Results for 'Vincent S. C. Chien'

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  1. The ethical imperatives of the COVID 19 pandemic: a review from data ethics.Gabriela Arriagada Bruneau, Vincent C. Müller & Mark S. Gilthorpe - 2020 - Veritas: Revista de Filosofía y Teología 46:13-35.
    In this review, we present some ethical imperatives observed in this pandemic from a data ethics perspective. Our exposition connects recurrent ethical problems in the discipline, such as, privacy, surveillance, transparency, accountability, and trust, to broader societal concerns about equality, discrimination, and justice. We acknowledge data ethics role as significant to develop technological, inclusive, and pluralist societies. - - - Resumen: En esta revisión, exponemos algunos de los imperativos éticos observados desde la ética de datos en esta pandemia. Nuestra exposición (...)
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  2. Risks of artificial general intelligence.Vincent C. Müller (ed.) - 2014 - Taylor & Francis (JETAI).
    Special Issue “Risks of artificial general intelligence”, Journal of Experimental and Theoretical Artificial Intelligence, 26/3 (2014), ed. Vincent C. Müller. http://www.tandfonline.com/toc/teta20/26/3# - Risks of general artificial intelligence, Vincent C. Müller, pages 297-301 - Autonomous technology and the greater human good - Steve Omohundro - pages 303-315 - - - The errors, insights and lessons of famous AI predictions – and what they mean for the future - Stuart Armstrong, Kaj Sotala & Seán S. Ó hÉigeartaigh - pages 317-342 (...)
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  3. Bibliographie der Schriften von Hilary Putnam [Bibliography of Hilary Putnam's Writings].Vincent C. Müller - 1993 - In Hilary Putnam: Von einem realistischen Standpunkt, Schriften zu Sprache und Wirklichkeit. Rowohlt. pp. 278-294.
    Bibliography of the writings by Hilary Putnam: 16 books, 198 articles, 10 translations into German (up to 1994).
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  4. Interaction and resistance: The recognition of intentions in new human-computer interaction.Vincent C. Müller - 2011 - In Anna Esposito, Antonietta M. Esposito, Raffaele Martone, Vincent C. Müller & Gaetano Scarpetta (eds.), Towards autonomous, adaptive, and context-aware multimodal interfaces: Theoretical and practical issues. Springer. pp. 1-7.
    Just as AI has moved away from classical AI, human-computer interaction (HCI) must move away from what I call ‘good old fashioned HCI’ to ‘new HCI’ – it must become a part of cognitive systems research where HCI is one case of the interaction of intelligent agents (we now know that interaction is essential for intelligent agents anyway). For such interaction, we cannot just ‘analyze the data’, but we must assume intentions in the other, and I suggest these are largely (...)
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  5. Réguler les robots-tueurs, plutôt que les interdire.Vincent C. Müller & Thomas W. Simpson - 2015 - Multitudes 58 (1):77.
    This is the short version, in French translation by Anne Querrien, of the originally jointly authored paper: Müller, Vincent C., ‘Autonomous killer robots are probably good news’, in Ezio Di Nucci and Filippo Santoni de Sio, Drones and responsibility: Legal, philosophical and socio-technical perspectives on the use of remotely controlled weapons. - - - L’article qui suit présente un nouveau système d’armes fondé sur des robots qui risque d’être prochainement utilisé. À la différence des drones qui sont manoeuvrés à (...)
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  6. Legal vs. ethical obligations – a comment on the EPSRC’s principles for robotics.Vincent C. Müller - 2017 - Connection Science 29 (2):137-141.
    While the 2010 EPSRC principles for robotics state a set of 5 rules of what ‘should’ be done, I argue they should differentiate between legal obligations and ethical demands. Only if we make this difference can we state clearly what the legal obligations already are, and what additional ethical demands we want to make. I provide suggestions how to revise the rules in this light and how to make them more structured.
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  7. Too much substance, not enough cognition.Vincent C. Müller & Stephanie Kelter - 1998 - Behavioral and Brain Sciences 21 (1):80-80.
