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  1. Godel, Escher, Bach: An Eternal Golden Braid.Douglas Richard Hofstadter - 1979 - Hassocks, England: Basic Books.
    A young scientist and mathematician explores the mystery and complexity of human thought processes from an interdisciplinary point of view.
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  • What Computers Still Can’T Do: A Critique of Artificial Reason.Hubert L. Dreyfus - 1992 - MIT Press.
    A Critique of Artificial Reason Hubert L. Dreyfus . HUBERT L. DREYFUS What Computers Still Can't Do Thi s One XZKQ-GSY-8KDG What. WHAT COMPUTERS STILL CAN'T DO Front Cover.
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  • Compositionality: A Connectionist Variation on a Classical Theme.Tim Gelder - 1990 - Cognitive Science 14 (3):355-384.
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  • Enactive artificial intelligence: Investigating the systemic organization of life and mind.Tom Froese & Tom Ziemke - 2009 - Artificial Intelligence 173 (3-4):466-500.
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  • (1 other version)Why Heideggerian ai failed and how fixing it would require making it more Heideggerian.Hubert L. Dreyfus - 2007 - Philosophical Psychology 20 (2):247 – 268.
    MICHAEL WHEELER Cambridge, MA: MIT Press, 2005432 pages, ISBN: 0262232405 (hbk); $35.001.When I was teaching at MIT in the 1960s, students from the Artificial Intelligence Laboratory would come to...
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  • (1 other version)Why Heideggerian AI failed and how fixing it would require making it more Heideggerian.Hubert L. Dreyfus - 2007 - Artificial Intelligence 171 (18):1137-1160.
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  • 20. What Computers Can’t Do: A Critique of Artificial Reason.Hubert L. Dreyfus - 2014 - In Bernard Williams (ed.), Essays and Reviews: 1959-2002. Princeton: Princeton University Press. pp. 90-100.
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  • (1 other version)Autopoiesis, adaptivity, teleology, agency.Ezequiel A. Di Paolo - 2005 - Phenomenology and the Cognitive Sciences 4 (4):429-452.
    A proposal for the biological grounding of intrinsic teleology and sense-making through the theory of autopoiesis is critically evaluated. Autopoiesis provides a systemic language for speaking about intrinsic teleology but its original formulation needs to be elaborated further in order to explain sense-making. This is done by introducing adaptivity, a many-layered property that allows organisms to regulate themselves with respect to their conditions of viability. Adaptivity leads to more articulated concepts of behaviour, agency, sense-construction, health, and temporality than those given (...)
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  • How the Mind Works.Steven Pinker - 1997 - Norton.
    A provocative assessment of human thought and behavior, reissued with a new afterword, explores a range of conundrums from the ability of the mind to perceive three dimensions to the nature of consciousness, in an account that draws on ...
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  • Mind in Life: Biology, Phenomenology, and the Sciences of Mind.Evan Thompson - 2007 - Cambridge, Mass.: Harvard University Press.
    The question has long confounded philosophers and scientists, and it is this so-called explanatory gap between biological life and consciousness that Evan ...
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  • Associative Engines: Connectionism, Concepts, and Representational Change.Andy Clark - 1993 - MIT Press.
    As Ruben notes, the macrostrategy can allow that the distinction may also be drawn at some micro level, but it insists that descent to the micro level is ...
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  • Intelligence without representation.Rodney A. Brooks - 1991 - Artificial Intelligence 47 (1--3):139-159.
    Artificial intelligence research has foundered on the issue of representation. When intelligence is approached in an incremental manner, with strict reliance on interfacing to the real world through perception and action, reliance on representation disappears. In this paper we outline our approach to incrementally building complete intelligent Creatures. The fundamental decomposition of the intelligent system is not into independent information processing units which must interface with each other via representations. Instead, the intelligent system is decomposed into independent and parallel activity (...)
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  • What Computers Can’T Do: The Limits of Artificial Intelligence.Hubert L. Dreyfus - 1972 - Harper & Row.
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  • (1 other version)Computing machinery and intelligence.Alan M. Turing - 1950 - Mind 59 (October):433-60.
    I propose to consider the question, "Can machines think?" This should begin with definitions of the meaning of the terms "machine" and "think." The definitions might be framed so as to reflect so far as possible the normal use of the words, but this attitude is dangerous, If the meaning of the words "machine" and "think" are to be found by examining how they are commonly used it is difficult to escape the conclusion that the meaning and the answer to (...)
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  • The Embodied Mind: Cognitive Science and Human Experience.Francisco J. Varela, Evan Thompson & Eleanor Rosch - 1991 - MIT Press.
    The Embodied Mind provides a unique, sophisticated treatment of the spontaneous and reflective dimension of human experience.
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  • (1 other version)Microcognition: Philosophy, Cognitive Science, and Parallel Distributed Processing.Andy Clark - 1989 - Cambridge: MIT Press.
    Parallel distributed processing is transforming the field of cognitive science. Microcognition provides a clear, readable guide to this emerging paradigm from a cognitive philosopher's point of view. It explains and explores the biological basis of PDP, its psychological importance, and its philosophical relevance.
