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Philosophy and theory of artificial intelligence 2017

Berlin: Springer (2017)

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  1. Artificial Consciousness and the Consciousness-Attention Dissociation.Harry Haroutioun Haladjian & Carlos Montemayor - 2016 - Consciousness and Cognition 45:210-225.
    Artificial Intelligence is at a turning point, with a substantial increase in projects aiming to implement sophisticated forms of human intelligence in machines. This research attempts to model specific forms of intelligence through brute-force search heuristics and also reproduce features of human perception and cognition, including emotions. Such goals have implications for artificial consciousness, with some arguing that it will be achievable once we overcome short-term engineering challenges. We believe, however, that phenomenal consciousness cannot be implemented in machines. This becomes (...)
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  • Minds, Brains, and Programs.John R. Searle - 1980 - Behavioral and Brain Sciences 3 (3):417-57.
    What psychological and philosophical significance should we attach to recent efforts at computer simulations of human cognitive capacities? In answering this question, I find it useful to distinguish what I will call "strong" AI from "weak" or "cautious" AI. According to weak AI, the principal value of the computer in the study of the mind is that it gives us a very powerful tool. For example, it enables us to formulate and test hypotheses in a more rigorous and precise fashion. (...)
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  • Conceptual Analysis, Dualism, and the Explanatory Gap.Ned Block & Robert Stalnaker - 1999 - Philosophical Review 108 (1):1-46.
    The explanatory gap . Consciousness is a mystery. No one has ever given an account, even a highly speculative, hypothetical, and incomplete account of how a physical thing could have phenomenal states. Suppose that consciousness is identical to a property of the brain, say activity in the pyramidal cells of layer 5 of the cortex involving reverberatory circuits from cortical layer 6 to the thalamus and back to layers 4 and 6,as Crick and Koch have suggested for visual consciousness. .) (...)
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  • Conceptual Analysis, Dualism, and the Explanatory Gap.Ned Block & Robert Stalnaker - 1999 - Philosophical Review 108 (1):1-46.
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  • 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 Extended Mind.Andy Clark & David J. Chalmers - 1998 - Analysis 58 (1):7-19.
    Where does the mind stop and the rest of the world begin? The question invites two standard replies. Some accept the demarcations of skin and skull, and say that what is outside the body is outside the mind. Others are impressed by arguments suggesting that the meaning of our words "just ain't in the head", and hold that this externalism about meaning carries over into an externalism about mind. We propose to pursue a third position. We advocate a very different (...)
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  • Materialism and Qualia: The Explanatory Gap.Joseph Levine - 1983 - Pacific Philosophical Quarterly 64 (October):354-61.
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  • Intentional Systems.Daniel C. Dennett - 1971 - Journal of Philosophy 68 (February):87-106.
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  • What is Morphological Computation? On How the Body Contributes to Cognition and Control.Vincent C. Müller & Matej Hoffmann - 2017 - Artificial Life 23 (1):1-24.
    The contribution of the body to cognition and control in natural and artificial agents is increasingly described as “off-loading computation from the brain to the body”, where the body is said to perform “morphological computation”. Our investigation of four characteristic cases of morphological computation in animals and robots shows that the ‘off-loading’ perspective is misleading. Actually, the contribution of body morphology to cognition and control is rarely computational, in any useful sense of the word. We thus distinguish (1) morphology that (...)
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  • The Information Integration Theory of Consciousness.Giulio Tononi - 2007 - In Max Velmans & Susan Schneider (eds.), The Blackwell Companion to Consciousness. Blackwell. pp. 287--299.
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  • Progress in Machine Consciousness.David Gamez - 2008 - Consciousness and Cognition 17 (3):887-910.
    This paper is a review of the work that has been carried out on machine consciousness. A clear overview of this diverse field is achieved by breaking machine consciousness down into four different areas, which are used to understand its aims, discuss its relationship with other subjects and outline the work that has been carried out so far. The criticisms that have been made against machine consciousness are also covered, along with its potential benefits, and the work that has been (...)
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  • Other Bodies, Other Minds: A Machine Incarnation of an Old Philosophical Problem. [REVIEW]Stevan Harnad - 1991 - Minds and Machines 1 (1):43-54.
    Explaining the mind by building machines with minds runs into the other-minds problem: How can we tell whether any body other than our own has a mind when the only way to know is by being the other body? In practice we all use some form of Turing Test: If it can do everything a body with a mind can do such that we can't tell them apart, we have no basis for doubting it has a mind. But what is (...)
