Results for 'C. Behan Mccullagh'

974 found
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  1. Ethics of Artificial Intelligence and Robotics.Vincent C. Müller - 2020 - In Edward N. Zalta (ed.), 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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  2. (1 other version)Future progress in artificial intelligence: A survey of expert opinion.Vincent C. Müller & Nick Bostrom - 2016 - In Vincent C. Müller (ed.), 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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  3. 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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  4. 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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  5. Categorical Quantification.Constantin C. Brîncuş - 2024 - Bulletin of Symbolic Logic 30 (2):pp. 227-252.
    Due to Gӧdel’s incompleteness results, the categoricity of a sufficiently rich mathematical theory and the semantic completeness of its underlying logic are two mutually exclusive ideals. For first- and second-order logics we obtain one of them with the cost of losing the other. In addition, in both these logics the rules of deduction for their quantifiers are non-categorical. In this paper I examine two recent arguments –Warren (2020), Murzi and Topey (2021)– for the idea that the natural deduction rules for (...)
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  6. Autonomous killer robots are probably good news.Vincent C. Müller - 2016 - In Ezio Di Nucci & Filippo Santoni de Sio (eds.), 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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  7. Philosophy of AI: A structured overview.Vincent C. Müller - 2024 - In Nathalie A. Smuha (ed.), Cambridge handbook on the law, ethics and policy of Artificial Intelligence. Cambridge University Press. pp. 1-25.
    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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  8. Inferential Quantification and the ω-rule.Constantin C. Brîncuş - 2024 - In Antonio Piccolomini D'Aragona (ed.), Perspectives on Deduction: Contemporary Studies in the Philosophy, History and Formal Theories of Deduction. Springer Verlag. pp. 345--372.
    Logical inferentialism maintains that the formal rules of inference fix the meanings of the logical terms. The categoricity problem points out to the fact that the standard formalizations of classical logic do not uniquely determine the intended meanings of its logical terms, i.e., these formalizations are not categorical. This means that there are different interpretations of the logical terms that are consistent with the relation of logical derivability in a logical calculus. In the case of the quantificational logic, the categoricity (...)
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  9. Williamson on Modality.Juhani Yli-Vakkuri & Mark McCullagh - 2016 - Canadian Journal of Philosophy 46 (4-5):453-851.
    This special issue of the Canadian Journal of Philosophy is dedicated to Timothy Williamson's work on modality. It consists of a new paper by Williamson followed by papers on Williamson's work on modality, with each followed by a reply by Williamson. -/- Contributors: Andrew Bacon, Kit Fine, Peter Fritz, Jeremy Goodman, John Hawthorne, Øystein Linnebo, Ted Sider, Robert Stalnaker, Meghan Sullivan, Gabriel Uzquiano, Barbara Vetter, Timothy Williamson, Juhani Yli-Vakkuri.
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  10. The Narrative Identity of European Cities in Contemporary Literature.Sonja Novak, Mustafa Zeki Çıraklı, Asma Mehan & Silvia Quinteiro - 2023 - Journal of Narrative and Language Studies 11 (22):IV-VIII.
    This volume aimed to highlight narrative identities of European cities or city neighbourhoods that have been overlooked, such as mid-sized cities. These cities are neither small towns nor metropolises, cities that are now unveiling their appeal or specificity. The present special issue thus covers a range of representations of cities. The articles investigate more systematically how different texts deal with various cities from different experiential and fictional perspectives. The issue covers the geographical scope across Europe, from east to west or (...)
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  11. New developments in the philosophy of AI.Vincent C. Müller - 2016 - In Vincent C. Müller (ed.), 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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  12. Scare-quoting and incorporation.Mark McCullagh - 2017 - In Paul Saka & Michael Johnson (eds.), The Semantics and Pragmatics of Quotation. Cham: Springer. pp. 3-34.
    I explain a mechanism I call “incorporation,” that I think is at work in a wide range of cases often put under the heading of “scare-quoting.” Incorporation is flagging some words in one’s own utterance to indicate that they are to be interpreted as if uttered by some other speaker in some other context, while supplying evidence to one’s interpreter enabling them to identify that other speaker and context. This mechanism gives us a way to use others’ vocabularies and contexts, (...)