    Millikan's account of substance concepts is based on a notion of “substance” expanded from realist notions of individuals and natural kinds. Her metaphysical notion, based on “inductive potential,” is shown to be too puristic and needs to incorporate cognizing subjects. This could preserve the realist/nondescriptionist insight that the extension of substances is determined by the world.
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  8. Epistemic theories of truth: The justifiability paradox investigated.Vincent C. Müller & Christian Stein - 1996 - In C. Martinez Vidal (ed.), Verdad: Logica, Representacion Y Mundo. Universidade de Santiago de Compostela. pp. 95-104.
    Epistemic theories of truth, such as those presumed to be typical for anti-realism, can be characterised as saying that what is true can be known in principle: p → ◊Kp. However, with statements of the form “p & ¬Kp”, a contradiction arises if they are both true and known. Analysis of the nature of the paradox shows that such statements refute epistemic theories of truth only if the the anti-realist motivation for epistemic theories of truth is not taken into account. (...)
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  9. Measuring progress in robotics: Benchmarking and the ‘measure-target confusion’.Vincent C. Müller - 2019 - In Fabio Bonsignorio, John Hallam, Elena Messina & Angel P. Del Pobil (eds.), Metrics of sensory motor coordination and integration in robots and animals. Springer. pp. 169-179.
    While it is often said that robotics should aspire to reproducible and measurable results that allow benchmarking, I argue that a focus on benchmarking can be a hindrance for progress in robotics. The reason is what I call the ‘measure-target confusion’, the confusion between a measure of progress and the target of progress. Progress on a benchmark (the measure) is not identical to scientific or technological progress (the target). In the past, several academic disciplines have been led into pursuing only (...)
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  10. There must be encapsulated nonconceptual content in vision.Vincent C. Müller - 2005 - In Athanassios Raftopoulos (ed.), Cognitive Penetrabiity of Perception: Attention, Strategies and Bottom-Up Constraints. New York: Nova Science. pp. 157-170.
    In this paper I want to propose an argument to support Jerry Fodor’s thesis (Fodor 1983) that input systems are modular and thus informationally encapsulated. The argument starts with the suggestion that there is a “grounding problem” in perception, i. e. that there is a problem in explaining how perception that can yield a visual experience is possible, how sensation can become meaningful perception of something for the subject. Given that visual experience is actually possible, this invites a transcendental argument (...)
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  11. Deictic codes, demonstratives, and reference: A step toward solving the grounding problem.Athanassios Raftopoulos & Vincent C. Müller - 2002 - In Wayne D. Gray & Christian D. Schunn (eds.), CogSci 2002, 24th annual meeting of the Cognitive Science Society. Lawrence Erlbaum. pp. 762-767.
    In this paper we address the issue of grounding for experiential concepts. Given that perceptual demonstratives are a basic form of such concepts, we examine ways of fixing the referents of such demonstratives. To avoid ‘encodingism’, that is, relating representations to representations, we postulate that the process of reference fixing must be bottom-up and nonconceptual, so that it can break the circle of conceptual content and touch the world. For that purpose, an appropriate causal relation between representations and the world (...)
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  12. Margaret A. Boden, mind as machine: A history of cognitive science , 2 vols. [REVIEW]Vincent C. Müller - 2008 - Minds and Machines 18 (1):121-125.
    Review of: Margaret A. Boden, Mind as Machine: A History of Cognitive Science, 2 vols, Oxford: Oxford University Press, 2006, xlvii+1631, cloth $225, ISBN 0-19-924144-9. - Mind as Machine is Margaret Boden’s opus magnum. For one thing, it comes in two massive volumes of nearly 1700 pages, ... But it is not just the opus magnum in simple terms of size, but also a truly crowning achievement of half a century’s career in cognitive science.
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  13. Ethical issues for robotics and autonomous systems.John McDermid, Vincent C. Müller, Tony Pipe, Zoe Porter & Alan Winfield - 2019 - UK Robotics and Autonomous Systems Network.
    There are unusual challenges in ethics for RAS. Perhaps the issue can best be summarised as needing to consider “technically informed ethics”. The technology of RAS raises issues that have an ethical dimension, and perhaps uniquely so due to the possibility of moving human decision-making which is implicitly ethically informed to computer systems. Further, if seeking solutions to these problems – ethically aligned design, to use the IEEE’s terminology – then the solutions must be technically meaningful, capable of realisation, capable (...)
