Results for 'Winona C. Barker'

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  1. The Protein Ontology: A structured representation of protein forms and complexes.Darren Natale, Cecilia N. Arighi, Winona C. Barker, Judith A. Blake, Carol J. Bult, Michael Caudy, Harold J. Drabkin, Peter D’Eustachio, Alexei V. Evsikov, Hongzhan Huang, Jules Nchoutmboube, Natalia V. Roberts, Barry Smith, Jian Zhang & Cathy H. Wu - 2011 - Nucleic Acids Research 39 (1):D539-D545.
    The Protein Ontology (PRO) provides a formal, logically-based classification of specific protein classes including structured representations of protein isoforms, variants and modified forms. Initially focused on proteins found in human, mouse and Escherichia coli, PRO now includes representations of protein complexes. The PRO Consortium works in concert with the developers of other biomedical ontologies and protein knowledge bases to provide the ability to formally organize and integrate representations of precise protein forms so as to enhance accessibility to results of protein (...)
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  2. Framework for a protein ontology.Darren A. Natale, Cecilia N. Arighi, Winona Barker, Judith Blake, Ti-Cheng Chang, Zhangzhi Hu, Hongfang Liu, Barry Smith & Cathy H. Wu - 2007 - BMC Bioinformatics 8 (Suppl 9):S1.
    Biomedical ontologies are emerging as critical tools in genomic and proteomic research where complex data in disparate resources need to be integrated. A number of ontologies exist that describe the properties that can be attributed to proteins; for example, protein functions are described by Gene Ontology, while human diseases are described by Disease Ontology. There is, however, a gap in the current set of ontologies—one that describes the protein entities themselves and their relationships. We have designed a PRotein Ontology (PRO) (...)
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  3. Functional diversity: An epistemic roadmap.Christophe Malaterre, Antoine C. Dussault, Sophia Rousseau-Mermans, Gillian Barker, Beatrix E. Beisner, Frédéric Bouchard, Eric Desjardins, Tanya I. Handa, Steven W. Kembel, Geneviève Lajoie, Virginie Maris, Alison D. Munson, Jay Odenbaugh, Timothée Poisot, B. Jesse Shapiro & Curtis A. Suttle - 2019 - BioScience 10 (69):800-811.
    Functional diversity holds the promise of understanding ecosystems in ways unattainable by taxonomic diversity studies. Underlying this promise is the intuition that investigating the diversity of what organisms actually do—i.e. their functional traits—within ecosystems will generate more reliable insights into the ways these ecosystems behave, compared to considering only species diversity. But this promise also rests on several conceptual and methodological—i.e. epistemic—assumptions that cut across various theories and domains of ecology. These assumptions should be clearly addressed, notably for the sake (...)
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  4. TGF-beta signaling proteins and the Protein Ontology.Arighi Cecilia, Liu Hongfang, Natale Darren, Barker Winona, Drabkin Harold, Blake Judith, Barry Smith & Wu Cathy - 2009 - BMC Bioinformatics 10 (Suppl 5):S3.
    The Protein Ontology (PRO) is designed as a formal and principled Open Biomedical Ontologies (OBO) Foundry ontology for proteins. The components of PRO extend from a classification of proteins on the basis of evolutionary relationships at the homeomorphic level to the representation of the multiple protein forms of a gene, including those resulting from alternative splicing, cleavage and/or posttranslational modifications. Focusing specifically on the TGF-beta signaling proteins, we describe the building, curation, usage and dissemination of PRO. PRO provides a framework (...)
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  5. Letter Regarding Canada's Bill C-7, Medical Assistance in Dying (MAID) and Disability.Robert A. Wilson & Matthew J. Barker - manuscript
    This letter was submitted to the Senate Standing Committee on Legal and Constitutional Affairs, Government of Canada, on 29th January, 2021, as final debate over Bill C-7 was being undertaken in the Senate regarding MAiD and the strong opposition to the legislation expressed across the Canadian disability community. It draws on our individual and joint work on eugenics, well-being, and disability.
