Results for 'philosophy of artificial intelligence'

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  1. 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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  2. 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 (...)
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  3. 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 (...)
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  4. The Philosophy of Artificial Intelligence.Margaret A. Boden (ed.) - 1990 - Oxford University Press.
    This interdisciplinary collection of classical and contemporary readings provides a clear and comprehensive guide to the many hotly-debated philosophical issues at the heart of artificial intelligence.
     
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  5.  85
    Philosophy of Artificial Intelligence: A Critique of the Mechanistic Theory of Mind.Rajakishore Nath - 2009 - Universal Publishers.
    This book deals with the major philosophical issues in the theoretical framework of Artificial Intelligence (AI) in particular and cognitive science in general.
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  6. 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 (...) must be considered. Moreover, this framework is revised and extended in the light of the consideration of a type of multiagent system devoted to afford the issue of scientific discovery both from a conceptual and from a practical point of view. (shrink)
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    Historical Dictionary of Quotations in Cognitive Science: A Treasury of Quotations in Psychology, Philosophy, and Artificial Intelligence.Morton Wagman (ed.) - 2000 - Greenwood Press.
    Focuses on distinguished quotations representing the best thinking in philosophy, psychology, and artificial intelligence from classical civilization to ...
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  8. Systems Theory and Scientific Philosophy: An Application of the Cybernetics of W. Ross Ashby to Personal and Social Philosophy, the Philosophy of Mind, and the Problems of Artificial Intelligence.John Bryant - 1991 - Upa.
    Systems Theory and Scientific Philosophy constitutes a totally new approach to philosophy, the philosophy of mind and the problems of artificial intelligence, and is based upon the pioneering work in cybernetics of W. Ross Ashby. While science is humanity's attempt to know how the world works and philosophy its attempt to know why, scientific philosophy is the application of scientific techniques to questions of philosophy.
     
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  9.  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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  10. 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 (...)
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    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 (...)
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  12. 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 (...)
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    Rethinking Machines: Artificial Intelligence Beyond the Philosophy of Mind.Daniel Estrada - unknown
    Recent philosophy of mind has increasingly focused on the role of technology in shaping, influencing, and extending our mental faculties. Technology extends the mind in two basic ways: through the creative design of artifacts and the purposive use of instruments. If the meaningful activity of technological artifacts were exhaustively described in these mind-dependent terms, then a philosophy of technology would depend entirely on our theory of mind. In this dissertation, I argue that a mind-dependent approach to technology is (...)
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  14.  20
    Dictionary of Cognitive Science: Neuroscience, Psychology, Artificial Intelligence, Linguistics, and Philosophy.Olivier Houdé (ed.) - 2004 - Psychology Press.
    A translation of the renowned French reference book, Vocabulaire de sciences cognitives , the Dictionary of Cognitive Science presents comprehensive definitions of more than 120 terms. The editor and advisory board of specialists have brought together 60 internationally recognized scholars to give the reader a comprehensive understanding of the most current and dynamic thinking in cognitive science. Topics range from Abduction to Writing, and each entry covers its subject from as many perspectives as possible within the domains of psychology, (...) intelligence, neuroscience, philosophy, and linguistics. This multidisciplinary work is an invaluable resource for all collections. (shrink)
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  15. Against the Global Replacement: On the Application of the Philosophy of Artificial Intelligence to Artificial Life.Brian L. Keeley - 1994 - In C. G. Langton (ed.), Artificial Life Iii: Proceedings of the Workshop on Artificial Life. Reading, Mass: Addison-Wesley.
    This paper is a complement to the recent wealth of literature suggesting a strong philosophical relationship between artificial life (A-Life) and artificial intelligence (AI). I seek to point out where this analogy seems to break down, or where it would lead us to draw incorrect conclusions about the philosophical situation of A-Life. First, I sketch a thought experiment (based on the work of Tom Ray) that suggests how a certain subset of A-Life experiments should be evaluated. In (...)
     