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  • (1 other version)Microcognition: Philosophy, Cognitive Science, and Parallel Distributed Processing.Andy Clark - 1989 - MIT Press.
    Parallel distributed processing is transforming the field of cognitive science. Microcognition provides a clear, readable guide to this emerging paradigm from a cognitive philosopher's point of view. It explains and explores the biological basis of PDP, its psychological importance, and its philosophical relevance.
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  • (1 other version)Neurophenomenology: A methodological remedy for the hard problem.F. J. Varela - 1996 - Journal of Consciousness Studies 3 (4):330-49.
    This paper responds to the issues raised by D. Chalmers by offering a research direction which is quite radical because of the way in which methodological principles are linked to scientific studies of consciousness. Neuro-phenomenology is the name I use here to designate a quest to marry modern cognitive science and a disciplined approach to human experience, thereby placing myself in the lineage of the continental tradition of Phenomenology. My claim is that the so-called hard problem that animates these Special (...)
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  • (1 other version)Compositionality: A connectionist variation on a classical theme.Tim van Gelder - 1990 - Cognitive Science 14 (3):355-384.
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  • (1 other version)Neurophenomenology: a methodological remedy for the hard problem.F. Varela - 1996 - Journal of Consciousness Studies 3 (4):330-349.
    This paper starts with one of Chalmers’ basic points: first-hand experience is an irreducible field of phenomena. I claim there is no ‘theoretical fix’ or ‘extra ingredient’ in nature that can possibly bridge this gap. Instead, the field of conscious phenomena requires a rigorous method and an explicit pragmatics for its exploration and analysis. My proposed approach, inspired by the style of inquiry of phenomenology, I have called neurophenomenology. It seeks articulations by mutual constraints between phenomena present in experience and (...)
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  • (1 other version)Philosophical Investigations.Ludwig Wittgenstein - 1953 - New York, NY, USA: Wiley-Blackwell. Edited by G. E. M. Anscombe.
    Editorial preface to the fourth edition and modified translation -- The text of the Philosophische Untersuchungen -- Philosophische untersuchungen = Philosophical investigations -- Philosophie der psychologie, ein fragment = Philosophy of psychology, a fragment.
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  • The dynamical hypothesis in cognitive science.Tim van Gelder - 1998 - Behavioral and Brain Sciences 21 (5):615-28.
    According to the dominant computational approach in cognitive science, cognitive agents are digital computers; according to the alternative approach, they are dynamical systems. This target article attempts to articulate and support the dynamical hypothesis. The dynamical hypothesis has two major components: the nature hypothesis (cognitive agents are dynamical systems) and the knowledge hypothesis (cognitive agents can be understood dynamically). A wide range of objections to this hypothesis can be rebutted. The conclusion is that cognitive systems may well be dynamical systems, (...)
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  • Ascribing mental qualities to machines.John McCarthy - 1979 - In Martin Ringle (ed.), Philosophical Perspectives in Artificial Intelligence. Humanities Press.
    Ascribing mental qualities like beliefs, intentions and wants to a machine is sometimes correct if done conservatively and is sometimes necessary to express what is known about its state. We propose some new definitional tools for this: definitions relative to an approximate theory and second order structural definitions.
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  • Artificial intelligence: an empirical science.Herbert A. Simon - 1995 - Artificial Intelligence 77 (1):95-127.
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  • (1 other version)Computing Machinery and Intelligence.Alan M. Turing - 2003 - In John Heil (ed.), Philosophy of Mind: A Guide and Anthology. New York: Oxford University Press.
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  • (1 other version)Autopoiesis, Adaptivity, Teleology, Agency.Ezequiel A. Di Paolo - 2005 - Phenomenology and the Cognitive Sciences 4 (4):429-452.
    A proposal for the biological grounding of intrinsic teleology and sense-making through the theory of autopoiesis is critically evaluated. Autopoiesis provides a systemic lan- guage for speaking about intrinsic teleology but its original formulation needs to be elaborated further in order to explain sense-making. This is done by introducing adaptivity, a many-layered property that allows organisms to regulate themselves with respect to their conditions of via- bility. Adaptivity leads to more articulated concepts of behaviour, agency, sense-construction, health, and temporality than (...)
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  • Wisdom: from philosophy to neuroscience.Stephen S. Hall - 2010 - New York: Alfred A. Knopf.
    A compelling investigation into one of the most coveted and cherished ideals, "Wisdom" also chronicles the efforts of modern science to penetrate the mysterious nature of this timeless virtue.
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  • (1 other version)Compositionality: A connectionist variation on a classical theme.Tim van Gelder - 1990 - Cognitive Science 14 (3):355-84.
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  • Interactions between philosophy and artificial intelligence: The role of intuition and non-logical reasoning in intelligence.Aaron Sloman - 1971 - Artificial Intelligence 2 (3-4):209-225.
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  • Microcognition: Philosophy, Cognitive Science, and Parallel Distributed Processing.Andy Clark - 1991 - Mind 100 (2):290-293.
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