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Minds and Machines

In Sidney Hook (ed.), Dimensions Of Mind: A Symposium. NY: NEW YORK University Press. pp. 138-164 (1960)

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  1. (1 other version)Minds, brains, and programs.John 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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  • (1 other version)Idealism and the Mind-Body Problem.David Chalmers - 2019 - In William Seager (ed.), The Routledge Handbook of Panpsychism. Routledge. pp. 353-373.
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  • No Work for a Theory of Grounding.Jessica M. Wilson - 2014 - Inquiry: An Interdisciplinary Journal of Philosophy 57 (5-6):535-579.
    It has recently been suggested that a distinctive metaphysical relation— ‘Grounding’—is ultimately at issue in contexts in which some goings-on are said to hold ‘in virtue of’’, be ‘metaphysically dependent on’, or be ‘nothing over and above’ some others. Grounding is supposed to do good work in illuminating metaphysical dependence. I argue that Grounding is also unsuited to do this work. To start, Grounding alone cannot do this work, for bare claims of Grounding leave open such basic questions as whether (...)
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  • Perceptual symbol systems.Lawrence W. Barsalou - 1999 - Behavioral and Brain Sciences 22 (4):577-660.
    Prior to the twentieth century, theories of knowledge were inherently perceptual. Since then, developments in logic, statis- tics, and programming languages have inspired amodal theories that rest on principles fundamentally different from those underlying perception. In addition, perceptual approaches have become widely viewed as untenable because they are assumed to implement record- ing systems, not conceptual systems. A perceptual theory of knowledge is developed here in the context of current cognitive science and neuroscience. During perceptual experience, association areas in the (...)
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  • Methodological solipsism considered as a research strategy in cognitive psychology.Jerry A. Fodor - 1979 - Behavioral and Brain Sciences 3 (1):63-73.
    The paper explores the distinction between two doctrines, both of which inform theory construction in much of modern cognitive psychology: the representational theory of mind and the computational theory of mind. According to the former, propositional attitudes are to be construed as relations that organisms bear to mental representations. According to the latter, mental processes have access only to formal (nonsemantic) properties of the mental representations over which they are defined.The following claims are defended: (1) That the traditional dispute between (...)
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  • On language and connectionism: Analysis of a parallel distributed processing model of language acquisition.Steven Pinker & Alan Prince - 1988 - Cognition 28 (1-2):73-193.
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  • AI wellbeing.Simon Goldstein & Cameron Domenico Kirk-Giannini - 2025 - Asian Journal of Philosophy 4 (1):1-22.
    Under what conditions would an artificially intelligent system have wellbeing? Despite its clear bearing on the ethics of human interactions with artificial systems, this question has received little direct attention. Because all major theories of wellbeing hold that an individual’s welfare level is partially determined by their mental life, we begin by considering whether artificial systems have mental states. We show that a wide range of theories of mental states, when combined with leading theories of wellbeing, predict that certain existing (...)
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  • Integrating psychology and neuroscience: functional analyses as mechanism sketches.Gualtiero Piccinini & Carl Craver - 2011 - Synthese 183 (3):283-311.
    We sketch a framework for building a unified science of cognition. This unification is achieved by showing how functional analyses of cognitive capacities can be integrated with the multilevel mechanistic explanations of neural systems. The core idea is that functional analyses are sketches of mechanisms , in which some structural aspects of a mechanistic explanation are omitted. Once the missing aspects are filled in, a functional analysis turns into a full-blown mechanistic explanation. By this process, functional analyses are seamlessly integrated (...)
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  • How we know our minds: The illusion of first-person knowledge of intentionality.Alison Gopnik - 1993 - Behavioral and Brain Sciences 16 (1):1-14.
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  • The nature and plausibility of cognitivism.John Haugeland - 1978 - Behavioral and Brain Sciences 1 (2):215-26.
    Cognitivism in psychology and philosophy is roughly the position that intelligent behavior can (only) be explained by appeal to internal that is, rational thought in a very broad sense. Sections 1 to 5 attempt to explicate in detail the nature of the scientific enterprise that this intuition has inspired. That enterprise is distinctive in at least three ways: It relies on a style of explanation which is different from that of mathematical physics, in such a way that it is not (...)
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  • Book: Cognitive Design for Artificial Minds.Antonio Lieto - 2021 - London, UK: Routledge, Taylor & Francis Ltd.