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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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  • Physical Symbol Systems.Allen Newell - 1980 - Cognitive Science 4 (2):135-83.
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  • The Vegetative State and the Science of Consciousness.Nicholas Shea & Tim Bayne - 2010 - British Journal for the Philosophy of Science 61 (3):459.
    Consciousness in experimental subjects is typically inferred from reports and other forms of voluntary behaviour. A wealth of everyday experience confirms that healthy subjects do not ordinarily behave in these ways unless they are conscious. Investigation of consciousness in vegetative state patients has been based on the search for neural evidence that such broad functional capacities are preserved in some vegetative state patients. We call this the standard approach. To date, the results of the standard approach have suggested that some (...)
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  • Symbolic Versus Associative Learning.John E. Hummel - 2010 - Cognitive Science 34 (6):958-965.
    Ramscar and colleagues (2010, this volume) describe the “feature-label-order” (FLO) effect on category learning and characterize it as a constraint on symbolic learning. I argue that FLO is neither a constraint on symbolic learning in the sense of “learning elements of a symbol system” (instead, it is an effect on nonsymbolic, association learning) nor is it, more than any other constraint on category learning, a constraint on symbolic learning in the sense of “solving the symbol grounding problem.”.
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  • How to Construct a Minimal Theory of Mind.Stephen A. Butterfill & Ian A. Apperly - 2013 - Mind and Language 28 (5):606-637.
    What could someone represent that would enable her to track, at least within limits, others' perceptions, knowledge states and beliefs including false beliefs? An obvious possibility is that she might represent these very attitudes as such. It is sometimes tacitly or explicitly assumed that this is the only possible answer. However, we argue that several recent discoveries in developmental, cognitive, and comparative psychology indicate the need for other, less obvious possibilities. Our aim is to meet this need by describing the (...)
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  • On Computable Numbers, with an Application to the N Tscheidungsproblem.Alan Turing - 1936 - Proceedings of the London Mathematical Society 42 (1):230-265.
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  • Shared Goals and Development.Olle Blomberg - 2015 - Philosophical Quarterly 65 (258):94-101.
    In 'Joint Action and Development', Stephen Butterfill argues that if several agents' actions are driven by what he calls a "shared goal"—a certain pattern of goal-relations and expectations—then these actions constitute a joint action. This kind of joint action is sufficiently cognitively undemanding for children to engage in, and therefore has the potential to play a part in fostering their understanding of other minds. Part of the functional role of shared goals is to enable agents to choose means that are (...)
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  • Troubles with Functionalism.Ned Block - 1978 - In Alvin Goldman (ed.), Readings in Philosophy and Cognitive Science. Cambridge: MIT Press. pp. 231.
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  • Troubles with Functionalism.Ned Block - 1978 - Minnesota Studies in the Philosophy of Science 9:261-325.
    The functionalist view of the nature of the mind is now widely accepted. Like behaviorism and physicalism, functionalism seeks to answer the question "What are mental states?" I shall be concerned with identity thesis formulations of functionalism. They say, for example, that pain is a functional state, just as identity thesis formulations of physicalism say that pain is a physical state.
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  • Autopoiesis and Cognition: The Realization of the Living.Humberto Muturana, H. R. Maturana & F. J. Varela - 1973/1980 - D. Reidel Publishing Company.
    This is a bold, brilliant, provocative and puzzling work. It demands a radical shift in standpoint, an almost paradoxical posture in which living systems are described in terms of what lies outside the domain of descriptions. Professor Humberto Maturana, with his colleague Francisco Varela, have undertaken the construction of a systematic theoretical biology which attempts to define living systems not as they are objects of observation and description, nor even as in teracting systems, but as self-contained unities whose only reference (...)
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  • Moral and Rational Commitment.Sam Shpall - 2014 - Philosophy and Phenomenological Research 88 (1):146-172.
    Argues that the normative relation of commitment is routinely overlooked by philosophers, and that investigating it reveals some interesting similarities between the moral and rational domains.
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  • The Foundations of Geometry.David Hilbert - 1899 - Open Court Company (This Edition Published 1921).
    §30. Significance of Desargues's theorem . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64 CHAPTER VI. PASCAL'S THEOREM. §31. ...
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  • Is Justified True Belief Knowledge?Edmund L. Gettier - 1963 - Analysis 23 (6):121.
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  • Computation and Consciousness.Tim Maudlin - 1989 - Journal of Philosophy 86 (8):407.