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  6. Can Counterfactuals Really Be about Possible Worlds?Stephen Barker - 2011 - Noûs 45 (3):557-576.
    The standard view about counterfactuals is that a counterfactual (A > C) is true if and only if the A-worlds most similar to the actual world @ are C-worlds. I argue that the worlds conception of counterfactuals is wrong. I assume that counterfactuals have non-trivial truth-values under physical determinism. I show that the possible-worlds approach cannot explain many embeddings of the form (P > (Q > R)), which intuitively are perfectly assertable, and which must be true if the contingent falsity (...)
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  7. Biological explanations, realism, ontology, and categories.Matthew J. Barker - 2013 - Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences 44 (4):617-622.
    This is an extended review of John Dupré's _Processes of Life_, a collection of essays. It clarifies Dupré's concepts of reductionism and anti-reductionism, and critically examines his associated discussions of downward causation, and both the context sensitivity and multiple realization of categories. It reviews his naturalistic monism, and critically distinguishes between his realism about categories and constructivism about classification. Challenges to his process ontology are presented, as are arguments for his pluralism about scientific categories. None of his main conclusions are (...)
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  8. Against Conventional Wisdom.Alexander W. Kocurek, Ethan Jerzak & Rachel Etta Rudolph - 2020 - Philosophers' Imprint 20 (22):1-27.
    Conventional wisdom has it that truth is always evaluated using our actual linguistic conventions, even when considering counterfactual scenarios in which different conventions are adopted. This principle has been invoked in a number of philosophical arguments, including Kripke’s defense of the necessity of identity and Lewy’s objection to modal conventionalism. But it is false. It fails in the presence of what Einheuser (2006) calls c-monsters, or convention-shifting expressions (on analogy with Kaplan’s monsters, or context-shifting expressions). We show that c-monsters naturally (...)
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  9. Ethics of Artificial Intelligence and Robotics.Vincent C. Müller - 2020 - In Edward N. Zalta, Stanford Encylopedia of Philosophy. pp. 1-70.
    Artificial intelligence (AI) and robotics are digital technologies that will have significant impact on the development of humanity in the near future. They have raised fundamental questions about what we should do with these systems, what the systems themselves should do, what risks they involve, and how we can control these. - After the Introduction to the field (§1), the main themes (§2) of this article are: Ethical issues that arise with AI systems as objects, i.e., tools made and used (...)
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  10. 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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  11. (1 other version)Future progress in artificial intelligence: A survey of expert opinion.Vincent C. Müller & Nick Bostrom - 2016 - In Vincent C. Müller, Fundamental Issues of Artificial Intelligence. Cham: Springer. pp. 553-571.
    There is, in some quarters, concern about high–level machine intelligence and superintelligent AI coming up in a few decades, bringing with it significant risks for humanity. In other quarters, these issues are ignored or considered science fiction. We wanted to clarify what the distribution of opinions actually is, what probability the best experts currently assign to high–level machine intelligence coming up within a particular time–frame, which risks they see with that development, and how fast they see these developing. We thus (...)
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  12. Monism and Material Constitution.Stephen Barker & Mark Jago - 2014 - Pacific Philosophical Quarterly 95 (1):189-204.
    Are the sculpture and the mass of gold which permanently makes it up one object or two? In this article, we argue that the monist, who answers ‘one object’, cannot accommodate the asymmetry of material constitution. To say ‘the mass of gold materially constitutes the sculpture, whereas the sculpture does not materially constitute the mass of gold’, the monist must treat ‘materially constitutes’ as an Abelardian predicate, whose denotation is sensitive to the linguistic context in which it appears. We motivate (...)
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  13. Is it time for robot rights? Moral status in artificial entities.Vincent C. Müller - 2021 - Ethics and Information Technology 23 (3):579–587.