    Book Description (Blurb): Cognitive Design for Artificial Minds explains the crucial role that human cognition research plays in the design and realization of artificial intelligence systems, illustrating the steps necessary for the design of artificial models of cognition. It bridges the gap between the theoretical, experimental and technological issues addressed in the context of AI of cognitive inspiration and computational cognitive science. -/- Beginning with an overview of the historical, methodological and technical issues in the field of Cognitively-Inspired Artificial Intelligence, (...)
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  • Mental action.Antonia Peacocke - 2021 - Philosophy Compass 16 (6):e12741.
    Just as bodily actions are things you do with your body, mental actions are things you do with your mind. Both are different from things that merely happen to you. Where does the idea of mental action come from? What are mental actions? And why do they matter in philosophy? These are the three main questions answered in this paper. Section 1 introduces mental action through a brief history of the topic in philosophy. Section 2 explains what it is to (...)
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  • Functionalism.Janet Levin - 2008 - Stanford Encyclopedia of Philosophy.
    Functionalism in the philosophy of mind is the doctrine that what makes something a mental state of a particular type does not depend on its internal constitution, but rather on the way it functions, or the role it plays, in the system of which it is a part. This doctrine is rooted in Aristotle's conception of the soul, and has antecedents in Hobbes's conception of the mind as a “calculating machine”, but it has become fully articulated (and popularly endorsed) only (...)
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  • Philosophy of Psychiatry.Jonathan Y. Tsou - 2021 - Cambridge: Cambridge University Press.
    Jonathan Y. Tsou examines and defends positions on central issues in philosophy of psychiatry. The positions defended assume a naturalistic and realist perspective and are framed against skeptical perspectives on biological psychiatry. Issues addressed include the reality of mental disorders; mechanistic and disease explanations of abnormal behavior; definitions of mental disorder; natural and artificial kinds in psychiatry; biological essentialism and the projectability of psychiatric categories; looping effects and the stability of mental disorders; psychiatric classification; and the validity of the DSM's (...)
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  • Computing mechanisms.Gualtiero Piccinini - 2007 - Philosophy of Science 74 (4):501-526.
    This paper offers an account of what it is for a physical system to be a computing mechanism—a system that performs computations. A computing mechanism is a mechanism whose function is to generate output strings from input strings and (possibly) internal states, in accordance with a general rule that applies to all relevant strings and depends on the input strings and (possibly) internal states for its application. This account is motivated by reasons endogenous to the philosophy of computing, namely, doing (...)
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  • Pressing the flesh: A tension in the study of the embodied, embedded mind.Andy Clark - 2008 - Philosophy and Phenomenological Research 76 (1):37–59.
    Mind, it is increasingly fashionable to assert, is an intrinsically embodied and environmentally embedded phenomenon. But there is a potential tension between two strands of thought prominent in this recent literature. One of those strands depicts the body as special, and the fine details of a creature’s embodiment as a major constraint on the nature of its mind: a kind of new-wave body-centrism. The other depicts the body as just one element in a kind of equal-partners dance between brain, body (...)
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  • Extended mind, functionalism and personal identity.Miljana Milojevic - 2020 - Synthese 197 (5):2143-2170.
    In this paper, I address one recent objection to Andy Clark and David Chalmers’s functionalist argument for the extended mind thesis. This objection is posed by Kengo Miyazono, who claims that they unjustifiably identify the original cognitive subject with the hybrid one in order to reach their conclusion about the mind extension. His attack consists of three steps: distinguishing hybrid from traditional cognitive subjects based on the systems reply originally directed at Searle’s Chinese room argument; pointing out that the conclusion (...)
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  • (1 other version)Subsymbolic computation and the chinese room.David J. Chalmers - 1992 - In John Dinsmore (ed.), The Symbolic and Connectionist Paradigms: Closing the Gap. Lawrence Erlbaum. pp. 25--48.
    More than a decade ago, philosopher John Searle started a long-running controversy with his paper “Minds, Brains, and Programs” (Searle, 1980a), an attack on the ambitious claims of artificial intelligence (AI). With his now famous _Chinese Room_ argument, Searle claimed to show that despite the best efforts of AI researchers, a computer could never recreate such vital properties of human mentality as intentionality, subjectivity, and understanding. The AI research program is based on the underlying assumption that all important aspects of (...)
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  • Giving Dualism its Due.William G. Lycan - 2009 - Australasian Journal of Philosophy 87 (4):551-563.
    Despite the current resurgence of modest forms of mind–body dualism, traditional Cartesian immaterial-substance dualism has few, if any, defenders. This paper argues that no convincing case has been made against substance dualism, and that standard objections to it can be credibly answered.
