Results for 'philosophy of AI'

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  1. New Developments in the Philosophy of AI.Vincent C. Müller - 2016 - In Fundamental Issues of Artificial Intelligence. 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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  2. 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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  3. 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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  4.  22
    Epistemology of AI Revisited in the Light of the Philosophy of Information.Jean-Gabriel Ganascia - 2010 - Knowledge, Technology and Policy 23 (1-2):57-73.
    Artificial intelligence has often been seen as an attempt to reduce the natural mind to informational processes and, consequently, to naturalize philosophy. The many criticisms that were addressed to the so-called “old-fashioned AI” do not concern this attempt itself, but the methods it used, especially the reduction of the mind to a symbolic level of abstraction, which has often appeared to be inadequate to capture the richness of our mental activity. As a consequence, there were many efforts to evacuate (...)
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  5.  46
    A Philosophical Encounter: An Interactive Presentation of Some of the Key Philosophical Problems in Ai and Ai Problems in Philosophy.Aaron Sloman - unknown
    This paper, along with the following paper by John McCarthy, introduces some of the topics to be discussed at the IJCAI95 event `A philosophical encounter: An interactive presentation of some of the key philosophical problems in AI and AI problems in philosophy.' Philosophy needs AI in order to make progress with many difficult questions about the nature of mind, and AI needs philosophy in order to help clarify goals, methods, and concepts and to help with several specific (...)
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  6.  61
    From the Philosophy of AI to the Philosophy of Information.Luciano Floridi - forthcoming - The Philosophers’ Magazine.
  7. The Impact of Ai on Philosophy.Margaret A. Boden - 1991 - School of Cognitive and Computing Sciences, University of Sussex.
  8. 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, (...)
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  9. Philosophy and Theory of Artificial Intelligence.Vincent C. Müller (ed.) - 2013 - Springer.
    [Müller, Vincent C. (ed.), (2013), Philosophy and theory of artificial intelligence (SAPERE, 5; Berlin: Springer). 429 pp. ] --- Can we make machines that think and act like humans or other natural intelligent agents? The answer to this question depends on how we see ourselves and how we see the machines in question. Classical AI and cognitive science had claimed that cognition is computation, and can thus be reproduced on other computing machines, possibly surpassing the abilities of human intelligence. (...)
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  10. The Philosophy of AI.Margaret A. Boden (ed.) - 1990 - Oxford University Press.
  11.  8
    Rethinking the I-You Relation Through Dialogical Philosophy in the Ethics of AI and Robotics.Kathleen Richardson - forthcoming - AI and Society.
  12.  4
    The Aesthetics Philosophy of Ts'ai Yuan-P'ei.William J. Duiker - 1972 - Philosophy East and West 22 (4):385-401.
  13. Minnesota Center for the Philosophy of Science Although the Last International Conference on Cybernetics Was Held in 1955, the Ensuing Blitzkrieg of Articles and Books in the Overlapping Areas of Artificial Intelligence (AI) and Computer Simu.Keith Gunderson - 1968 - In Raymond Klibansky (ed.), Contemporary Philosophy. Firenze, la Nuova Italia. pp. 2--416.
  14.  27
    The Concept of T'ai-Chi (Supreme Ultimate) in Sung Neo-Confucian Philosophy.Siu-Chi Huang - 1974 - Journal of Chinese Philosophy 1 (3-4):275-294.
  15. The Ai of Philosophy.John McCarthy - unknown
    • Elaboration tolerance – One of the missionaries is Jesus Christ. English is still better than present AI formalisms but relies on human common sense.
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  16.  95
    Shifting the Paradigm of Philosophy of Science: Philosophy of Information and a New Renaissance. [REVIEW]Gordana Dodig-Crnkovic - 2003 - Minds and Machines 13 (4):521-536.
    Computing is changing the traditional field of Philosophy of Science in a very profound way. First as a methodological tool, computing makes possible ``experimental Philosophy'' which is able to provide practical tests for different philosophical ideas. At the same time the ideal object of investigation of the Philosophy of Science is changing. For a long period of time the ideal science was Physics (e.g., Popper, Carnap, Kuhn, and Chalmers). Now the focus is shifting to the field of (...)
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  17. Pháp Hoa Huyền Nghĩa: Phật Học Thiên Thai Tông = the Profound Meaning of the Lotus Sutra: Tʻien Tʻai Philosophy of Buddhism.Haiyan Shen - 2007 - Từ Đức an Hoa.
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  18. The Profound Meaning of the Lotus Sutra: T̕ Ien-T̕ai Philosophy of Buddhism.Haiyan Shen - 2005 - D.K. Publishers Distributors.
