising methodology of testimonial network analysis and visualization for experimental epistemology, arguing that it can be used to gain insights and answer philosophical questions in social epistemology. Our use case is the epistemic community that discusses vaccine safety primarily in English on Twitter. In two studies, we show, using both statistical analysis and exploratory data visualization, that there is almost no neutral or ambivalent discussion of vaccine safety on Twitter. Roughly half the (...)
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  46. Universality caused: the case of renormalization group explanation.Emily Sullivan - 2019 - European Journal for Philosophy of Science 9 (3):36.
    Recently, many have argued that there are certain kinds of abstract mathematical explanations that are noncausal. In particular, the irrelevancy approach suggests that abstracting away irrelevant causal details can leave us with a noncausal explanation. In this paper, I argue that the common example of Renormalization Group explanations of universality used to motivate the irrelevancy approach deserves more critical attention. I argue that the reasons given by those who hold up RG as noncausal do not stand up to critical scrutiny. (...)
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  47. Vectors of epistemic insecurity.Emily Sullivan & Mark Alfano - 2020 - In Ian James Kidd, Quassim Cassam & Heather Battaly (eds.), Vice Epistemology. New York, NY: Routledge.
    Epistemologists have addressed a variety of modal epistemic standings, such as sensitivity, safety, risk, and epistemic virtue. These concepts mark out the ways that beliefs can fail to track the truth, articulate the conditions needed for knowledge, and indicate ways to become a better epistemic agent. However, it is our contention that current ways of carving up epistemic modality ignore the complexities that emerge when individuals are embedded within a community and listening to a variety of sources, some of whom (...)
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  48. Yes, She Was!: Reply to Ford’s “Helen Keller Was Never in a Chinese Room”.William J. Rapaport - 2011 - Minds and Machines 21 (1):3-17.
    Ford’s Helen Keller Was Never in a Chinese Room claims that my argument in How Helen Keller Used Syntactic Semantics to Escape from a Chinese Room fails because Searle and I use the terms ‘syntax’ and ‘semantics’ differently, hence are at cross purposes. Ford has misunderstood me; this reply clarifies my theory.
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  49. Contextual Vocabulary Acquisition: A Computational Theory and Educational Curriculum.William J. Rapaport & Michael W. Kibby - 2002 - In Nagib Callaos, Ana Breda & Ma Yolanda Fernandez J. (eds.), Proceedings of the 6th World Multiconference on Systemics, Cybernetics and Informatics. International Institute of Informatics and Systemics.
    We discuss a research project that develops and applies algorithms for computational contextual vocabulary acquisition (CVA): learning the meaning of unknown words from context. We try to unify a disparate literature on the topic of CVA from psychology, first- and secondlanguage acquisition, and reading science, in order to help develop these algorithms: We use the knowledge gained from the computational CVA system to build an educational curriculum for enhancing students’ abilities to use CVA strategies in their reading of science texts (...)
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  50. Cognitive and Computer Systems for Understanding Narrative Text.William J. Rapaport, Erwin M. Segal, Stuart C. Shapiro, David A. Zubin, Gail A. Bruder, Judith Felson Duchan & David M. Mark - manuscript
    This project continues our interdisciplinary research into computational and cognitive aspects of narrative comprehension. Our ultimate goal is the development of a computational theory of how humans understand narrative texts. The theory will be informed by joint research from the viewpoints of linguistics, cognitive psychology, the study of language acquisition, literary theory, geography, philosophy, and artificial intelligence. The linguists, literary theorists, and geographers in our group are developing theories of narrative language and spatial understanding that are being tested by the (...)
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