Results for 'deep desagreement'

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  1. Dialecticality and Deep Disagreement.Scott F. Aikin - 2018 - Symposion: Theoretical and Applied Inquiries in Philosophy and Social Sciences 5 (2):173-179.
    In this paper, I will argue for a complex of three theses. First, that the problem of deep disagreement is an instance of the regress problem of justification. Second, that the problem of deep disagreement, as a regress problem, depends on a dialecticality requirement for arguments. Third, that the dialecticality requirement is plausible and defensible.
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  2. Cognitive dimensions of talim: evaluating weaving notation through cognitive dimensions (CDs) framework.Kaur Gagan Deep - 2016 - Cognitive Processing:0-0.
    The design process in Kashmiri carpet weaving is distributed over a number of actors and artifacts and is mediated by a weaving notation called talim. The script encodes entire design in practice-specific symbols. This encoded script is decoded and interpreted via design-specific conventions by weavers to weave the design embedded in it. The cognitive properties of this notational system are described in the paper employing cognitive dimensions (CDs) framework of Green (People and computers, Cambridge University Press, Cambridge, 1989) and Blackwell (...)
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  3. Modelling prejudice and its effect on societal prosperity.Deep Inder Mohan, Arjun Verma & Shrisha Rao - 2023 - Journal of Simulation 17 (6):647--657.
    Existing studies of the multi-group dynamics of prejudiced societies focus on the social- psychological knowledge behind the relevant processes. We instead create a multi-agent framework that simulates the propagation of prejudice and measures its tangible impact on prosperity. Levels of prosperity are tracked for individuals as well as larger social structures including groups and factions. We model social interactions using the Continuous Prisoner's Dilemma (CPD) and a new agent type called a prejudiced agent. Our simulations show that even modeling prejudice (...)
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  4. Different researchers’ opinion based survey: On the insights and the beliefs’ regarding the existence of God in various religions to the atheistic belief with ‘no presence of God at all’.Deep Bhattacharjee - manuscript
    If this can be seen as a long way from the beginning of the ancient history, where humans have envisioned different new things and then invented them to make their life’s working smoother and easier, then it can be found that they have attributed their discoveries to various aspects and names of Gods and tried to signify their belief in the form of portraying the God’s powers through the nature of their discovery. Rather, in much modern times, when humans have (...)
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  5. Cognitive bearing of techno-advances in Kashmiri carpet designing.Gagan Deep Kaur - 2016 - AI and Society:0-0.
    The design process in Kashmiri carpet weaving is a distributed process encompassing a number of actors and artifacts. These include a designer called naqash who creates the design on graphs, and a coder called talim-guru who encodes that design in a specific notation called talim which is deciphered and interpreted by the weavers to weave the design. The technological interventions over the years have influenced these artifacts considerably and triggered major changes in the practice, from heralding profound cognitive accomplishments in (...)
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  6. Situated and distributed cognition in artifact negotiation and trade-specific skills: A cognitive ethnography of Kashmiri carpet weaving practice.Gagan Deep Kaur - 2018 - Theory and Psychology 28 (4):451-475.
    This article describes various ways actors in Kashmiri carpet weaving practice deploy a range of artifacts, from symbolic, to material, to hybrid, in order to achieve diverse cognitive accomplishments in their particular task domains: information representation, inter and intra-domain communication, distribution of cognitive labor across people and time, coordination of team activities, and carrying of cultural heritage. In this repertoire, some artifacts position themselves as naïve tools in the actors’ environment to the point of being ignored; however, their usage-in-context unfolds (...)
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  7. Deep Brain Stimulation, Authenticity and Value.Pugh Jonathan, Maslen Hannah & Savulescu Julian - 2017 - Cambridge Quarterly of Healthcare Ethics 26 (4):640-657.
    Deep brain stimulation has been of considerable interest to bioethicists, in large part because of the effects that the intervention can occasionally have on central features of the recipient’s personality. These effects raise questions regarding the philosophical concept of authenticity. In this article, we expand on our earlier work on the concept of authenticity in the context of deep brain stimulation by developing a diachronic, value-based account of authenticity. Our account draws on both existentialist and essentialist approaches to (...)
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  8. Modeling Deep Disagreement in Default Logic.Frederik J. Andersen - 2024 - Australasian Journal of Logic 21 (2):47-63.
