Results for 'Vincent S. C. Chien'

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  1. Mapping responsible conduct in the uncharted field of research-creation: a scoping review.Nathalie Voarino, Vincent Couture, S. Mathieu-C., Jean-Christophe Bélisle-Pipon, Emilie St-Hilaire, Bryn Williams-Jones, François-Joseph Lapointe, Cynthia Noury, Marianne Cloutier & Philippe Gauthier - 2019 - Accountability in Research 26 (5):311-46.
    This scoping review addresses the issues of responsible conduct of research (RCR) that can arise in the practice of research-creation (RC), an emergent, interdisciplinary, and heterogeneous field at the interface of academic research and creative activities. Little is yet known about the nature and scope of RCR issues in RC, so our study examined three questions: (1) What are the specific issues in RC in relation to RCR? (2) How does the specificity of RC influence the understanding and practice of (...)
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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. 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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  4. Epistemic theories of truth: The justifiability paradox investigated.Vincent C. Müller & Christian Stein - 1996 - In C. Martinez Vidal, 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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  5. 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, 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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  6. 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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  7. There must be encapsulated nonconceptual content in vision.Vincent C. Müller - 2005 - In Athanassios Raftopoulos, 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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  8. 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, 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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  9. 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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  10. 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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  11. 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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  12. 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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  13. 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, 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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  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. 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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  17. 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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  18. 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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  19. 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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  20. (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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  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. 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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  23. 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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  24. Ontic Indeterminacy: Chinese Madhyamaka in the Contemporary Context.Chien-Hsing Ho - 2020 - Australasian Journal of Philosophy 98 (3):419-433.
    A number of analytical philosophers have recently endorsed the view that the world itself is indeterminate in some respect. Intriguingly, ideas similar to the view are expressed by thinkers from Chinese Madhyamaka Buddhism, which may shed light on the current discussion of worldly indeterminacy. Using as a basis Chinese Madhyamaka thought, together with Jessica Wilson’s account of indeterminacy, I develop an ontological conception of indeterminacy, termed ontic indeterminacy, which centres on two complementary ideas—conclusive indeterminability and provisional determinability. I show that (...)
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  25. 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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  26. (1 other version)Can the World Be Indeterminate in All Respects?Chien-Hsing Ho - 2022 - Ergo: An Open Access Journal of Philosophy 9: 584-602.
    Especially over the past twenty years, a number of analytic philosophers have embraced the idea that the world itself is vague or indeterminate in one or more respects. The issue then arises as to whether it can be the case that the world itself is indeterminate in all respects. Using as a basis Chinese Madhyamaka Buddhist thought, I offer two reasons for the coherence and intelligibility of the thesis that all concrete things are themselves indeterminate with respect to the ways (...)
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  27. 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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  28. 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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  29. 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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  30. 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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  31. 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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  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. 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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  34. 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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  35. The Nonduality of Motion and Rest: Sengzhao on the Change of Things.Chien-Hsing Ho - 2017 - In Youru Wang & Sandra A. Wawrytko, Dao Companion to Chinese Buddhist Philosophy. Dordrecht: Springer Verlag. pp. 175-188.
    In his essay “Things Do Not Move,” Sengzhao (374?−414 CE), a prominent Chinese Buddhist philosopher, argues for the thesis that the myriad things do not move in time. This view is counter-intuitive and seems to run counter to the Mahayana Buddhist doctrine of emptiness. In this book chapter, I assess Sengzhao’s arguments for his thesis, elucidate his stance on the change/nonchange of things, and discuss related problems. I argue that although Sengzhao is keen on showing the plausibility of the thesis, (...)
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  36. Risks of artificial intelligence.Vincent C. Muller (ed.) - 2015 - 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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  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. 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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  39. 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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  40. 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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  41. 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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  42. 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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  43. On the Possibilities of Hypercomputing Supertasks.Vincent C. Müller - 2011 - Minds and Machines 21 (1):83-96.
    This paper investigates the view that digital hypercomputing is a good reason for rejection or re-interpretation of the Church-Turing thesis. After suggestion that such re-interpretation is historically problematic and often involves attack on a straw man (the ‘maximality thesis’), it discusses proposals for digital hypercomputing with Zeno-machines , i.e. computing machines that compute an infinite number of computing steps in finite time, thus performing supertasks. It argues that effective computing with Zeno-machines falls into a dilemma: either they are specified such (...)
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  44. 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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  45. 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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  46. 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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  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. Introduction: Philosophy and Theory of Artificial Intelligence.Vincent C. Müller - 2012 - Minds and Machines 22 (2):67-69.
    The theory and philosophy of artificial intelligence has come to a crucial point where the agenda for the forthcoming years is in the air. This special volume of Minds and Machines presents leading invited papers from a conference on the “Philosophy and Theory of Artificial Intelligence” that was held in October 2011 in Thessaloniki. Artificial Intelligence is perhaps unique among engineering subjects in that it has raised very basic questions about the nature of computing, perception, reasoning, learning, language, action, interaction, (...)
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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. Paradoxical Language in Chan Buddhism.Chien-Hsing Ho - 2020 - In Yiu-Ming Fung, Dao Companion to Chinese Philosophy of Logic. Dordrecht: Springer. pp. 389-404.
    Chinese Chan or Zen Buddhism is renowned for its improvisational, atypical, and perplexing use of words. In particular, the tradition’s encounter dialogues, which took place between Chan masters and their interlocutors, abound in puzzling, astonishing, and paradoxical ways of speaking. In this chapter, we are concerned with Chan’s use of paradoxical language. In philosophical parlance, a linguistic paradox comprises the confluence of opposite or incongruent concepts in a way that runs counter to our common sense and ordinary rational thinking. One (...)
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