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  13. Distributed utterances.Mark McCullagh - 2020 - In Tadeusz Ciecierski & Pawel Grabarczyk (eds.), The Architecture of Context and Context-Sensitivity. Springer. pp. 113-24.
    I propose an apparatus for handling intrasentential change in context. The standard approach has problems with sentences with multiple occurrences of the same demonstrative or indexical. My proposal involves the idea that contexts can be complex. Complex contexts are built out of (“simple”) Kaplanian contexts by ordered n-tupling. With these we can revise the clauses of Kaplan’s Logic of Demonstratives so that each part of a sentence is taken in a different component of a complex context. I consider other applications (...)
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  14. Re-thinking Intersectionality.Jennifer C. Nash - 2008 - Feminist Review 89 (1):1-15.
    Intersectionality has become the primary analytic tool that feminist and anti-racist scholars deploy for theorizing identity and oppression. This paper exposes and critically interrogates the assumptions underpinning intersectionality by focusing on four tensions within intersectionality scholarship: the lack of a defined intersectional methodology; the use of black women as quintessential intersectional subjects; the vague definition of intersectionality; and the empirical validity of intersectionality. Ultimately, my project does not seek to undermine intersectionality; instead, I encourage both feminist and anti-racist scholars to (...)
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  15. Interpretative Modesty.Mark McCullagh - 2023 - Journal of Philosophy 120 (1):42-59.
    Philosophers have wanted to work with conceptions of word-competence, or concept-possession, on which being a competent practitioner with a word amounts to being a competent judge of its uses by others. I argue that our implicit conception of competence with a word does not have this presupposition built into it. One implication of this is what I call "modesty" in interpretation: we allow for others, uses of words that we would not allow for ourselves. I develop this point by looking (...)
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  16. Is there a future for AI without representation?Vincent C. Müller - 2007 - Minds and Machines 17 (1):101-115.
    This paper investigates the prospects of Rodney Brooks’ proposal for AI without representation. It turns out that the supposedly characteristic features of “new AI” (embodiment, situatedness, absence of reasoning, and absence of representation) are all present in conventional systems: “New AI” is just like old AI. Brooks proposal boils down to the architectural rejection of central control in intelligent agents—Which, however, turns out to be crucial. Some of more recent cognitive science suggests that we might do well to dispose of (...)
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  17. The Ethics of Vaccination Nudges in Pediatric Practice.Mark C. Navin - 2017 - HEC Forum 29 (1):43-57.
    Techniques from behavioral economics—nudges—may help physicians increase pediatric vaccine compliance, but critics have objected that nudges can undermine autonomy. Since autonomy is a centrally important value in healthcare decision-making contexts, it counts against pediatric vaccination nudges if they undermine parental autonomy. Advocates for healthcare nudges have resisted the charge that nudges undermine autonomy, and the recent bioethics literature illustrates the current intractability of this debate. This article rejects a principle to which parties on both sides of this debate sometimes seem (...)
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  18. The history of digital ethics.Vincent C. Müller - 2023 - In Carissa Véliz (ed.), 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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    Inferential Quantification and the ω-Rule.Constantin C. Brîncuş - 2024 - In Antonio Piccolomini D'Aragona (ed.), Perspectives on Deduction: Contemporary Studies in the Philosophy, History and Formal Theories of Deduction. Springer Verlag. pp. 345-372.
    Logical inferentialism maintains that the formal rules of inference fix the meanings of the logical terms. The categoricity problem points out to the fact that the standard formalizations of classical logic do not uniquely determine the intended meanings of its logical terms, i.e., these formalizations are not categorical. This means that there are different interpretations of the logical terms that are consistent with the relation of logical derivability in a logical calculus. In the case of the quantificational logic, the categoricity (...)
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  20. Pancomputationalism: Theory or metaphor?Vincent C. Müller - 2014 - In Ruth Hagenbruger & Uwe V. Riss (eds.), 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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  21. Socrates on the Emotions.Thomas C. Brickhouse & Nicholas D. Smith - 2015 - Plato Journal 15:9-28.