    Some authors have recently suggested that it is time to consider rights for robots. These suggestions are based on the claim that the question of robot rights should not depend on a standard set of conditions for ‘moral status’; but instead, the question is to be framed in a new way, by rejecting the is/ought distinction, making a relational turn, or assuming a methodological behaviourism. We try to clarify these suggestions and to show their highly problematic consequences. While we find (...)
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  14. Existential risk from AI and orthogonality: Can we have it both ways?Vincent C. Müller & Michael Cannon - 2021 - Ratio 35 (1):25-36.
    The standard argument to the conclusion that artificial intelligence (AI) constitutes an existential risk for the human species uses two premises: (1) AI may reach superintelligent levels, at which point we humans lose control (the ‘singularity claim’); (2) Any level of intelligence can go along with any goal (the ‘orthogonality thesis’). We find that the singularity claim requires a notion of ‘general intelligence’, while the orthogonality thesis requires a notion of ‘instrumental intelligence’. If this interpretation is correct, they cannot be (...)
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  15. (Regrettably) Abortion remains immoral: The impairment argument defended.Perry C. Hendricks - 2019 - Bioethics 33 (8):968-969.
    In my article "Even if the fetus is not a person, abortion is immoral: The impairment argument" (this journal), I defended what I called “The impairment argument” which purports to show that abortion is immoral. Bruce Blackshaw (2019) has argued that my argument fails on three accounts. In this article, I respond to his criticisms.
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  16. Autonomous killer robots are probably good news.Vincent C. Müller - 2016 - In Ezio Di Nucci & Filippo Santoni de Sio, Drones and Responsibility: Legal, Philosophical and Socio-Technical Perspectives on the Use of Remotely Controlled Weapons. Routledge. pp. 67-81.
    Will future lethal autonomous weapon systems (LAWS), or ‘killer robots’, be a threat to humanity? The European Parliament has called for a moratorium or ban of LAWS; the ‘Contracting Parties to the Geneva Convention at the United Nations’ are presently discussing such a ban, which is supported by the great majority of writers and campaigners on the issue. However, the main arguments in favour of a ban are unsound. LAWS do not support extrajudicial killings, they do not take responsibility away (...)
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  17. Colloquium 1: Theophrastus on Intellect in Aristotle’s De Anima.Bryan C. Reece - 2024 - Proceedings of the Boston Area Colloquium of Ancient Philosophy 38 (1):1-27.
    Aristotle’s cryptic De Anima III 5 has precipitated an enormous volume of commentary, especially about the identity of what has come to be known as active intellect and how it relates to potential intellect. Some take active intellect to be the prime mover of Metaphysics Λ, others a hypostatic or cosmic principle (for example, an ideal Intellect, intellect associated with the tenth celestial sphere, etc.), and others a faculty, potentiality, or power of the human soul that is distinct in function, (...)
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  18. Aristotle on Divine and Human Contemplation.Bryan C. Reece - 2020 - Ergo: An Open Access Journal of Philosophy 7:131–160.
    Aristotle’s theory of human happiness in the Nicomachean Ethics explicitly depends on the claim that contemplation (theôria) is peculiar to human beings, whether it is our function or only part of it. But there is a notorious problem: Aristotle says that divine beings also contemplate. Various solutions have been proposed, but each has difficulties. Drawing on an analysis of what divine contemplation involves according to Aristotle, I identify an assumption common to all of these proposals and argue for rejecting it. (...)
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  19. Aristotle's Four Causes of Action.Bryan C. Reece - 2018 - Australasian Journal of Philosophy 97 (2):213-227.
    Aristotle’s typical procedure is to identify something's four causes. Intentional action has typically been treated as an exception: most think that Aristotle has the standard causalist account, according to which an intentional action is a bodily movement efficiently caused by an attitude of the appropriate sort. I show that action is not an exception to Aristotle’s typical procedure: he has the resources to specify four causes of action, and thus to articulate a powerful theory of action unlike any other on (...)