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  • Matter and Consciousness.Paul M. Churchland - 1985 - MIT Press.
    In _Matter and Consciousness_, Paul Churchland presents a concise and contemporary overview of the philosophical issues surrounding the mind and explains the main theories and philosophical positions that have been proposed to solve them. Making the case for the relevance of theoretical and experimental results in neuroscience, cognitive science, and artificial intelligence for the philosophy of mind, Churchland reviews current developments in the cognitive sciences and offers a clear and accessible account of the connections to philosophy of mind. For this (...)
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  • The Conscious Mind: In Search of a Fundamental Theory.David J. Chalmers - 1996 - Oxford University Press.
    The book is an extended study of the problem of consciousness. After setting up the problem, I argue that reductive explanation of consciousness is impossible , and that if one takes consciousness seriously, one has to go beyond a strict materialist framework. In the second half of the book, I move toward a positive theory of consciousness with fundamental laws linking the physical and the experiential in a systematic way. Finally, I use the ideas and arguments developed earlier to defend (...)
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  • The Species Problem: A Philosophical Analysis.Richard A. Richards - 2010 - Cambridge University Press.
    There is long-standing disagreement among systematists about how to divide biodiversity into species. Over twenty different species concepts are used to group organisms, according to criteria as diverse as morphological or molecular similarity, interbreeding and genealogical relationships. This, combined with the implications of evolutionary biology, raises the worry that either there is no single kind of species, or that species are not real. This book surveys the history of thinking about species from Aristotle to modern systematics in order to understand (...)
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  • On a Confusion About a Function of Consciousness.Ned Block - 1995 - Brain and Behavioral Sciences 18 (2):227-–247.
    Consciousness is a mongrel concept: there are a number of very different "consciousnesses." Phenomenal consciousness is experience; the phenomenally conscious aspect of a state is what it is like to be in that state. The mark of access-consciousness, by contrast, is availability for use in reasoning and rationally guiding speech and action. These concepts are often partly or totally conflated, with bad results. This target article uses as an example a form of reasoning about a function of "consciousness" based on (...)
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  • An Information Continuum Conjecture.Ken Herold - 2003 - Minds and Machines 13 (4):553-566.
    Turing tersely mentioned a notion of ``cultural search'' while otherwise deeply engaged in the design and operations of one of the earliest computers. His idea situated the individual squarely within a collaborative intellectual environment, but did he mean to suggest this in the form of a general information system? In the same writing Turing forecast mechanizations of proofs and outlined genetical searches, much later implemented in cellular automata. The conjecture explores the networked data-information-knowledge continuum as the subject of Turing's notions (...)
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  • The Intentional Stance.Daniel C. Dennett - 1987 - MIT Press.
    Through the use of such "folk" concepts as belief, desire, intention, and expectation, Daniel Dennett asserts in this first full scale presentation of...
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  • True Believers : The Intentional Strategy and Why It Works.Daniel C. Dennett - 1981 - In A. F. Heath (ed.), Scientific Explanation: Papers Based on Herbert Spencer Lectures Given in the University of Oxford. Clarendon Press. pp. 150--167.
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  • Opinions and Outlooks on Morphological Computation.Helmut Hauser, Rudolf M. Füchslin & Rolf Pfeifer (eds.) - 2014 - E-Book.
    Morphological Computation is based on the observation that biological systems seem to carry out relevant computations with their morphology (physical body) in order to successfully interact with their environments. This can be observed in a whole range of systems and at many different scales. It has been studied in animals – e.g., while running, the functionality of coping with impact and slight unevenness in the ground is "delivered" by the shape of the legs and the damped elasticity of the muscle-tendon (...)
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  • Surfing Uncertainty: Prediction, Action, and the Embodied Mind.Andy Clark - 2016 - Oxford University Press USA.
    How is it that thoroughly physical material beings such as ourselves can think, dream, feel, create and understand ideas, theories and concepts? How does mere matter give rise to all these non-material mental states, including consciousness itself? An answer to this central question of our existence is emerging at the busy intersection of neuroscience, psychology, artificial intelligence, and robotics.In this groundbreaking work, philosopher and cognitive scientist Andy Clark explores exciting new theories from these fields that reveal minds like ours to (...)
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  • The Meaning of 'Meaning'.Hillary Putnam - 1975 - Minnesota Studies in the Philosophy of Science 7:131-193.
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  • The Beginning of Infinity: Explanations That Transform the World.David Deutsch - 2011 - Viking Adult.