    Default logic has been a very active research topic in artificial intelligence since the early 1980s, but has not received as much attention in the philosophical literature thus far. This paper shows one way in which the technical tools of artificial intelligence can be applied in contemporary epistemology by modeling a paradigmatic case of deep disagreement using default logic. In §1 model-building viewed as a kind of philosophical progress is briefly motivated, while §2 introduces the case of deep (...)
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  9. Deep learning and synthetic media.Raphaël Millière - 2022 - Synthese 200 (3):1-27.
    Deep learning algorithms are rapidly changing the way in which audiovisual media can be produced. Synthetic audiovisual media generated with deep learning—often subsumed colloquially under the label “deepfakes”—have a number of impressive characteristics; they are increasingly trivial to produce, and can be indistinguishable from real sounds and images recorded with a sensor. Much attention has been dedicated to ethical concerns raised by this technological development. Here, I focus instead on a set of issues related to the notion of (...)
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  10. Modelling Deep Indeterminacy.George Darby & Martin Pickup - 2021 - Synthese 198:1685–1710.
    This paper constructs a model of metaphysical indeterminacy that can accommodate a kind of ‘deep’ worldly indeterminacy that arguably arises in quantum mechanics via the Kochen-Specker theorem, and that is incompatible with prominent theories of metaphysical indeterminacy such as that in Barnes and Williams (2011). We construct a variant of Barnes and Williams's theory that avoids this problem. Our version builds on situation semantics and uses incomplete, local situations rather than possible worlds to build a model. We evaluate the (...)
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  11. Deep Disagreement in Mathematics.Andrew Aberdein - 2023 - Global Philosophy 33 (1):1-27.
    Disagreements that resist rational resolution, often termed “deep disagreements”, have been the focus of much work in epistemology and informal logic. In this paper, I argue that they also deserve the attention of philosophers of mathematics. I link the question of whether there can be deep disagreements in mathematics to a more familiar debate over whether there can be revolutions in mathematics. I propose an affirmative answer to both questions, using the controversy over Shinichi Mochizuki’s work on the (...)
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  12. Deep Brain Stimulation, Authenticity and Value.Sven Nyholm & Elizabeth O’Neill - 2017 - Cambridge Quarterly of Healthcare Ethics 26 (4):658-670.
    In this paper, we engage in dialogue with Jonathan Pugh, Hannah Maslen, and Julian Savulescu about how to best interpret the potential impacts of deep brain stimulation on the self. We consider whether ordinary people’s convictions about the true self should be interpreted in essentialist or existentialist ways. Like Pugh et al., we argue that it is useful to understand the notion of the true self as having both essentialist and existentialist components. We also consider two ideas from existentialist (...)
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  13.  39
    Using Deep Learning to Classify Eight Tea Leaf Diseases.Mai R. Ibaid & Samy S. Abu-Naser - 2024 - International Journal of Academic Information Systems Research (IJAISR) 8 (4):89-96.
    Abstract: People all over the world have been drinking tea for thousands of centuries, and for good reason. Many types of teas can help you stay healthy by boosting your immune system, reducing inflammation, and even preventing cancer and heart disease. There is sufficient material to show that regularly consuming tea can improve your health over the long term. A deep learning model that categorizes tea disorders has been completed. When focusing on the tea, we must also focus on (...)
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  14. Deep Learning as Method-Learning: Pragmatic Understanding, Epistemic Strategies and Design-Rules.Phillip H. Kieval & Oscar Westerblad - manuscript
    We claim that scientists working with deep learning (DL) models exhibit a form of pragmatic understanding that is not reducible to or dependent on explanation. This pragmatic understanding comprises a set of learned methodological principles that underlie DL model design-choices and secure their reliability. We illustrate this action-oriented pragmatic understanding with a case study of AlphaFold2, highlighting the interplay between background knowledge of a problem and methodological choices involving techniques for constraining how a model learns from data. Building successful (...)
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  15.  62
    Using Deep Learning to Detect the Quality of Lemons.Mohammed B. Karaja & Samy S. Abu-Naser - 2024 - International Journal of Academic Information Systems Research (IJAISR) 8 (4):97-104.