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  • The informational nature of personal identity.Luciano Floridi - 2011 - Minds and Machines 21 (4):549-566.
    In this paper, I present an informational approach to the nature of personal identity. In “Plato and the problem of the chariot”, I use Plato’s famous metaphor of the chariot to introduce a specific problem regarding the nature of the self as an informational multiagent system: what keeps the self together as a whole and coherent unity? In “Egology and its two branches” and “Egology as synchronic individualisation”, I outline two branches of the theory of the self: one concerning the (...)
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  • The Mind/Brain Identity Theory.Jjc Smart - 2007 - Stanford Encyclopedia of Philosophy.
    The identity theory of mind holds that states and processes of the mind are identical to states and processes of the brain. Strictly speaking, it need not hold that the mind is identical to the brain. Idiomatically we do use ‘She has a good mind’ and ‘She has a good brain’ interchangeably but we would hardly say ‘Her mind weighs fifty ounces’. Here I take identifying mind and brain as being a matter of identifying processes and perhaps states of the (...)
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  • The Mind as Neural Software? Understanding Functionalism, Computationalism, and Computational Functionalism.Gualtiero Piccinini - 2010 - Philosophy and Phenomenological Research 81 (2):269-311.
    Defending or attacking either functionalism or computationalism requires clarity on what they amount to and what evidence counts for or against them. My goal here is not to evaluate their plausibility. My goal is to formulate them and their relationship clearly enough that we can determine which type of evidence is relevant to them. I aim to dispel some sources of confusion that surround functionalism and computationalism, recruit recent philosophical work on mechanisms and computation to shed light on them, and (...)
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  • Two views of realization.Robert A. Wilson - 2001 - Philosophical Studies 104 (1):1-31.
    This paper examines the standard view of realization operative incontemporary philosophy of mind, and proposes an alternative, generalperspective on realization. The standard view can be expressed, insummary form, as the conjunction of two theses, the sufficiency thesis andthe constitutivity thesis. Physicalists of both reductionist and anti-reductionist persuasions share a conception of realization wherebyrealizations are determinative of the properties they realize and physically constitutive of the individuals with those properties. Centralto the alternative view that I explore here is the idea that (...)
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  • Computation in physical systems.Gualtiero Piccinini - 2010 - Stanford Encyclopedia of Philosophy.
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  • Computational modeling vs. computational explanation: Is everything a Turing machine, and does it matter to the philosophy of mind?Gualtiero Piccinini - 2007 - Australasian Journal of Philosophy 85 (1):93 – 115.
    According to pancomputationalism, everything is a computing system. In this paper, I distinguish between different varieties of pancomputationalism. I find that although some varieties are more plausible than others, only the strongest variety is relevant to the philosophy of mind, but only the most trivial varieties are true. As a side effect of this exercise, I offer a clarified distinction between computational modelling and computational explanation.<br><br>.
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  • A neurofunctional theory of visual consciousness.Jesse Prinz - 2000 - Consciousness and Cognition 9 (2):243-59.
    This paper develops an empirically motivated theory of visual consciousness. It begins by outlining neuropsychological support for Jackendoff's (1987) hypothesis that visual consciousness involves mental representations at an intermediate level of processing. It then supplements that hypothesis with the further requirement that attention, which can come under the direction of high level representations, is also necessary for consciousness. The resulting theory is shown to have a number of philosophical consequences. If correct, higher-order thought accounts, the multiple drafts account, and the (...)
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  • Triviality arguments against functionalism.Peter Godfrey-Smith - 2009 - Philosophical Studies 145 (2):273 - 295.
    “Triviality arguments” against functionalism in the philosophy of mind hold that the claim that some complex physical system exhibits a given functional organization is either trivial or has much less content than is usually supposed. I survey several earlier arguments of this kind, and present a new one that overcomes some limitations in the earlier arguments. Resisting triviality arguments is possible, but requires functionalists to revise popular views about the “autonomy” of functional description.
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  • Hypercomputation.B. Jack Copeland - 2002 - Minds and Machines 12 (4):461-502.
    A survey of the field of hypercomputation, including discussion of a variety of objections.
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  • I—Fundamental Powers, Evolved Powers, and Mental Powers.Alexander Bird - 2018 - Aristotelian Society Supplementary Volume 92 (1):247-275.