    In this paper we argue that Socrates is a cognitivist about emotions, but then ask how the beliefs that constitute emotions can come into being, and why those beliefs seem more resistant to change through rational persuasion than other beliefs.
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  22. Scientific Disagreements, Fast Science and Higher-Order Evidence.Daniel C. Friedman & Dunja Šešelja - 2023 - Philosophy of Science 90 (4):937-957.
    Scientific disagreements are an important catalyst for scientific progress. But what happens when scientists disagree amidst times of crisis, when we need quick yet reliable policy guidance? In this paper we provide a normative account for how scientists facing disagreement in the context of ‘fast science’ should respond, and how policy makers should evaluate such disagreement. Starting from an argumentative, pragma-dialectic account of scientific controversies, we argue for the importance of ‘higher-order evidence’ (HOE) and we specify desiderata for scientifically relevant (...)
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  23. Cost Benefit Analysis and the Environment.N. Hanley & C. Spash - 1996 - Environmental Values 5 (2):182-183.
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  24. Kinds of monsters and kinds of compositionality.Mark McCullagh - 2018 - Analysis 78 (4):657-666.
    In response to Stefano Predelli's article finding in David Kaplan's “Demonstratives” a distinction between “context shifting” monsters and “operators on character,” I argue that context shifters are operators on character. That conclusion conflicts with the claim that operators on character must be covertly quotational. But that claim is itself unmotivated.
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  25. Philosophie der Künstlichen Intelligenz: Ein strukturierter Überblick.Vincent C. Müller - 2024 - In Rainer Adolphi, Suzana Alpsancar, Susanne Hahn & Matthias Kettner (eds.), 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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  26. Representation in digital systems.Vincent C. Müller - 2008 - In P. Brey, A. Briggle & K. Waelbers (eds.), 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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  27. Understanding Mixed Quotation.Mark McCullagh - 2007 - Mind 116 (464):927-946.
    It has proved challenging to account for the dual role that a directly quoted part of a 'that'-clause plays in so-called mixed quotation. The Davidsonian account, elaborated by Cappelen and Lepore, handles many cases well; but it fails to accommodate a crucial feature of mixed quotation: that the part enclosed in quotation marks is used to specify not what the quoter says when she utters it, but what the quoted speaker says when she utters it. Here I show how the (...)
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  28. Local Food and International Ethics.Mark C. Navin - 2014 - Journal of Agricultural and Environmental Ethics 27 (3):349-368.
    Many advocate practices of ‘local food’ or ‘locavorism’ as a partial solution to the injustices and unsustainability of contemporary food systems. I think that there is much to be said in favor of local food movements, but these virtues are insufficient to immunize locavorism from criticism. In particular, three duties of international ethics—beneficence, repair and fairness—may provide reasons for constraining the developed world’s permissible pursuit of local food. A complete account of why (and how) the fulfillment of these duties constrains (...)
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  29. Varieties of Harm to Animals in Industrial Farming.Matthew C. Halteman - 2011 - Journal of Animal Ethics 1 (2):122-131.
    Skeptics of the moral case against industrial farming often assert that harm to animals in industrial systems is limited to isolated instances of abuse that do not reflect standard practice and thus do not merit criticism of the industry at large. I argue that even if skeptics are correct that abuse is the exception rather than the rule, they must still answer for two additional varieties of serious harm to animals that are pervasive in industrial systems: procedural harm and institutional (...)
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  30. How to use a concept you reject.Mark McCullagh - 2011 - Philosophical Quarterly 61 (243):293-319.
    Inferentialist accounts of concept possession are often supported by examples in which rejection of some inference seems to amount to rejection of some concept, with the apparently implausible consequence that anyone who rejects the inference cannot so much as understand those who use the concept. This consequence can be avoided by distinguishing conditions necessary for direct uses of a concept (to describe the non-cognitive world) from conditions necessary for content-specifying uses (to specify what someone thinks or says). I consider how (...)