    Abstract: Lemons are an important fruit that have a wide range of uses and benefits, from culinary to health to household and beauty applications. Deep learning techniques have shown promising results in image classification tasks, including fruit quality detection. In this paper, we propose a convolutional neural network (CNN)-based approach for detecting the quality of lemons by analysing visual features such as colour and texture. The study aims to develop and train a deep learning model to classify lemons (...)
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  16.  55
    Using Deep Learning to Classify Corn Diseases.Mohanad H. Al-Qadi & Samy S. Abu-Naser - 2024 - International Journal of Academic Information Systems (Ijaisr) 8 (4):81-88.
    Abstract: A corn crop typically refers to a large-scale cultivation of corn (also known as maize) for commercial purposes such as food production, animal feed, and industrial uses. Corn is one of the most widely grown crops in the world, and it is a major staple food for many cultures. Corn crops are grown in various regions of the world with different climates, soil types, and farming practices. In the United States, for example, the Midwest is known as the "Corn (...)
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  17. Does Deep Moral Disagreement Exist in Real Life?Serhiy Kiš - 2023 - Organon F: Medzinárodný Časopis Pre Analytickú Filozofiu 30 (3):255-277.
    The existence of deep moral disagreement is used in support of views ranging from moral relativism to the impossibility of moral expertise. This is done despite the fact that it is not at all clear whether deep moral disagreements actually occur, as the usually given examples are never of real life situations, but of some generalized debates on controversial issues. The paper will try to remedy this, as any strength of arguments appealing to deep moral disagreement is (...)
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  18. Effects of Deep Brain Stimulation on the lived experience of Obsessive-Compulsive Disorder patients.Sanneke de Haan, Erik Rietveld, Martin Stokhof & Damiaan Denys - 2015 - PLoS ONE 10 (8):1-29.
    Deep Brain Stimulation (DBS) is a relatively new, experimental treatment for patients suffering from treatment-refractory Obsessive Compulsive Disorder (OCD). The effects of treatment are typically assessed with psychopathological scales that measure the amount of symptoms. However, clinical experience indicates that the effects of DBS are not limited to symptoms only: patients for instance report changes in perception, feeling stronger and more confident, and doing things unreflectively. Our aim is to get a better overview of the whole variety of changes (...)
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  19. Deep Learning-Based Speech and Vision Synthesis to Improve Phishing Attack Detection through a Multi-layer Adaptive Framework.Tosin ige, Christopher Kiekintveld & Aritran Piplai - forthcoming - Proceedings of the IEEE:8.
    The ever-evolving ways attacker continues to improve their phishing techniques to bypass existing state-of-the-art phishing detection methods pose a mountain of challenges to researchers in both industry and academia research due to the inability of current approaches to detect complex phishing attack. Thus, current anti-phishing methods remain vulnerable to complex phishing because of the increasingly sophistication tactics adopted by attacker coupled with the rate at which new tactics are being developed to evade detection. In this research, we proposed an adaptable (...)
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  20. Deep Adaptation: Navigating the Realities of Climate Chaos.Jem Bendell & Rupert Read (eds.) - 2021 - Cambridge, UK & Medford, MA: Polity Press.
    Deep adaptation’ refers to the personal and collective changes that might help us to prepare for – and live with – a climate-influenced breakdown or collapse of our societies. It is a framework for responding to the terrifying realization of increasing disruption by committing ourselves to reducing suffering while saving more of society and the natural world. This is the first book to show how professionals across different sectors are beginning to incorporate the acceptance of likely or unfolding societal (...)
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  21. Deep Ecology, the Radical Enlightment, and Ecological Civilization.Arran Gare - 2014 - The Trumpeter 30 (2):184-205.
    With the early success of the deep ecology movement in attracting adherents and with the increasing threat of a global ecological catastrophe, one would have expected this movement to have triumphed. We should be in the process of radically transforming society to create a harmonious relationship between humans and the rest of nature. Instead, deep ecology has been marginalized. What has triumphed instead is an alliance of managerialism, transnational corporations and neo-liberalism committed to replacing communities with markets and (...)
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  22. The phenomenology of Deep Brain Stimulation-induced changes in Obsessive-Compulsive Disorder patients: An enactive affordance-based model.Sanneke de Haan, Erik Rietveld, Martin Stokhof & Damiaan Denys - 2013 - Frontiers in Human Neuroscience 7:1-14.