    Powers have in recent years become a central component of many philosophers’ ontology of properties. While I have argued that powers exist at the fundamental level of properties, many other theorists of powers hold that there are also non-fundamental powers. In this paper I articulate my reasons for being sceptical about the existing reasons for holding that there are non-fundamental powers. However, I also want to promote a different argument for the existence of a certain class of non-fundamental powers: properties (...)
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  • New developments in the philosophy of AI.Vincent C. Müller - 2016 - In Vincent C. Müller (ed.), 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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  • (1 other version)Functionalism, computationalism, and mental contents.Gualtiero Piccinini - 2004 - Canadian Journal of Philosophy 34 (3):375-410.
    Some philosophers have conflated functionalism and computationalism. I reconstruct how this came about and uncover two assumptions that made the conflation possible. They are the assumptions that (i) psychological functional analyses are computational descriptions and (ii) everything may be described as performing computations. I argue that, if we want to improve our understanding of both the metaphysics of mental states and the functional relations between them, we should reject these assumptions. # 2004 Elsevier Ltd. All rights reserved.
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  • The Nature and Implementation of Representation in Biological Systems.Mike Collins - 2009 - Dissertation, City University of New York
    I defend a theory of mental representation that satisfies naturalistic constraints. Briefly, we begin by distinguishing (i) what makes something a representation from (ii) given that a thing is a representation, what determines what it represents. Representations are states of biological organisms, so we should expect a unified theoretical framework for explaining both what it is to be a representation as well as what it is to be a heart or a kidney. I follow Millikan in explaining (i) in terms (...)
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  • (1 other version)Functionalism, Computationalism, & Mental States.Gualtiero Piccinini - 2004 - Studies in History and Philosophy of Science 35 (4):811-833.
    Some philosophers have conflated functionalism and computationalism. I reconstruct how this came about and uncover two assumptions that made the conflation possible. They are the assumptions that (i) psychological functional analyses are computational descriptions and (ii) everything may be described as performing computations. I argue that, if we want to improve our understanding of both the metaphysics of mental states and the functional relations between them, we should reject these assumptions.
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  • Out of our skull, in our skin: the Microbiota-Gut-Brain axis and the Extended Cognition Thesis.Federico Boem, Gabriele Ferretti & Silvano Zipoli Caiani - 2021 - Biology and Philosophy 36 (2):1-32.
    According to a shared functionalist view in philosophy of mind, a cognitive system, and cognitive function thereof, is based on the components of the organism it is realized by which, indeed, play a causal role in regulating our cognitive processes. This led philosophers to suggest also that, thus, cognition could be seen as an extended process, whose vehicle can extend not only outside the brain but also beyond bodily boundaries, on different kinds of devices. This is what we call the (...)
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  • Wave-functionalism.Valia Allori - 2021 - Synthese 199 (5-6):12271-12293.
    In this paper I present a new perspective for interpreting the wavefunction as a non-material, non-epistemic, non-representational entity. I endorse a functional view according to which the wavefunction is defined by its roles in the theory. I argue that this approach shares some similarities with the nomological account of the wave function as well as with the pragmatist and epistemic approaches to quantum theory, while avoiding the major objections of these alternatives.
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  • Mental imagery.Nigel J. T. Thomas - 2001 - Stanford Encyclopedia of Philosophy.
    Mental imagery (varieties of which are sometimes colloquially refered to as “visualizing,” “seeing in the mind's eye,” “hearing in the head,” “imagining the feel of,” etc.) is quasi-perceptual experience; it resembles perceptual experience, but occurs in the absence of the appropriate external stimuli. It is also generally understood to bear intentionality (i.e., mental images are always images of something or other), and thereby to function as a form of mental representation. Traditionally, visual mental imagery, the most discussed variety, was thought (...)
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  • Three Roles of Empirical Information in Philosophy: Intuitions on Mathematics do Not Come for Free.Deniz Sarikaya, José Antonio Pérez-Escobar & Deborah Kant - 2021 - Kriterion – Journal of Philosophy 35 (3):247-278.
    This work gives a new argument for ‘Empirical Philosophy of Mathematical Practice’. It analyses different modalities on how empirical information can influence philosophical endeavours. We evoke the classical dichotomy between “armchair” philosophy and empirical/experimental philosophy, and claim that the latter should in turn be subdivided in three distinct styles: Apostate speculator, Informed analyst, and Freeway explorer. This is a shift of focus from the source of the information towards its use by philosophers. We present several examples from philosophy of mind/science (...)
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  • Semiotic Systems, Computers, and the Mind: How Cognition Could Be Computing.William J. Rapaport - 2012 - International Journal of Signs and Semiotic Systems 2 (1):32-71.