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  31. Do inferential roles compose?Mark McCullagh - 2003 - Dialectica 57 (4):431-38.
    Jerry Fodor and Ernie Lepore have argued that inferential roles are not compositional. It is unclear, however, whether the theories at which they aim their objection are obliged to meet the strong compositionality requirement they have in mind. But even if that requirement is accepted, the data they adduce can in fact be derived from an inferential-role theory that meets it. Technically this is trivial, but it raises some interesting objections turning on the issue of the generality of inferential roles. (...)
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  32. Russellianism unencumbered.Mark McCullagh - 2017 - Philosophical Studies 174 (11):2819-2843.
    Richard Heck, Jr has recently argued against Russellianism about proper names not in the usual way—by appeal to “intuitions” about the truth conditions of “that”-clause belief ascriptions—but by appeal to our need to specify beliefs in a way that reflects their individuation. Since beliefs are individuated by their psychological roles and not their Russellian contents, he argues, Russellianism is precluded in principle from accounting for our ability to specify beliefs in ordinary language. I argue that Heck thus makes things easier (...)
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  33. Ethics of Artificial Intelligence.Vincent C. Müller - 2021 - In Anthony Elliott (ed.), 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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  34. Symbol grounding in computational systems: A paradox of intentions.Vincent C. Müller - 2009 - Minds and Machines 19 (4):529-541.
    The paper presents a paradoxical feature of computational systems that suggests that computationalism cannot explain symbol grounding. If the mind is a digital computer, as computationalism claims, then it can be computing either over meaningful symbols or over meaningless symbols. If it is computing over meaningful symbols its functioning presupposes the existence of meaningful symbols in the system, i.e. it implies semantic nativism. If the mind is computing over meaningless symbols, no intentional cognitive processes are available prior to symbol grounding. (...)
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  35. 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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  36. What Makes Logical Truths True?Constantin C. Brîncuș - 2016 - Logos and Episteme 7 (3): 249-272.
    The concern of deductive logic is generally viewed as the systematic recognition of logical principles, i.e., of logical truths. This paper presents and analyzes different instantiations of the three main interpretations of logical principles, viz. as ontological principles, as empirical hypotheses, and as true propositions in virtue of meanings. I argue in this paper that logical principles are true propositions in virtue of the meanings of the logical terms within a certain linguistic framework. Since these principles also regulate and control (...)
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  37. 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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  38. Functionalism and self-consciousness.Mark McCullagh - 2000 - Mind and Language 15 (5):481-499.
    I offer a philosophically well-motivated solution to a problem that George Bealer has identified, which he claims is fatal to functionalism. The problem is that there seems to be no way to generate a satisfactory Ramsey sentence of a psychological theory in which mental-state predicates occur within the scopes of mental-state predicates. My central claim is that the functional roles in terms of which a creature capable of self-consciousness identifies her own mental states must be roles that items could play (...)
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  39. 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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  40. Event Location and Vagueness.Andrea Borghini & Achille C. Varzi - 2006 - Philosophical Studies 128 (2):313-336.
    Most event-referring expressions are vague; it is utterly difficult, if not impossible, to specify the exact spatiotemporal location of an event from the words that we use to refer to it. We argue that in spite of certain prima facie obstacles, such vagueness can be given a purely semantic (broadly supervaluational) account.
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  41. 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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  42. Pluralism, Realism and the Units of Selection.Sandy C. Boucher - 2020 - South African Journal of Philosophy 1 (39):47-62.
    I consider two attempts to combine realism with pluralism about the units of selection: Sober and Wilson’s combination of “model” and “unit” pluralism, and Sterelny and Griffiths’ “local pluralism”. I argue that both of these attempts fail to show that realism and pluralism are compatible. Sober and Wilson’s pluralism turns out, on closer inspection, to be a kind of monism in disguise, while Sterelny and Griffiths’ local pluralism involves a combination of realism and anti-realism about interactors, and the units of (...)
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  43. Conceptual engineering and conceptual extension in science.Sandy C. Boucher - 2024 - Inquiry: An Interdisciplinary Journal of Philosophy 67 (9):3110-3139.