    People suffering from Obsessive-Compulsive Disorder (OCD) do things they do not want to do, and/or they think things they do not want to think. In about 10 percent of OCD patients, none of the available treatment options is effective. A small group of these patients is currently being treated with deep brain stimulation (DBS). Deep brain stimulation involves the implantation of electrodes in the brain. These electrodes give a continuous electrical pulse to the brain area in which they (...)
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  23. Courageous Arguments and Deep Disagreements.Andrew Aberdein - 2019 - Topoi 40 (5):1205-1212.
    Deep disagreements are characteristically resistant to rational resolution. This paper explores the contribution a virtue theoretic approach to argumentation can make towards settling the practical matter of what to do when confronted with apparent deep disagreement, with particular attention to the virtue of courage.
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  24. Deep Disagreement, Hinge Commitments, and Intellectual Humility.Drew Johnson - 2022 - Episteme 19 (3):353-372.
    Why is it that some instances of disagreement appear to be so intractable? And what is the appropriate way to handle such disagreements, especially concerning matters about which there are important practical and political needs for us to come to a consensus? In this paper, I consider an explanation of the apparent intractability of deep disagreement offered by hinge epistemology. According to this explanation, at least some deep disagreements are rationally unresolvable because they concern ‘hinge’ commitments that are (...)
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  25. Deep brain stimulation and revising the Mental Health Act: the case for intervention-specific safeguards.Jonathan Pugh, Tipu Aziz, Jonathan Herring & Julian Savulescu - forthcoming - British Journal of Psychiatry.
    Under the current Mental Health Act of England and Wales, it is lawful to perform deep brain stimulation in the absence of consent and independent approval. We argue against the Care Quality Commission's preferred strategy of addressing this problematic issue, and offer recommendations for deep brain stimulation-specific provisions in a revised Mental Health Act.
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  26. Deep Epistemic Vices.Ian James Kidd - 2018 - Journal of Philosophical Research 43:43-67..
    Although the discipline of vice epistemology is only a decade old, the broader project of studying epistemic vices and failings is much older. This paper argues that contemporary vice epistemologists ought to engage more closely with these earlier projects. After sketching some general arguments in section one, I then turn to deep epistemic vices: ones whose identity and intelligibility depends on some underlying conception of human nature or the nature of reality. The final section then offers a case study (...)
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  27. Deep Disagreements on Social and Political Justice: Their Meta-Ethical Relevance and the Need for a New Research Perspective.Manuel Dr Knoll - 2019 - In Manuel Dr Knoll, Stephen Snyder & Nurdane Şimşek (eds.), New Perspectives on Distributive Justice: Deep Disagreements, Pluralism, and the Problem of Consensus. Boston: De Gruyter. pp. 23-51.
    This article starts off with a historical section showing that deep disagreements among notions of social and political justice are a characteristic feature of the history of political thought. Since no agreement or consensus on distributive justice is possible, the article argues that political philosophers should – instead of continuously proposing new normative theories of justice – focus on analyzing the reasons, significance, and consequences of such kinds of disagreements. The next two sections are analytical. The first sketches five (...)
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  28. Can Deep CNNs Avoid Infinite Regress/Circularity in Content Constitution?Jesse Lopes - 2023 - Minds and Machines 33 (3):507-524.
    The representations of deep convolutional neural networks (CNNs) are formed from generalizing similarities and abstracting from differences in the manner of the empiricist theory of abstraction (Buckner, Synthese 195:5339–5372, 2018). The empiricist theory of abstraction is well understood to entail infinite regress and circularity in content constitution (Husserl, Logical Investigations. Routledge, 2001). This paper argues these entailments hold a fortiori for deep CNNs. Two theses result: deep CNNs require supplementation by Quine’s “apparatus of identity and quantification” in (...)
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  29. Is deep ecology inapplicable in African context: a conversation with Fainos Mangena.Diana-Abasi Ibanga - 2017 - Filosofia Theoretica: Journal of African Philosophy, Culture and Religions 6 (2):101-119.
    In 2015, Fainos Mangena published an essay entitled “How Applicable is the Idea of Deep Ecology in the African Context?” where he presented a number of arguments to support his thesis that deep ecology as discussed in the West has no place in the African context. Mangena later presented a counter-version of deep ecology that he claims is based on African philosophy. In this paper, I interrogated Mangena’s arguments for rejecting deep ecology and found that they (...)