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  14. Being-in-the-World as Being-in-Nature: An Ecological Perspective on Being and Time.Vincent Blok - 2014 - Studia Phaenomenologica 14:215-235.
    Because the status of nature is ambiguous in Being and Time, we explore an ecological perspective on Heidegger’s early main work in this article. Our hypothesis is that the affordance theory of James Gibson enables us to a) to understand being-in-the-world as being-in-nature, b) reconnect man and nature and c) understand the twofold sense of nature in Being and Time. After exploring Heidegger’s concept of being-in-the-world and Gibson’s concept of being-in-nature, we confront Heidegger’s and Gibson’s conception of being-in-the-world and being-in-nature. (...)
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  15. Penser dans la perspective du pire : prolégomènes à une philosophie des catastrophes.Vincent Guillin - 2020 - Ithaque 2020:85-125.
    Dans ces « Prolégomènes à une philosophie des catastrophes », on avance qu'une réflexion philosophique sur ces phénomènes doit s’obliger à travailler dans une extension maximum (en abordant la question du point de vue métaphysique, ontologique, épistémologique, esthétique, éthique et politique) et en explorant toutes les ressources que nous offre la pensée comme outil cognitif (décrire, comprendre, expliquer), émotionnel (sentir et ressentir, éprouver), prédictif (prévoir, imaginer) et normatif (juger, décider). Penser les catastrophes au pluriel, c’est aussi se rendre compte qu’historiquement, (...)
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  16. Phenomenology, Schizophrenia, and the Varieties of Understanding.Anthony Vincent Fernandez - 2022 - Philosophy, Psychiatry, and Psychology 29 (1):17-19.
    This is a commentary on Humpston, C. S. (2022). “Isolated by Oneself: Ontologically Impossible Experiences in Schizophrenia.” Philosophy, Psychiatry, & Psychology 29(1), 5–15. It is published with an additional commentary by H. Green and Humpston’s response.
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  17. Alexandre Joseph Hidulphe Vincent on George Gemistos Plethon.Katelis Viglas - 2012 - Anistoriton Journal of History, Archaeology and ArtHistory 13 (1):1-12.
    George Gemistos Plethon’s work in all its dimensions has attracted many scholars across the ages. One of those scholars was Alexandre Joseph Hidulphe Vincent, a French mathematician and erudite, who in the first and the only critical edition of Plethon’s Book of Laws by C. Alexandre in the nineteenth century, added three notes on his calendar, metrics and music, as he could reconstruct them from the ancient text. Vincent’s calculations were dictated by the main scientific thought of his (...)
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  18. Recursive predicates and quantifiers.S. C. Kleene - 1943 - Transactions of the American Mathematical Society 53:41-73.
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  19. 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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  20. 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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  21. 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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  22. THE LIVED EXPERIENCE OF STUDENTS UNDER THE COLLABORATIVE ONLINE INTERNATIONAL LEARNING (COIL) PROGRAM: LOOKING AT SDG 12.Christabelle Jaynee S. C. Acedillo - 2023 - Get International Research Journal 1 (2):63–77.
    Collaborative learning emphasizes student-to-student interaction and the instructor’s role as a facilitator. Collaborative Online International Learning (COIL) was founded in 2005 by the State University of New York (SUNY) to help schools adapt their single classroom courses to an online, collaborative format and establish strong collaborations with professors with whom they would join classes and co-teach using SUNY COIL conferences and website, as well as pre-established partnerships between the institutions. However, as the globe becomes increasingly interconnected, educational challenges aimed at (...)
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  23. 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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  24. 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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  25. 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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  26. The Adinkra Game: An Intercultural Communicative and Philosophical Praxis.Kofi Dorvlo & A. S. C. A. Muijen - 2021 - In Kofi Dorvlo & A. S. C. A. Muijen (eds.), Cultures at School and at Home. Rauma, Finland: pp. 32.