     
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  19. On the Origin of the Notions T Ai-Ping and Ta-T Ung in Chinese Philosophy.Timoteus Pokora - 1961
     
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  20.  12
    Foundations of T'ien-T'ai Philosophy: The Flowering of the Two Truths Theory in Chinese Buddhism.Paul L. Swanson - 1992 - Philosophy East and West 42 (2):344-347.
  21.  3
    Reviews the bookFoundations of T'ien-T'ai Philosophy: The Flowering of the Two Truths Theory in Chinese Buddhismby Paul Loren Swanson.Whalen Lai - 1994 - Philosophy East and West 42 (2).
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  22.  7
    La filosofia di fronte ai limiti della vita: i problemi della bioetica [Philosophy and the borders of life: some bioethical problems].Rosangela Barcaro & Paolo Becchi - 2011 - In S. Meòe (ed.), La ricerca del sapere. 3. Da Schopenhauer alla filosofia contemporanea. D'Anna. pp. 643-660.
    Analisi dei principali temi della riflessione bioetica italiana.
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  23.  95
    What is the Philosophy of Information?Luciano Floridi - 2002 - In James Moor & Terrell Ward Bynum (eds.), Metaphilosophy. Blackwell. pp. 123-145.
  24.  28
    AI and the Conquest of Complexity in Law.L. Wolfgang Bibel - 2004 - Artificial Intelligence and Law 12 (3):159-180.
    The paper identifies some of the problems with legal systems and outlines the potential of AI technology for overcoming them. For expository purposes, this outline is based on a simplified epistemology of the primary functions of law. Social and philosophical impediments from the side of the legal community to taking advantage of the potential of this technology are discussed and strategic recommendations are given.
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  25. The Computer Revolution in Philosophy: Philosophy Science and Models of Mind.Aaron Sloman - 1978 - Hassocks UK: Harvester Press.
    Extract from Hofstadter's revew in Bulletin of American Mathematical Society : http://www.ams.org/journals/bull/1980-02-02/S0273-0979-1980-14752-7/S0273-0979-1980-14752-7.pdf -/- "Aaron Sloman is a man who is convinced that most philosophers and many other students of mind are in dire need of being convinced that there has been a revolution in that field happening right under their noses, and that they had better quickly inform themselves. The revolution is called "Artificial Intelligence" (Al)-and Sloman attempts to impart to others the "enlighten- ment" which he clearly regrets not having (...)
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  26.  1
    What is the Philosophy of Information?Luciano Floridi - 2002 - Metaphilosophy 33 (1&2):123-145.
  27.  23
    Artificial Intelligence, Psychology, and the Philosophy of Discovery.Paul Thagard - 1982 - PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association 1982:166 - 175.
    Buchanan and Darden have provided compelling reasons why philosophers of science concerned with the nature of scientific discovery should be aware of current work in artificial intelligence. This paper contends that artificial intelligence is even more than a source of useful analogies for the philosophy of discovery: the two fields are linked by interfield connections between philosophy of science and cognitive psychology and between cognitive psychology and artificial intelligence. Because the philosophy of discovery must pay attention to (...)
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  28.  83
    Comments on “The Replication of the Hard Problem of Consciousness in AI and Bio-AI”.Blake H. Dournaee - 2010 - Minds and Machines 20 (2):303-309.
    In their joint paper entitled The Replication of the Hard Problem of Consciousness in AI and BIO-AI (Boltuc et al. Replication of the hard problem of conscious in AI and Bio- AI: An early conceptual framework 2008), Nicholas and Piotr Boltuc suggest that machines could be equipped with phenomenal consciousness, which is subjective consciousness that satisfies Chalmer’s hard problem (We will abbreviate the hard problem of consciousness as H-consciousness ). The claim is that if we knew the inner workings of (...)
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  29. Philosophy of Artificial Intelligence: A Course Outline.William J. Rapaport - 1986 - Teaching Philosophy 9 (2):103-120.
    In the Fall of 1983, I offered a junior/senior-level course in Philosophy of Artificial Intelligence, in the Department of Philosophy at SUNY Fredonia, after returning there from a year’s leave to study and do research in computer science and artificial intelligence (AI) at SUNY Buffalo. Of the 30 students enrolled, most were computerscience majors, about a third had no computer background, and only a handful had studied any philosophy. (I might note that enrollments have subsequently increased in (...)
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  30.  9
    Philosophy and AI: Essays at the Interface.Robert C. Cummins & John L. Pollock (eds.) - 1992 - MIT Press.
    Philosophy and AI presents invited contributions that focus on the different perspectives and techniques that philosophy and AI bring to the theory of ...