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  30. Potato Classification Using Deep Learning.Abeer A. Elsharif, Ibtesam M. Dheir, Alaa Soliman Abu Mettleq & Samy S. Abu-Naser - 2020 - International Journal of Academic Pedagogical Research (IJAPR) 3 (12):1-8.
    Abstract: Potatoes are edible tubers, available worldwide and all year long. They are relatively cheap to grow, rich in nutrients, and they can make a delicious treat. The humble potato has fallen in popularity in recent years, due to the interest in low-carb foods. However, the fiber, vitamins, minerals, and phytochemicals it provides can help ward off disease and benefit human health. They are an important staple food in many countries around the world. There are an estimated 200 varieties of (...)
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  31.  98
    Deep personal relationships, value, merit, and change.Brad Hooker - 2022 - Ratio 35 (4):344-351.
    A paper of Roger Crisp’s four years ago contained arguments that seemed to imply that having deep personal relationships does not constitute an element of well‐being. The lesson to draw from that paper of Crisp’s, according to a recent journal article of mine, is that one’s having a deep personal relationship does constitute an element of one’s well‐being on condition that one’s affection for the other person is merited. Crisp’s paper earlier in this issue of Ratio responds to (...)
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  32. Lemon Classification Using Deep Learning.Jawad Yousif AlZamily & Samy Salim Abu Naser - 2020 - International Journal of Academic Pedagogical Research (IJAPR) 3 (12):16-20.
    Abstract : Background: Vegetable agriculture is very important to human continued existence and remains a key driver of many economies worldwide, especially in underdeveloped and developing economies. Objectives: There is an increasing demand for food and cash crops, due to the increasing in world population and the challenges enforced by climate modifications, there is an urgent need to increase plant production while reducing costs. Methods: In this paper, Lemon classification approach is presented with a dataset that contains approximately 2,000 images (...)
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  33. Deep Vegetarianism.Michael Allen Fox - 1999 - Philadelphia: Temple University Press.
    Challenging the basic assumptions of a meat-eating society, Deep Vegetarianism is a spirited and compelling defense of a vegetarian lifestyle. Considering all of the major arguments both for and against vegetarianism and the habits of meat-eaters, vegetarians, and vegans alike, Michael Allen Fox addresses vegetarianism's cultural, historical, and philosophical background; details vegetarianism's impact on one's living and thinking; and relates vegetarianism to classical and recent defenses of the moral status of animals. Demonstrating how a vegetarian diet is related to (...)
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  34. Whence deep realism for Everettian quantum mechanics?Raoni Wohnrath Arroyo & Jonas R. Becker Arenhart - 2022 - Foundations of Physics 52 (6):121.
    ‘Shallow’ and ‘deep’ versions of scientific realism may be distinguished as follows: the shallow realist is satisfied with belief in the existence of the posits of our best scientific theories; by contrast, deep realists claim that realism can be legitimate only if such entities are described in metaphysical terms. We argue that this methodological discussion can be fruitfully applied in Everettian quantum mechanics, specifically on the debate concerning the existence of worlds and the recent dispute between Everettian actualism (...)
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  35. Skeptical Arguments and Deep Disagreement.Guido Melchior - 2023 - Erkenntnis 88 (5):1869-1893.
    This paper provides a reinterpretation of some of the most influential skeptical arguments, Agrippa’s trilemma, meta-regress arguments, and Cartesian external world skepticism. These skeptical arguments are reasonably regarded as unsound arguments about the extent of our knowledge. However, reinterpretations of these arguments tell us something significant about the preconditions and limits of persuasive argumentation. These results contribute to the ongoing debates about the nature and resolvability of deep disagreement. The variety of skeptical arguments shows that we must distinguish different (...)
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  36. Diagnosis of Pneumonia Using Deep Learning.Alaa M. A. Barhoom & Samy S. Abu-Naser - 2022 - International Journal of Academic Engineering Research (IJAER) 6 (2):48-68.
    Artificial intelligence (AI) is an area of computer science that emphasizes the creation of intelligent machines or software that work and react like humans. Some of the activities computers with artificial intelligence are designed for include, Speech, recognition, Learning, Planning and Problem solving. Deep learning is a collection of algorithms used in machine learning, It is part of a broad family of methods used for machine learning that are based on learning representations of data. Deep learning is a (...)