    In 2020, an international team of intercultural philosophers and African linguists created a multilinguistic game named Adinkra. This name refers to a medieval rooted symbolic language in Ghana that is actively used by the Akan and especially the Asante among them to communicate indirectly. The Akan is both the meta-ethnic name of the largest Ghanaian cultural-linguistic group of which the Asante is an Akan cultural subgroup and of a Central Tano language of which Asante-Twi is a dialect. The Adinkra symbols, (...)
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  27. The Structure of Psychic Revolutions: A Psychoanalytic Account of Kuhnian Science.Scott Taylor & S. C. Taylor - 2019 - American Imago 3 (76):381-404.
    In an often-forgotten proclamation during an autobiographical interview in 1995, Thomas Kuhn notes, without much explanation, his indebtedness to psychoanalysis. While in the wake of Kuhn's 1962 publication The Structure of Scientific Revolutions, many psychoanalytic scholars have made use of his work to justify shifts in psychoanalytic traditions, few have attempted to point out the relation between Kuhnian science and the psychoanalytic process. This article argues that there is a strong affinity between the developmental and structural themes of Kuhn’s scientific (...)
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  28.  84
    Adição de minerais na ração e sua influência nos índices reprodutivos em ruminantes.R. E. S. C. GALVÃO - 2024 - Dissertation, Instituto Federal de Educação, Ciência e Tecnologia de Pernambuco - Ifpe Campus Belo Jardim
    Os minerais possuem uma influência direta em diversos processos fisiológicos no organismo animal e, mesmo com tamanha importância, por vezes são negligenciados pelos produtores para seu fornecimento para os animais. Este estudo teve como objetivo avaliar o desempenho reprodutivo de rebanhos de bovinos, caprinos e ovinos em 8 propriedades rurais nas cidades de Sanharó, Pesqueira, Arcoverde, Belo Jardim e São Bento do Una através da adição de suplemento mineral e mistura múltipla aos animais de forma a atender suas necessidades básicas (...)
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  29. Future progress in artificial intelligence: A poll among experts.Vincent C. Müller & Nick Bostrom - 2014 - AI Matters 1 (1):9-11.
    [This is the short version of: Müller, Vincent C. and Bostrom, Nick (forthcoming 2016), ‘Future progress in artificial intelligence: A survey of expert opinion’, in Vincent C. Müller (ed.), Fundamental Issues of Artificial Intelligence (Synthese Library 377; Berlin: Springer).] - - - In some quarters, there is intense concern about high–level machine intelligence and superintelligent AI coming up in a few dec- ades, bringing with it significant risks for human- ity; in other quarters, these issues are ignored or (...)
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  30. 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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  31. What is morphological computation? On how the body contributes to cognition and control.Vincent C. Müller & Matej Hoffmann - 2017 - Artificial Life 23 (1):1-24.
    The contribution of the body to cognition and control in natural and artificial agents is increasingly described as “off-loading computation from the brain to the body”, where the body is said to perform “morphological computation”. Our investigation of four characteristic cases of morphological computation in animals and robots shows that the ‘off-loading’ perspective is misleading. Actually, the contribution of body morphology to cognition and control is rarely computational, in any useful sense of the word. We thus distinguish (1) morphology that (...)
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  32. 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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  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. 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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  35. 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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  36. 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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  37. Theory and philosophy of AI (Minds and Machines, 22/2 - Special volume).Vincent C. Müller (ed.) - 2012 - Springer.
    Invited papers from PT-AI 2011. - Vincent C. Müller: Introduction: Theory and Philosophy of Artificial Intelligence - Nick Bostrom: The Superintelligent Will: Motivation and Instrumental Rationality in Advanced Artificial Agents - Hubert L. Dreyfus: A History of First Step Fallacies - Antoni Gomila, David Travieso and Lorena Lobo: Wherein is Human Cognition Systematic - J. Kevin O'Regan: How to Build a Robot that Is Conscious and Feels - Oron Shagrir: Computation, Implementation, Cognition.
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  38. 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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  39. 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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  40. 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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  41. Autonomous cognitive systems in real-world environments: Less control, more flexibility and better interaction.Vincent C. Müller - 2012 - Cognitive Computation 4 (3):212-215.