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  20. How to think about higher‐level perceptual contents.Daniel C. Burnston - 2023 - Mind and Language 38 (5):1166-1186.
    The standard assumption for what perception must do in order to represent a “higher level” content—say, tiger—is that it must represent the kind as such. I argue that this “as such condition” is not constitutive of what it means for a content to be “higher‐level”, and that embracing it produces a range of unfortunate dialectical consequences. After offering this critique, I give an alternative construal, the “extended perceptual space” view of higher‐level contents. This view captures the phenomena targeted by the (...)
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  21. New developments in the philosophy of AI.Vincent C. Müller - 2016 - In Vincent C. Müller, Fundamental Issues of Artificial Intelligence. Cham: Springer.
    The philosophy of AI has seen some changes, in particular: 1) AI moves away from cognitive science, and 2) the long term risks of AI now appear to be a worthy concern. In this context, the classical central concerns – such as the relation of cognition and computation, embodiment, intelligence & rationality, and information – will regain urgency.
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  22. Can we learn from hidden mistakes? Self-fulfilling prophecy and responsible neuroprognostic innovation.Mayli Mertens, Owen C. King, Michel J. A. M. van Putten & Marianne Boenink - 2021 - Journal of Medical Ethics 48 (11):922-928.
    A self-fulfilling prophecy in neuroprognostication occurs when a patient in coma is predicted to have a poor outcome, and life-sustaining treatment is withdrawn on the basis of that prediction, thus directly bringing about a poor outcome for that patient. In contrast to the predominant emphasis in the bioethics literature, we look beyond the moral issues raised by the possibility that an erroneous prediction might lead to the death of a patient who otherwise would have lived. Instead, we focus on the (...)
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  23. The Current State of Medical School Education in Bioethics, Health Law, and Health Economics.Govind C. Persad, Linden Elder, Laura Sedig, Leonardo Flores & Ezekiel J. Emanuel - 2008 - Journal of Law, Medicine and Ethics 36 (1):89-94.
    Current challenges in medical practice, research, and administration demand physicians who are familiar with bioethics, health law, and health economics. Curriculum directors at American Association of Medical Colleges-affiliated medical schools were sent confidential surveys requesting the number of required hours of the above subjects and the years in which they were taught, as well as instructor names. The number of relevant publications since 1990 for each named instructor was assessed by a PubMed search.In sum, teaching in all three subjects combined (...)
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  24. Pancomputationalism: Theory or metaphor?Vincent C. Müller - 2014 - In Ruth Hagenbruger & Uwe V. Riss, Philosophy, computing and information science. Pickering & Chattoo. pp. 213-221.
    The theory that all processes in the universe are computational is attractive in its promise to provide an understandable theory of everything. I want to suggest here that this pancomputationalism is not sufficiently clear on which problem it is trying to solve, and how. I propose two interpretations of pancomputationalism as a theory: I) the world is a computer and II) the world can be described as a computer. The first implies a thesis of supervenience of the physical over computation (...)
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  25. Skeptical Theism and the 'Too-Much-Skepticism' Objection.Michael C. Rea - 2014 - In Justin P. McBrayer & Daniel Howard-Snyder, The Blackwell Companion to The Problem of Evil. Wiley. pp. 482-506.
    In the first section, I characterize skeptical theism more fully. This is necessary in order to address some important misconceptions and mischaracterizations that appear in the essays by Maitzen, Wilks, and O’Connor. In the second section, I describe the most important objections they raise and group them into four “families” so as to facilitate an orderly series of responses. In the four sections that follow, I respond to the objections.
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  26. (2 other versions)Perceptual Integration, Modularity, and Cognitive Penetration.Daniel C. Burnston & Jonathan Cohen - 2015 - In John Zeimbekis & Athanassios Raftopoulos, The Cognitive Penetrability of Perception: New Philosophical Perspectives. Oxford: Oxford University Press.