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  37. Some ethics of deep brain stimulation.Joshua August Skorburg & Walter Sinnott Armstrong - 2020 - In Dan Stein & Ilina Singh (eds.), Global Mental Health and Neuroethics. Elsevier. pp. 117-132.
    Case reports about patients undergoing Deep Brain Stimulation (DBS) for various motor and psychiatric disorders - including Parkinson’s Disease, Obsessive Compulsive Disorder, and Treatment Resistant Depression - have sparked a vast literature in neuroethics. Questions about whether and how DBS changes the self have been at the fore. The present chapter brings these neuroethical debates into conversation with recent research in moral psychology. We begin in Section 1 by reviewing the recent clinical literature on DBS. In Section 2, we (...)
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  38. Deep Desires.David Mcpherson - 2019 - Religious Studies 55 (3):389-403.
    This article seeks to get clear on an important feature of a theistic way of life: namely, the appeal to ‘deep desires’ as part of an ethical and spiritual life-orientation. My main thesis is that such appeals should primarily be seen as pertaining to our acquired second nature and the space of meaning it makes possible, rather than first nature or innateness. To appeal to the ‘depth’ of a desire, on this account, is to say something about its normative (...)
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  39. High hopes for “Deep Medicine”? AI, economics, and the future of care.Robert Sparrow & Joshua Hatherley - 2020 - Hastings Center Report 50 (1):14-17.
    In Deep Medicine, Eric Topol argues that the development of artificial intelligence (AI) for healthcare will lead to a dramatic shift in the culture and practice of medicine. Topol claims that, rather than replacing physicians, AI could function alongside of them in order to allow them to devote more of their time to face-to-face patient care. Unfortunately, these high hopes for AI-enhanced medicine fail to appreciate a number of factors that, we believe, suggest a radically different picture for the (...)
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  40. Outsourcing the deep self: Deep self discordance does not explain away intuitions in manipulation arguments.Gunnar Björnsson - 2016 - Philosophical Psychology 29 (5):637-653.
    According to manipulation arguments for incompatibilism, manipulation might undermine an agent’s responsibility even when the agent satisfies plausible compatibilist conditions on responsibility. According to Sripada, however, empirical data suggest that people take manipulation to undermine responsibility largely because they think that the manipulated act is in discord with the agent’s “deep self,” thus violating the plausible compatibilist condition of deep self concordance. This paper defends Sripada’s general methodological approach but presents data that strongly suggest that, contrary to Sripada’s (...)
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  41. Arrogance and deep disagreement.Andrew Aberdein - 2021 - In Alessandra Tanesini & Michael P. Lynch (eds.), Polarisation, Arrogance, and Dogmatism: Philosophical Perspectives. London, UK: Routledge. pp. 39-52.
    I intend to bring recent work applying virtue theory to the study of argument to bear on a much older problem, that of disagreements that resist rational resolution, sometimes termed "deep disagreements". Just as some virtue epistemologists have lately shifted focus onto epistemic vices, I shall argue that a renewed focus on the vices of argument can help to illuminate deep disagreements. In particular, I address the role of arrogance, both as a factor in the diagnosis of (...) disagreements and as an obstacle to their mutually acceptable resolution. Arrogant arguers are likely to make any disagreements to which they are party seem deeper than they really are and arrogance impedes the strategies that we might adopt to resolve deep disagreements. As a case in point, since arrogant or otherwise vicious arguers cannot be trusted not to exploit such strategies for untoward ends, any policy for deep disagreement amelioration must require particularly close attention to the vices of argument, lest they be exploited by the unscrupulous. (shrink)
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  42.  75
    Forest Fire Detection using Deep Leaning.Mosa M. M. Megdad & Samy S. Abu-Naser - 2024 - International Journal of Academic Information Systems Research (IJAISR) 8 (4):59-65.
    Abstract: Forests are areas with a high density of trees, and they play a vital role in the health of the planet. They provide a habitat for a wide variety of plant and animal species, and they help to regulate the climate by absorbing carbon dioxide from the atmosphere. While in 2010, the world had 3.92Gha of forest cover, covering 30% of its land area, in 2019, there was a loss of forest cover of 24.2Mha according to the Global Forest (...)
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  43. Testing Sripada's Deep Self model.Florian Cova & Hichem Naar - 2012 - Philosophical Psychology 25 (5):647 - 659.