    In October 2011, the “2nd European Network for Cognitive Systems, Robotics and Interaction”, EUCogII, held its meeting in Groningen on “Autonomous activity in real-world environments”, organized by Tjeerd Andringa and myself. This is a brief personal report on why we thought autonomy in real-world environments is central for cognitive systems research and what I think I learned about it. --- The theses that crystallized are that a) autonomy is a relative property and a matter of degree, b) increasing autonomy of (...)
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  42. The extended mind thesis is about demarcation and use of words.Vincent C. Müller - 2018 - Reti, Saperi, Linguaggi: Italian Journal of Cognitive Sciences 2:335-348.
    The «extended mind thesis» sounds like a substantive thesis, the truth of which we should investigate. But actually the thesis a) turns about to be just a statement on where the demarcations for the «mental» are to be set (internal, external,…), i.e. it is about the «mark of the mental»; and b) the choice about the mark of the mental is a verbal choice, not a matter of scientific discovery. So, the «extended mind thesis » is a remark on how (...)
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  43. Εικάζει η φιλοσοφία για εμπειρικά δεδομένα; Η γνωσιακή διαπερατότητα της αντίληψης [Does philosophy speculate about empirical facts? The cognitive penetrability of perception].Vincent C. Müller - 2010 - Noesis 6 (1):161-164.
    Should we do speculative cognitive science? - In present day philosophy, I see a fashion that uses empirical facts (data) to support positions that are not philosophical but empirical in nature. The argumentative structure is classical philosophy, saying that ‘this has to be that way because …’ where the ‘this’ refers to some empirical state of affairs. This kind of philosophy speculates about empirical facts in areas where we do not yet know the facts – the arguments are a priori, (...)
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  44. 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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  45. Τι είναι η πατρίδα μας; [What is our fatherland?].Vincent C. Müller - 2005 - Cogito 3:8-10.
    Ποια είναι η πατρίδα κάποιων; Ας δούμε το θέμα λίγο σαν πρόβλημα της φιλοσοφίας της γλώσσας: για ένα κατηγόρημα «Άγγλος» «Γάλλος», «Πορτογάλος», «Βέλγος», «Φλαμανδός», πώς να αποφασίσουμε ποια αντικείμενα (ποιοι άνθρωποι) εμπίπτουν σε ποιο κατηγόρημα; Έχουν τελικά νόημα αυτά τα κατηγορήματα; Η χρήση και κατάχρηση αυτών των κατηγορημάτων έχει αποτελέσει μια από τις κυριότερες πηγές δυστυχίας στη διάρκεια των δύο τελευταίων αιώνων και συνεχίζει να είναι στην ημερήσια διάταξη. Συνήθως εμφανίζεται στα πλαίσια αγώνων για την απόκτηση «ελευθερίας» σε αντιπαράθεση με (...)
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  46. Risks of artificial intelligence.Vincent C. Müller (ed.) - 2016 - CRC Press - Chapman & Hall.
    Papers from the conference on AI Risk (published in JETAI), supplemented by additional work. --- If the intelligence of artificial systems were to surpass that of humans, humanity would face significant risks. The time has come to consider these issues, and this consideration must include progress in artificial intelligence (AI) as much as insights from AI theory. -- Featuring contributions from leading experts and thinkers in artificial intelligence, Risks of Artificial Intelligence is the first volume of collected chapters dedicated to (...)
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  47. 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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  48. Philosophy and Theory of Artificial Intelligence, 3–4 October (Report on PT-AI 2011).Vincent C. Müller - 2011 - The Reasoner 5 (11):192-193.
    Report for "The Reasoner" on the conference "Philosophy and Theory of Artificial Intelligence", 3 & 4 October 2011, Thessaloniki, Anatolia College/ACT, http://www.pt-ai.org. --- Organization: Vincent C. Müller, Professor of Philosophy at ACT & James Martin Fellow, Oxford http://www.sophia.de --- Sponsors: EUCogII, Oxford-FutureTech, AAAI, ACM-SIGART, IACAP, ECCAI.
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  49. 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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  50. 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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