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  27. OBO Foundry in 2021: Operationalizing Open Data Principles to Evaluate Ontologies.Rebecca C. Jackson, Nicolas Matentzoglu, James A. Overton, Randi Vita, James P. Balhoff, Pier Luigi Buttigieg, Seth Carbon, Melanie Courtot, Alexander D. Diehl, Damion Dooley, William Duncan, Nomi L. Harris, Melissa A. Haendel, Suzanna E. Lewis, Darren A. Natale, David Osumi-Sutherland, Alan Ruttenberg, Lynn M. Schriml, Barry Smith, Christian J. Stoeckert, Nicole A. Vasilevsky, Ramona L. Walls, Jie Zheng, Christopher J. Mungall & Bjoern Peters - 2021 - BioaRxiv.
    Biological ontologies are used to organize, curate, and interpret the vast quantities of data arising from biological experiments. While this works well when using a single ontology, integrating multiple ontologies can be problematic, as they are developed independently, which can lead to incompatibilities. The Open Biological and Biomedical Ontologies Foundry was created to address this by facilitating the development, harmonization, application, and sharing of ontologies, guided by a set of overarching principles. One challenge in reaching these goals was that the (...)
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  28. The Space Domain Ontologies.Alexander P. Cox, C. K. Nebelecky, R. Rudnicki, W. A. Tagliaferri, J. L. Crassidis & B. Smith - 2021 - In Alexander P. Cox, C. K. Nebelecky, R. Rudnicki, W. A. Tagliaferri, J. L. Crassidis & B. Smith, National Symposium on Sensor & Data Fusion Committee.
    Achieving space situational awareness requires, at a minimum, the identification, characterization, and tracking of space objects. Leveraging the resultant space object data for purposes such as hostile threat assessment, object identification, and conjunction assessment presents major challenges. This is in part because in characterizing space objects we reference a variety of identifiers, components, subsystems, capabilities, vulnerabilities, origins, missions, orbital elements, patterns of life, operational processes, operational statuses, and so forth, which tend to be defined in highly heterogeneous and sometimes inconsistent (...)
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  29. The history of digital ethics.Vincent C. Müller - 2021 - In Carissa Véliz, The Oxford Handbook of Digital Ethics. Oxford University Press.
    Digital ethics, also known as computer ethics or information ethics, is now a lively field that draws a lot of attention, but how did it come about and what were the developments that lead to its existence? What are the traditions, the concerns, the technological and social developments that pushed digital ethics? How did ethical issues change with digitalisation of human life? How did the traditional discipline of philosophy respond? The article provides an overview, proposing historical epochs: ‘pre-modernity’ prior to (...)
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  30. Representation in digital systems.Vincent C. Müller - 2008 - In P. Brey, A. Briggle & K. Waelbers, Current Issues in Computing and Philosophy. IOS Press. pp. 116-121.
    Cognition is commonly taken to be computational manipulation of representations. These representations are assumed to be digital, but it is not usually specified what that means and what relevance it has for the theory. I propose a specification for being a digital state in a digital system, especially a digital computational system. The specification shows that identification of digital states requires functional directedness, either for someone or for the system of which it is a part. In the case or digital (...)
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  31. The Emperor's New Metaphysics of Powers.Stephen Barker - 2013 - Mind 122 (487):605-653.
    This paper argues that the new metaphysics of powers, also known as dispositional essentialism or causal structuralism, is an illusory metaphysics. I argue for this in the following way. I begin by distinguishing three fundamental ways of seeing how facts of physical modality — facts about physical necessitation and possibility, causation, disposition, and chance — are grounded in the world. The first way, call it the first degree, is that the actual world or all worlds, in their entirety, are the (...)
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  32. Philosophy of AI: A structured overview.Vincent C. Müller - 2025 - In Nathalie A. Smuha, Cambridge handbook on the law, ethics and policy of Artificial Intelligence. Cambridge University Press. pp. 40-58.