    Sripada has recently advanced a new account for asymmetries that have been uncovered in folk judgments of intentionality: the ?Deep Self model,? according to which an action is more likely to be judged as intentional if it matches the agent's central and stable attitudes and values (i.e., the agent's Deep Self). In this paper, we present new experiments that challenge this model in two ways: first, we show that the Deep Self model makes predictions that are falsified, (...)
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  44. Deep Uncertainties in the Criteria for Physician Aid-in-Dying for Psychiatric Patients.Piotr Grzegorz Nowak & Tomasz Żuradzki - 2019 - American Journal of Bioethics 19 (10):54-56.
    In their insightful article, Brent Kious and Margaret Battin (2019) correctly identify an inconsistency between an involuntary psychiatric commitment for suicide prevention and physician aid in dying (PAD). They declare that it may be possible to resolve the problem by articulating “objective standards for evaluating the severity of others’ suffering,” but ultimately they admit that this task is beyond the scope of their article since the solution depends on “a deep and difficult” question about comparing the worseness of two (...)
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  45.  61
    Fish Classification Using Deep Learning.M. N. Ayyad & Samy S. Abu-Naser - 2024 - International Journal of Academic Information Systems Research (IJAISR) 8 (4):51-58.
    Abstract: Fish are important for both nutritional and economic reasons. They are a good source of protein, vitamins, and minerals and play a significant role in human diets, especially in coastal and island communities. In addition, fishing and fish farming are major industries that provide employment and income for millions of people worldwide. Moreover, fish play a critical role in marine ecosystems, serving as prey for larger predators and helping to maintain the balance of aquatic food chains. Overall, fish play (...)
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  46. Deep Platonism.Chad Carmichael - 2016 - Philosophy and Phenomenological Research 92 (2):307-328.
    According to the traditional bundle theory, particulars are bundles of compresent universals. I think we should reject the bundle theory for a variety of reasons. But I will argue for the thesis at the core of the bundle theory: that all the facts about particulars are grounded in facts about universals. I begin by showing how to meet the main objection to this thesis (which is also the main objection to the bundle theory): that it is inconsistent with the possibility (...)
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  47. The Methodological Usefulness of Deep Disagreement.Steven W. Patterson - 2015 - Cogency: Journal of Reasoning and Argumentation 6 (2).
    In this paper I begin by examining Fogelin’s account of deep disagreement. My contention is that this account is so deeply flawed as to cast doubt on the possibility that such deep disagreements actually happen. Nevertheless, I contend that the notion of deep disagreement itself is a useful theoretical foil for thinking about argumentation. The second part of this paper makes this case by showing how thinking about deep disagreements from the perspective of rhetoric, Walton-style argumentation (...)
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  48. The self in deep ecology: A response to Watson.Joshua Anderson - 2020 - Asian Philosophy 30 (1):30-39.
    Richard Watson maintains that deep ecology suffers from an internal contradiction and should therefore be rejected. Watson contends that deep ecology claims to be non-anthropocentric while at the same time is committed to setting humans apart from nature, which is inherently anthropocentric. I argue that Watson’s objection arises out of a fundamental misunderstanding of how deep ecologist’s conceive of the ‘Self.’ Drawing on resources from Buddhism, I offer an understanding of the ‘Self’ that is fully consistent with (...)
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  49. Demystifying the Deep Self View.August Gorman - 2022 - Journal of Moral Philosophy 19 (4):390-414.
    Deep Self views of moral responsibility have been criticized for positing mysterious concepts, making nearly paradoxical claims about the ownership of one’s mental states, and promoting self-deceptive moral evasion. I defend Deep Self views from these pervasive forms of skepticism by arguing that some criticism is hasty and stems from epistemic injustice regarding testimonies of experiences of alienation, while other criticism targets contingent features of Deep Self views that ought to be abandoned. To aid in this project, (...)
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  50. On the Pragmatics of Deep Disagreement.Matthew Shields - 2018 - Topoi (5):999-1015.
    In this paper, I present two tools that help shed light on deep disagreements and their epistemological consequences. First, I argue that we are best off construing deep disagreements as disagreements over conflicting understandings of certain concepts. More specifically, I suggest that deep disagreements are disagreements over how to understand concepts that play what Michael Friedman calls a “constitutive” role for speakers. Second, I argue that we need a better understanding of what speakers are doing when they (...)
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