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  16. Trends in Legal Knowledge: The Semantic Web and the Regulation of Electronic Social Systems: Papers From the B-4 Workshop on Artificial Intelligence and Law, May 25th- 27th 2005: Xxii World Congress of Philosophy Ivr '05 Granada, May 24th-29th 2005. [REVIEW]Pompeu Casanovas Romeu (ed.) - 2007 - European Press Academic.
  17. Recognition: A Study in the Philosophy of Artificial Intelligence.Kenneth M. Sayre - 1966 - British Journal for the Philosophy of Science 17 (2):165-167.
     
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  18.  32
    Artificial Intelligence and Philosophy of Science: Reasoning by Analogy in Theory Construction.Lindley Darden - 1982 - PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association 1982:147 - 165.
    This paper examines the hypothesis that analogies may play a role in the generation of new ideas that are built into new explanatory theories. Methods of theory construction by analogy, by failed analogy, and by modular components from several analogies are discussed. Two different analyses of analogy are contrasted: direct mapping (Mary Hesse) and shared abstraction (Michael Genesereth). The structure of Charles Darwin's theory of natural selection shows various analogical relations. Finally, an "abstraction for selection theories" is shown to be (...)
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  19.  17
    Recognition: A Study in the Philosophy of Artificial Intelligence.Alan Ross Anderson & Kenneth M. Sayre - 1965 - Philosophical Quarterly 16 (65):387.
  20.  94
    AIonAI: A Humanitarian Law of Artificial Intelligence and Robotics.Hutan Ashrafian - 2015 - Science and Engineering Ethics 21 (1):29-40.
    The enduring progression of artificial intelligence and cybernetics offers an ever-closer possibility of rational and sentient robots. The ethics and morals deriving from this technological prospect have been considered in the philosophy of artificial intelligence, the design of automatons with roboethics and the contemplation of machine ethics through the concept of artificial moral agents. Across these categories, the robotics laws first proposed by Isaac Asimov in the twentieth century remain well-recognised and esteemed due to (...)
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  21. 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 – (...)
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  22.  2
    Recognition: A Study in the Philosophy of Artificial Intelligence[REVIEW]M. P. - 1965 - Review of Metaphysics 19 (1):158-158.
  23. Margaret A Boden, Ed., The Philosophy of Artificial Intelligence Reviewed By.Don Ross - 1991 - Philosophy in Review 11 (4):225-230.
     
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  24. Philosophy of Artificial Intelligence.Eric Dietrich - 2002 - In Lynn Nadel (ed.), The Encyclopedia of Cognitive Science. Macmillan. pp. 203--208.
     
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  25. Margaret A Boden, Ed., The Philosophy of Artificial Intelligence[REVIEW]Don Ross - 1991 - Philosophy in Review 11:225-230.
     
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  26.  4
    Mysticism as a Philosophy of Artificial Intelligence.Martin Ringle - 1980 - Behavioral and Brain Sciences 3 (3):444.
  27.  6
    Minds and Computers: An Introduction to the Philosophy of Artificial Intelligence. By Matt Carter.Guy Lancaster - 2009 - Heythrop Journal 50 (3):565-565.
  28. Recognition: A Study in the Philosophy of Artificial Intelligence[REVIEW]Patrick Bastable - 1966 - Philosophical Studies 15:330-331.
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  29. The Philosophy of Artificial Intelligence, « Oxford Readings in philosophy ».Margaret Boden - 1992 - Revue Philosophique de la France Et de l'Etranger 182 (1):94-95.
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  30. Recognition: A Study in the Philosophy of Artificial Intelligence[REVIEW]Charles R. Dechert - 1967 - New Scholasticism 41 (1):123-126.
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  31. SAYRE, K. M. - "Recognition: A Study in the Philosophy of Artificial Intelligence". [REVIEW]A. R. Manser - 1967 - Mind 76:453.
     