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  31. Editorial: Risks of Artificial Intelligence.Vincent C. Müller - 2016 - In Risks of artificial 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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  32.  23
    Philosophy and AI.Robert C. Cummins (ed.) - 1991 - Cambridge: MIT Press.
    Philosophy and AI presents invited contributions that focus on the different perspectives and techniques that philosophy and AI bring to the theory of ...
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  33. Fundamental Issues of Artificial Intelligence.Vincent C. Müller (ed.) - 2016 - Springer.
    [Müller, Vincent C. (ed.), (2016), Fundamental issues of artificial intelligence (Synthese Library, 377; Berlin: Springer). 570 pp.] -- This volume offers a look at the fundamental issues of present and future AI, especially from cognitive science, computer science, neuroscience and philosophy. This work examines the conditions for artificial intelligence, how these relate to the conditions for intelligence in humans and other natural agents, as well as ethical and societal problems that artificial intelligence raises or will raise. The key issues (...)
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  34. Computationalism in the Philosophy of Mind.Gualtiero Piccinini - 2009 - Philosophy Compass 4 (3):515-532.
    Computationalism has been the mainstream view of cognition for decades. There are periodic reports of its demise, but they are greatly exaggerated. This essay surveys some recent literature on computationalism. It concludes that computationalism is a family of theories about the mechanisms of cognition. The main relevant evidence for testing it comes from neuroscience, though psychology and AI are relevant too. Computationalism comes in many versions, which continue to guide competing research programs in philosophy of mind as well as (...)
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  35. T'ang Chün-I's Philosophy of Love.Cheung Chan-fai - 1998 - Philosophy East and West 48 (2):257-271.
    T'ang Chün-i's early work Ai-ching chih fu-yin (Gospel of love) has been much neglected by T'ang scholars. This essay argues that this text is not a caprice, and that it marks an important stage in T'ang's life and studies. Furthermore, in the history of Chinese philosophy, it is probably the first book ever written on the philosophy of love.
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  36. A Framework for the Foundation of the Philosophy of Artificial Intelligence.Viola Schiaffonati - 2003 - Minds and Machines 13 (4):537-552.
    The peculiarity of the relationship between philosophy and Artificial Intelligence (AI) has been evidenced since the advent of AI. This paper aims to put the basis of an extended and well founded philosophy of AI: it delineates a multi-layered general framework to which different contributions in the field may be traced back. The core point is to underline how in the same scenario both the role of philosophy on AI and role of AI on philosophy must (...)
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  37.  74
    Artificial Explanations: The Epistemological Interpretation of Explanation in AI.Andrés Páez - 2009 - Synthese 170 (1):131-146.
    In this paper I critically examine the notion of explanation used in Artificial Intelligence in general, and in the theory of belief revision in particular. I focus on two of the best known accounts in the literature: Pagnucco’s abductive expansion functions and Gärdenfors’ counterfactual analysis. I argue that both accounts are at odds with the way in which this notion has historically been understood in philosophy. They are also at odds with the explanatory strategies used in actual scientific practice. (...)
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  38. AI, Concepts, and the Paradox of Mental Representation, with a Brief Discussion of Psychological Essentialism.Eric Dietrich - 2001 - J. Of Exper. And Theor. AI 13 (1):1-7.
    Mostly philosophers cause trouble. I know because on alternate Thursdays I am one -- and I live in a philosophy department where I watch all of them cause trouble. Everyone in artificial intelligence knows how much trouble philosophers can cause (and in particular, we know how much trouble one philosopher -- John Searle -- has caused). And, we know where they tend to cause it: in knowledge representation and the semantics of data structures. This essay is about a recent (...)
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  39. The Phenomenological Mind: An Introduction to Philosophy of Mind and Cognitive Science.Anthony F. Beavers - 2009 - Philosophical Psychology 22 (4):533-537.
    The Phenomenological Mind, by Shaun Gallagher and Dan Zahavi, is part of a recent initiative to show that phenomenology, classically conceived as the tradition inaugurated by Edmund Husserl and not as mere introspection, contributes something important to cognitive science. (For other examples, see “References” below.) Phenomenology, of course, has been a part of cognitive science for a long time. It implicitly informs the works of Andy Clark (e.g. 1997) and John Haugeland (e.g. 1998), and Hubert Dreyfus explicitly uses it (e.g. (...)
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  40.  34
    Wittgenstein's Remarks on the Foundations of Ai.Stuart G. Shanker - 1998 - Routledge.
    _Wittgenstein's Remarks on the Foundations of AI_ is a valuable contribution to the study of Wittgenstein's theories and his controversial attack on artifical intelligence, which successfully crosses a number of disciplines, including philosophy, psychology, logic, artificial intelligence and cognitive science, to provide a stimulating and searching analysis.