    This paper presents the main topics, arguments, and positions in the philosophy of AI at present (excluding ethics). Apart from the basic concepts of intelligence and computation, the main topics of ar-tificial cognition are perception, action, meaning, rational choice, free will, consciousness, and normativity. Through a better understanding of these topics, the philosophy of AI contributes to our understand-ing of the nature, prospects, and value of AI. Furthermore, these topics can be understood more deeply through the discussion of AI; so (...)
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  33. Philosophie der Künstlichen Intelligenz: Ein strukturierter Überblick.Vincent C. Müller - 2024 - In Rainer Adolphi, Suzana Alpsancar, Susanne Hahn & Matthias Kettner, Philosophische Digitalisierungsforschung (I). Verantwortung, Verständigung, Vernunft, Macht. Bielefeld: transcript. pp. 345-370. Translated by Matthias Kettner.
    This paper presents the main topics, arguments, and positions in the philosophy of AI at present (excluding ethics). Apart from the basic concepts of intelligence and computation, the main topics of artificial cognition are perception, action, meaning, rational choice, free will, consciousness, and normativity. Through a better understanding of these topics, the philosophy of AI contributes to our understanding of the nature, prospects, and value of AI. Furthermore, these topics can be understood more deeply through the discussion of AI; so (...)
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  34. Advance Directives and Transformative Experience: Resilience in the Face of Change.Govind C. Persad - 2020 - American Journal of Bioethics 20 (8):69-71.
    In this commentary, I critique three aspects of Emily Walsh's proposal to reduce the moral and legal weight of advance directives: (1) the ambiguity of its initial thesis, (2) its views about the ethics and legality of clinical practice, and (3) its interpretation and application of Ronald Dworkin’s account of advance directives and L.A. Paul's view on transformative experience. I also consider what Walsh’s proposal would mean for people facing the prospect of dementia. I conclude that our reasons to honor (...)
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  35. Thinking Beyond Thinking: Junior High School Students’ Metacognitive Awareness and Conceptual Understanding of Integers.Janina C. Sercenia, Edwin Ibañez & Jupeth Pentang - 2023 - Mathematics Teaching-Research Journal 15 (1):4-24.
    The potential benefits of cognitive skills in enhancing mathematics ability have been claimed by numerous researchers. Since mathematics requires a complete understanding and grasp of abstract concepts, it is essential to explore how learning with metacognitive skills affects mathematics learning. Thus, the study investigates the students' metacognitive awareness and conceptual understanding of integers. A descriptive-correlational method approach was utilized, and it was carried out on 303 seventh-grade students. The data were obtained using a metacognitive awareness inventory and achievement test on (...)
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  36. Logical Maximalism in the Empirical Sciences.Constantin C. Brîncuș - 2021 - In Parusniková Zuzana & Merritt David, Karl Popper's Science and Philosophy. Cham, Switzerland: Springer. pp. 171-184.
    K. R. Popper distinguished between two main uses of logic, the demonstrational one, in mathematical proofs, and the derivational one, in the empirical sciences. These two uses are governed by the following methodological constraints: in mathematical proofs one ought to use minimal logical means (logical minimalism), while in the empirical sciences one ought to use the strongest available logic (logical maximalism). In this paper I discuss whether Popper’s critical rationalism is compatible with a revision of logic in the empirical sciences, (...)
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  37. Ethics of Artificial Intelligence.Vincent C. Müller - 2021 - In Anthony Elliott, The Routledge Social Science Handbook of Ai. Routledge. pp. 122-137.
    Artificial intelligence (AI) is a digital technology that will be of major importance for the development of humanity in the near future. AI has raised fundamental questions about what we should do with such systems, what the systems themselves should do, what risks they involve and how we can control these. - After the background to the field (1), this article introduces the main debates (2), first on ethical issues that arise with AI systems as objects, i.e. tools made and (...)