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  32. Recognition, a study in the philosophy of artificial intelligence.Kenneth M. Sayre - 1967 - Les Etudes Philosophiques 22 (4):497-497.
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  33. Recognition: A Study in the Philosophy of Artificial Intelligence.Zeno Vendler & Kenneth M. Sayre - 1968 - Philosophical Review 77 (3):358.
  34. 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.
  35. Philosophy and Cybernetics Essays Delivered to the Philosophic Institute for Artificial Intelligence at the University of Notre Dame.Frederick James Crosson & Kenneth M. Sayre - 1968 - Simon &Schuster.
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  36. The Philosophy & Theory of Artificial Intelligence.Vincent C. Müller (ed.) - 2012 - Springer.
     
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  37. Philosophy and Theory of Artificial Intelligence.S. J. Nasuto & J. M. Bishop - 2013
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  38. Clark Glymour, Richard Scheines, Peter Spirtes and Kevin Kelly, Discovering Causal Structure: Artificial Intelligence, Philosophy of Science and Statistical Modelling Reviewed By.Mike Oaksford - 1990 - Philosophy in Review 10 (1):19-21.
     
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  39. Cognitive Science and the Mind-Body Problem: From Philosophy to Psychology to Artificial Intelligence to Imaging of the Brain.Morton Wagman - 1998 - Praeger.
  40. The Essential Turing: Seminal Writings in Computing, Logic, Philosophy, Artificial Intelligence, and Artificial Life: Plus the Secrets of Enigma.Jack Copeland (ed.) - 2004 - Oxford University Press.
  41. Theoretical Foundations for Artificial-Intelligence and Philosophy of the Mind.B. Marchal - 1990 - Revue Internationale de Philosophie 44 (172):104-107.
  42. Philosophy of language and artificial intelligence.Georg Meggle, Kuno Lorenz, Dietfried Gerhardus & Marcelo Dascal - 1995 - In Georg Meggle, Kuno Lorenz, Dietfried Gerhardus & Marcelo Dascal (eds.), Sprachphilosophie: Ein Internationales Handbuch Zeitgenössischer Forschung. Walter de Gruyter.
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  43.  16
    Margaret A. Boden, Ed., the Philosophy of Artificial Life, Oxford Readings in Philosophy, New York: Oxford University Press, 1996, VIII + 405 Pp., 65.00 (Cloth), ISBN 0-19-875154-0;65.00 (Cloth), ISBN 0-19-875154-0; 19.95 (Paper), ISBN 0-19-875155-. [REVIEW]Michael Ruse - 1999 - Minds and Machines 9 (1):139-143.
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    Margaret A. Boden, Ed., The Philosophy of Artificial Life, Oxford Readings in Philosophy, New York: Oxford University Press, 1996, Viii + 405 Pp., 65.00 (Cloth), ISBN 0-19-875154-0; 19.95 (Paper), ISBN 0-19-875155-. [REVIEW]Michael Ruse - 1998 - Minds and Machines 9 (1):139-143.
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  45. Mind Matters Exloring the World of Artificial Intelligence.James P. Hogan - 1998
     
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  46. 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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    Robert G. Burton, Ed., Natural and Artificial Minds, SUNY Series, Scientific Studies in Natural and Artificial Intelligence, Albany: State University of New York Press, 1993, VII + 245 Pp., $21.95 (Paper), ISBN 0-7914-1508-. [REVIEW]Stan Franklin - 1999 - Minds and Machines 9 (1):143-156.
  48.  38
    Collins's Incorrect Depiction of Dreyfus's Critique of Artificial Intelligence.Evan Selinger - 2008 - Phenomenology and the Cognitive Sciences 7 (2):301-308.
    Harry Collins interprets Hubert Dreyfus’s philosophy of embodiment as a criticism of all possible forms of artificial intelligence. I argue that this characterization is inaccurate and predicated upon a misunderstanding of the relevance of phenomenology for empirical scientific research.
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  49. 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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    Epistemology of AI Revisited in the Light of the Philosophy of Information.Jean-Gabriel Ganascia - 2010 - Knowledge, Technology & 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 (...)
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