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  41.  55
    John Searle's Philosophy of Language: Force, Meaning and Mind • by Savas L. Tsohatzidis.Alex Barber - 2009 - Analysis 69 (2):368-369.
    This collection should be welcomed by anyone working on the subtle interplay between theories of perception, internalism and externalism about mental and linguistic content, and the linguistic expression of mental states. Many of these connections have been put into focus by John Searle, and his views are here subjected to careful scrutiny from a variety of directions. The contributions do not sum to a general discussion of Searle's contributions to the philosophy of mind and language. There is little or (...)
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  42.  2
    John Searle's Philosophy of Language: Force, Meaning and Mind. [REVIEW]Savas Tsohatzidis - 2009 - Analysis 69 (2):368-369.
    This collection should be welcomed by anyone working on the subtle interplay between theories of perception, internalism and externalism about mental and linguistic content, and the linguistic expression of mental states. Many of these connections have been put into focus by John Searle, and his views are here subjected to careful scrutiny from a variety of directions. The contributions do not sum to a general discussion of Searle's contributions to the philosophy of mind and language. There is little or (...)
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  43. Wittgenstein's Remarks on the Foundations of Ai.Stuart G. Shanker - 2002 - Routledge.
    _Wittgenstein's Remarks on the Foundations of AI_ is a valuable contribution to the study of Wittgenstein's theories and his controversial attack on artifical intelligence, which successfully crosses a number of disciplines, including philosophy, psychology, logic, artificial intelligence and cognitive science, to provide a stimulating and searching analysis.
     
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  44.  22
    Robert Cummins and John Pollock (Eds.), Philosophy and AI: Essays at the Interface. [REVIEW]Eric Steinhart - 1997 - Minds and Machines 7 (3):464-468.
  45.  34
    Philosophy and Distributed Artificial Intelligence: The Case of Joint Intention.Raimo Tuomela - 1996 - In N. Jennings & G. O'Hare (eds.), Foundations of Distributed Artificial Intelligence. Wiley.
    In current philosophical research the term 'philosophy of social action' can be used - and has been used - in a broad sense to encompass the following central research topics: 1) action occurring in a social context; this includes multi-agent action; 2) joint attitudes (or "we-attitudes" such as joint intention, mutual belief) and other social attitudes needed for the explication and explanation of social action; 3) social macro-notions, such as actions performed by social groups and properties of social groups (...)
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    A Modal Defence of Strong AI.Steffen Borge - 2007 - The Proceedings of the Twenty-First World Congress of Philosophy 6:127-131.
    John Searle has argued that the aim of strong AI to create a thinking computer is misguided. Searle's "Chinese Room Argument" purports to show that syntax does not suffice for semantics and that computer programs as such must fail to have intrinsic intentionality But we are not mainly interested in the program itself, but rather the implementation of the program in some material. It does not follow by necessity from the fact that computer programs are defined syntactically that the implementation (...)
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  47.  4
    The Role of Philosophy in Cognitive Science.P. Rogers - 1995 - Journal of Consciousness Studies 2 (1):82-82.
    The cognitive science student deserves our sympathy. It is difficult to think of another area of study where there is so much disagreement amongst the constituent parts, and even within those parts themselves -- neuroscience, AI, philosophy, psychology, linguistics, quantum and evolutionary theory. To illustrate this difficulty for the erstwhile student, imagine cognitive science as a collection of ball games with mind/brain/ consciousness as the ball. Instead of being able to concentrate on the one game as one might expect (...)
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  48.  35
    Mental Time Travel and the Philosophy of Memory.André Sant'Anna - forthcoming - Unisinos Journal of Philosophy.
    The idea that episodic memory is a form of mental time travel has played an important role in the development of memory research in the last couple decades. Despite its growing importance in psychology, philosophers have only begun to develop an interest in philosophical questions pertaining to the relationship between memory and mental time travel. Thus, this paper proposes a more systematic discussion of the relationship between memory and mental time travel from the point of view of philosophy. I (...)
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  49. Computing and Philosophy: Selected Papers From IACAP 2014.Vincent C. Müller (ed.) - 2016 - Springer.
    This volume offers very selected papers from the 2014 conference of the “International Association for Computing and Philosophy” (IACAP) - a conference tradition of 28 years. - - - Table of Contents - 0 Vincent C. Müller: - Editorial - 1) Philosophy of computing - 1 Çem Bozsahin: - What is a computational constraint? - 2 Joe Dewhurst: - Computing Mechanisms and Autopoietic Systems - 3 Vincenzo Fano, Pierluigi Graziani, Roberto Macrelli and Gino Tarozzi: - Are Gandy Machines (...)
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  50. 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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