    I argue that the Conceptual Ethics and Conceptual Engineering framework, in its pragmatist version as recently defended by Thomasson (2017, 2020), provides a means of articulating and defending the conventionalist interpretation of projects of conceptual extension (e.g. the extended mind, the extended phenotype) in biology and psychology. This promises to be illuminating in both directions: it helps to make sense of, and provides an explicit methodology for, pragmatic conceptual extension in science, while offering further evidence for the value and fruitfulness (...)
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  44. "Philosophy as Therapy for Recovering (Unrestrained) Omnivores".Matthew C. Halteman & Megan Halteman Zwart - 2016 - In Andrew Chignell, Terence Cuneo & Matthew C. Halteman (eds.), Philosophy Comes to Dinner: Arguments on the Ethics of Eating. Routledge.
    Recourse to a variety of well-constructed arguments is undoubtedly a significant strategic asset for cultivating more ethical eating habits and convincing others to follow suit. Nevertheless, common obstacles often prevent even the best arguments from getting traction in our lives. For one thing, many of us enter the discussion hampered by firmly-entrenched but largely uninvestigated assumptions about food that make it difficult to imagine how even well-supported arguments that challenge our familiar frames of culinary reference could actually apply to us. (...)
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  45. What is a digital state?Vincent C. Müller - 2013 - In Mark J. Bishop & Yasemin Erden (eds.), 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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  46. The hard and easy grounding problems (Comment on A. Cangelosi).Vincent C. Müller - 2011 - International Journal of Signs and Semiotic Systems 1 (1):70-70.
    I see four symbol grounding problems: 1) How can a purely computational mind acquire meaningful symbols? 2) How can we get a computational robot to show the right linguistic behavior? These two are misleading. I suggest an 'easy' and a 'hard' problem: 3) How can we explain and re-produce the behavioral ability and function of meaning in artificial computational agents?4) How does physics give rise to meaning?
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  47. Inferentialism and singular reference.Mark Mccullagh - 2005 - Canadian Journal of Philosophy 35 (2):183-220.
    Basic to Robert Brandom’s project in Making It Explicit is the demarcation of singular terms according to the structure of their inferential roles---rather than, as is usual, according to the kinds of things they purport to denote. But the demarcational effort founders on the need to distinguish extensional and nonextensional occurrences of expressions in terms of inferential roles; the closest that an inferentialist can come to drawing that distinction is to discern degrees of extensionality, and that is not close enough. (...)
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  48. Categoricity and Negation. A Note on Kripke’s Affirmativism.Constantin C. Brîncuș & Iulian D. Toader - 2019 - In Igor Sedlár & Martin Blicha (eds.), The Logica Yearbook 2018. College Publications. pp. 57-66.
    We argue that, if taken seriously, Kripke's view that a language for science can dispense with a negation operator is to be rejected. Part of the argument is a proof that positive logic, i.e., classical propositional logic without negation, is not categorical.
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  49. African Identity: the Nature-culture Perspective.Charles C. Nweke - 2018 - Philosophia: International Journal of Philosophy (Philippine e-journal) 19 (1):66-75.
    The paper examines the loss of African identity within the modern/ contemporary era. African identity has been a recurrent theme in all domains of African studies, serving as a major intellectual concern of many African scholars. Debates on the reality of African Philosophy are anchored on the questions surrounding African identity giving rise to thoughts and contents of that philosophy. Despite the volumes already generated on the theme, the controversial circumstances that engendered the subject of African identity makes its intellectual (...)
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  50. Editorial: Risks of artificial intelligence.Vincent C. Müller - 2015 - In Risks of general intelligence. CRC Press - Chapman & Hall. pp. 1-8.
    If the intelligence of artificial systems were to surpass that of humans significantly, this would constitute a significant risk for humanity. Time has come to consider these issues, and this consideration must include progress in AI as much as insights from the theory of AI. The papers in this volume try to make cautious headway in setting the problem, evaluating predictions on the future of AI, proposing ways to ensure that AI systems will be beneficial to humans – and critically (...)
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