    The reach of explanations -- Closer to reality -- The spark -- Creation -- The reality of abstractions -- The jump to universality -- Artificial creativity -- A window on infinity -- Optimism -- A dream of Socrates -- The multiverse -- A physicist's history of bad philosophy -- Choices -- Why are flowers beautiful? -- The evolution of culture -- The evolution of creativity -- Unsustainable -- The beginning.
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  • Mind as Machine: A History of Cognitive Science.Margaret Boden - 2006 - Oxford University Press.
    Cognitive science is the project of understanding the mind by modelling its workings. Its development is one of the most remarkable and fascinating intellectual achievements of the modern era. Mind as Machine is a masterful history of cognitive science, told by one of its most eminent practitioners.
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  • What is Cognition? Angsty Monism, Permissive Pluralism(s), and the Future of Cognitive Science.Cameron Buckner & Ellen Fridland - 2017 - Synthese (11):4191-4195.
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  • Consciousness and Computation.Paul Schweizer - 2002 - Minds and Machines 12 (1):143-144.
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  • Shadows of the Mind a Search for the Missing Science of Consciousness.Roger Penrose - 1995 - Arrow.
    This new book by the award-winning scientist and author of The Emperor's New Mind is a profound exploration of what modern physics has to tell us about the mind. It also gives a visionary description of what a new physics might look like.
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  • A Theory of Understanding: Philosophical and Psychological Perspectives.David Chart - 2000 - Routledge.
    This title was first published in 2000. Philosophers have been greatly concerned with the nature of explanation, but no account has been fully satisfactory within science or plausible in the wider world. The author asserts that this is due to a misplaced focus and that instead of focusing on explanation, philosophers should consider understanding. This work outlines his theory and defends it against some objections. Attempts to understand understanding can become self-referential, but the book is intended to enable readers to (...)
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  • Minds, Brains, and Programs.John Searle - 1980 - In John Heil (ed.), Philosophy of Mind: A Guide and Anthology. Oxford University Press.
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  • Computing Machinery and Intelligence.Alan M. Turing - 2003 - In John Heil (ed.), Philosophy of Mind: A Guide and Anthology. Oxford University Press.
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  • Individualism and the Mental.Tyler Burge - 2003 - In John Heil (ed.), Philosophy of Mind: A Guide and Anthology. Oxford University Press.
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  • Solving the Symbol Grounding Problem: A Critical Review of Fifteen Years of Research.Mariarosaria Taddeo & Luciano Floridi - unknown
    This article reviews eight proposed strategies for solving the Symbol Grounding Problem (SGP), which was given its classic formulation in Harnad (1990). After a concise introduction, we provide an analysis of the requirement that must be satisfied by any hypothesis seeking to solve the SGP, the zero semantical commitment condition. We then use it to assess the eight strategies, which are organised into three main approaches: representationalism, semi-representationalism and non-representationalism. The conclusion is that all the strategies are semantically committed and (...)
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  • Consciousness and the Computational Mind.RAY JACKENDOFF - 1987 - MIT Press.
    Examining one of the fundamental issues in cognitive psychology: How does our conscious experience come to be the way it is?
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  • The Problem of Consciousness: Essays Toward a Resolution.Colin McGINN - 1991 - Blackwell.
    This book argues that we are not equipped to understand the workings of conciousness, despite its objective naturalness.
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  • Cognitive Science.Paul Thagard - 2008 - Stanford Encyclopedia of Philosophy.
    Cognitive science is the interdisciplinary investigation of mind and intelligence, embracing psychology, neuroscience, anthropology, artificial intelligence, and philosophy. There are many important philosophical questions related to this investigation, but this short chapter will focus on the following three. What is the nature of the explanations and theories developed in cognitive science? What are the relations among the five disciplines that comprise cognitive science? What are the implications of cognitive science research for general issues in the philosophy of science? I will (...)
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  • When Will Computer Hardware Match the Human Brain?Hans Moravec - 1998 - Journal of Evolution and Technology 1 (1):10.
    Computers have far to go to match human strengths, and our estimates will depend on analogy and extrapolation. Fortunately, these are grounded in the first bit of the journey, now behind us. Thirty years of computer vision reveals that 1 MIPS can extract simple features from real-time imagery--tracking a white line or a white spot on a mottled background. 10 MIPS can follow complex gray-scale patches--as smart bombs, cruise missiles and early self-driving vans attest. 100 MIPS can follow moderately unpredictable (...)
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