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  38. The Ultimate Argument Against Dispositional Monist Accounts of Laws.Stephen Barker & Benjamin Smart - 2012 - Analysis 72 (4):714-722.
    Bird argues that Armstrong’s necessitarian conception of physical modality and laws of nature generates a vicious regress with respect to necessitation. We show that precisely the same regress afflicts Bird’s dispositional-monist theory, and indeed, related views, such as that of Mumford & Anjum. We argue that dispositional monism is basically Armstrongian necessitarianism modified to allow for a thesis about property identity.
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  39. Divine Hiddenness, Divine Silence.Michael C. Rea - 1987 - In Louis P. Pojman, Philosophy of religion. Mountain View, Calif.: Mayfield. pp. 266-275.
    In the present article, he explains why divine silence poses a serious intellectual obstacle to belief in God, and then goes on to consider ways of overcoming that obstacle. After considering several ways in which divine silence might actually be beneficial to human beings, he argues that perhaps silence is nothing more or less than God’s preferred mode of interaction with creatures like us. Perhaps God simply desires communion rather than overt communication with human beings, and perhaps God has provided (...)
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  40. Naturalism and Moral Realism.Michael C. Rea - 2006 - In Thomas M. Crisp, Matthew Davidson & David Vander Laan, Knowledge and Reality: Essays in Honor of Alvin Plantinga. Dordrecht: Springer. pp. 215-242.
    My goal in this paper is to show that naturalists cannot reasonably endorse moral realism. My argument will come in two parts. The first part aims to show that any plausible and naturalistically acceptable argument in favor of belief in objective moral properties will appeal in part to simplicity considerations (broadly construed)—and this regardless of whether moral properties are reducible to non-moral properties. The second part argues for the conclusion that appeals to simplicity justify belief in moral properties only if (...)
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  41. Cohesion, Gene flow, and the Nature of Species.Matthew J. Barker & Robert A. Wilson - 2010 - Journal of Philosophy 107 (2):59-77.
    A far-reaching and influential view in evolutionary biology claims that species are cohesive units held together by gene flow. Biologists have recognized empirical problems facing this view; after sharpening the expression of the view, we present novel conceptual problems for it. At the heart of these problems is a distinction between two importantly different concepts of cohesion, what we call integrative and response cohesion. Acknowledging the distinction problematizes both the explanandum of species cohesion and the explanans of gene flow that (...)
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  42. Which symbol grounding problem should we try to solve?Vincent C. Müller - 2015 - Journal of Experimental & Theoretical Artificial Intelligence 27 (1):73-78.
    Floridi and Taddeo propose a condition of “zero semantic commitment” for solutions to the grounding problem, and a solution to it. I argue briefly that their condition cannot be fulfilled, not even by their own solution. After a look at Luc Steels' very different competing suggestion, I suggest that we need to re-think what the problem is and what role the ‘goals’ in a system play in formulating the problem. On the basis of a proper understanding of computing, I come (...)
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  43. What is a digital state?Vincent C. Müller - 2013 - In Mark J. Bishop & Yasemin Erden, The Scandal of Computation - What is Computation? - AISB Convention 2013. AISB. pp. 11-16.
    There is much discussion about whether the human mind is a computer, whether the human brain could be emulated on a computer, and whether at all physical entities are computers (pancomputationalism). These discussions, and others, require criteria for what is digital. I propose that a state is digital if and only if it is a token of a type that serves a particular function - typically a representational function for the system. This proposal is made on a syntactic level, assuming (...)
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  44. Editorial: Risks of general artificial intelligence.Vincent C. Müller - 2014 - Journal of Experimental and Theoretical Artificial Intelligence 26 (3):297-301.
    This is the editorial for a special volume of JETAI, featuring papers by Omohundro, Armstrong/Sotala/O’Heigeartaigh, T Goertzel, Brundage, Yampolskiy, B. Goertzel, Potapov/Rodinov, Kornai and Sandberg. - If the general intelligence of artificial systems were to surpass that of humans significantly, this would constitute a significant risk for humanity – so even if we estimate the probability of this event to be fairly low, it is necessary to think about it now. We need to estimate what progress we can expect, what (...)
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  45. How to be a Divine Topic.C. Naomi Osorio-Kupferblum - forthcoming - In Adriana Jesenková, Proceedings of the International Scientific Conference of the SPA at SAS "Philosophy as Transcending Boundaries".
    Divine names, i.e. the names religions use to speak of their god(s), pose a special problem to semantics. It is not only disputed whether they are proper names, descriptions, or names of kinds, the dispute between believers and non-believers over the ontological status of their bearers is a further obstacle to offering a single theory that can account for all divine names. But aboutness theory can come to the rescue here. Whatever terms divine names are, they pick out a subject (...)
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  46. Sistema sanitario neuquino: atención de las mujeres mapuce en Las Coloradas.C. Rodríguez Garat - 2024 - Nuestro Noa 18:1-28.
    El objetivo de este artículo es realizar una historización del sistema sanitario de Neuquén, concretamente atendiendo a los programas de salud aplicados en esta provincia desde su surgimiento hasta el año 2020. En este marco, en primer lugar, me enfocaré en los lineamientos políticos que definieron las bases ideológicas de las políticas públicas llevadas a cabo en la atención sanitaria neuquina, y, en segundo lugar, examinaré las variables estadísticas publicadas por el sistema de salud provincial referidas a las condiciones materiales (...)
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  47. Spinoza, Bennett, and Teleology.Lee C. Rice - 1985 - Southern Journal of Philosophy 23 (2):241-253.
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  48. Probabilistic Regresses and the Availability Problem for Infinitism.Adam C. Podlaskowski & Joshua A. Smith - 2014 - Metaphilosophy 45 (2):211-220.
    Recent work by Peijnenburg, Atkinson, and Herzberg suggests that infinitists who accept a probabilistic construal of justification can overcome significant challenges to their position by attending to mathematical treatments of infinite probabilistic regresses. In this essay, it is argued that care must be taken when assessing the significance of these formal results. Though valuable lessons can be drawn from these mathematical exercises (many of which are not disputed here), the essay argues that it is entirely unclear that the form of (...)
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  49. Philosophy and theory of artificial intelligence 2017.Vincent C. Müller (ed.) - 2017 - Berlin: Springer.
    This book reports on the results of the third edition of the premier conference in the field of philosophy of artificial intelligence, PT-AI 2017, held on November 4 - 5, 2017 at the University of Leeds, UK. It covers: advanced knowledge on key AI concepts, including complexity, computation, creativity, embodiment, representation and superintelligence; cutting-edge ethical issues, such as the AI impact on human dignity and society, responsibilities and rights of machines, as well as AI threats to humanity and AI safety; (...)
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  50. In 30 Schritten zum Mond? Zukünftiger Fortschritt in der KI.Vincent C. Müller - 2018 - Medienkorrespondenz 20 (05.10.2018):5-15.
    Die Entwicklungen in der Künstlichen Intelligenz (KI) sind spannend. Aber wohin geht die Reise? Ich stelle eine Analyse vor, der zufolge exponentielles Wachstum von Rechengeschwindigkeit und Daten die entscheidenden Faktoren im bisherigen Fortschritt waren. Im Folgenden erläutere ich, unter welchen Annahmen dieses Wachstum auch weiterhin Fortschritt ermöglichen wird: 1) Intelligenz ist eindimensional und messbar, 2) Kognitionswissenschaft wird für KI nicht benötigt, 3) Berechnung (computation) ist hinreichend für Kognition, 4) Gegenwärtige Techniken und Architektur sind ausreichend skalierbar, 5) Technological Readiness Levels (TRL) (...)
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