    In this reply to James H. Fetzer’s “Minds and Machines: Limits to Simulations of Thought and Action”, I argue that computationalism should not be the view that (human) cognition is computation, but that it should be the view that cognition (simpliciter) is computable. It follows that computationalism can be true even if (human) cognition is not the result of computations in the brain. I also argue that, if semiotic systems are systems that interpret signs, then both humans and computers are (...)
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  • Microfunctionalism: Connectionism and the Scientific Explanation of Mental States.Andy Clark - 1989 - In Microcognition: Philosophy, Cognitive Science, and Parallel Distributed Processing. Cambridge: MIT Press.
    This is an amended version of material that first appeared in A. Clark, Microcognition: Philosophy, Cognitive Science, and Parallel Distributed Processing (MIT Press, Cambridge, MA, 1989), Ch. 1, 2, and 6. It appears in German translation in Metzinger,T (Ed) DAS LEIB-SEELE-PROBLEM IN DER ZWEITEN HELFTE DES 20 JAHRHUNDERTS (Frankfurt am Main: Suhrkamp. 1999).
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  • Thoughts on Sydney Shoemaker’s Physical Realization.Jaegwon Kim - 2010 - Philosophical Studies 148 (1):101 - 112.
    This paper discusses in broad terms the metaphysical projects of Sydney Shoemaker’s Physical Realization . Specifically, I examine the effectiveness of Shoemaker’s novel “subset” account of realization for defusing the problem of mental causation, and compare the “subset” account with the standard “second-order” account. Finally, I discuss the physicalist status of the metaphysical worldview presented in Shoemaker’s important new contribution to philosophy of mind and metaphysics.
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  • The Unplanned Obsolescence of Psychological Science and an Argument for its Revival.Stan Klein - 2016 - Psychology of Consciousness: Theory, Research, and Practice 3:357-379.
    I examine some of the key scientific pre-commitments of modern psychology, and argue that their adoption has the unintended consequence of rendering a purely psychological analysis of mind indistinguishable from a purely biological treatment. And, since these pre-commitments sanction an “authority of the biological”, explanation of phenomena traditionally considered the purview of psychological analysis is fully subsumed under the biological. I next evaluate the epistemic warrant of these pre-commitments and suggest there are good reasons to question their applicability to psychological (...)
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  • Objections to Computationalism: A Survey.Marcin Miłkowski - 2018 - Roczniki Filozoficzne 66 (3):57-75.
    In this paper, the Author reviewed the typical objections against the claim that brains are computers, or, to be more precise, information-processing mechanisms. By showing that practically all the popular objections are based on uncharitable interpretations of the claim, he argues that the claim is likely to be true, relevant to contemporary cognitive science, and non-trivial.
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  • Perception With Compensatory Devices: From Sensory Substitution to Sensorimotor Extension.Malika Auvray & Erik Myin - 2009 - Cognitive Science 33 (6):1036–1058.
    Sensory substitution devices provide through an unusual sensory modality (the substituting modality, e.g., audition) access to features of the world that are normally accessed through another sensory modality (the substituted modality, e.g., vision). In this article, we address the question of which sensory modality the acquired perception belongs to. We have recourse to the four traditional criteria that have been used to define sensory modalities: sensory organ, stimuli, properties, and qualitative experience (Grice, 1962), to which we have added the criteria (...)
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  • Functionalism, mental causation, and the problem of metaphysically necessary effects.Robert D. Rupert - 2006 - Noûs 40 (2):256-83.
    The recent literature on mental causation has not been kind to nonreductive, materialist functionalism (‘functionalism’, hereafter, except where that term is otherwise qualified). The exclusion problem2 has done much of the damage, but the epiphenomenalist threat has taken other forms. Functionalism also faces what I will call the ‘problem of metaphysically necessary effects’ (Block, 1990, pp. 157-60, Antony and Levine, 1997, pp. 91-92, Pereboom, 2002, p. 515, Millikan, 1999, p. 47, Jackson, 1998, pp. 660-61). Functionalist mental properties are individuated partly (...)
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  • There's more to mental states than meets the inner “l”.Kimberly Wright Cassidy - 1993 - Behavioral and Brain Sciences 16 (1):34-35.
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  • On mechanical recognition.R. J. Nelson - 1976 - Philosophy of Science 43 (1):24-52.
    In this paper I argue that human pattern recognition can be simulated by automata. In particular, I show that gestalt recognition and recognition of family resemblances are within the capabilities of sufficiently complex Turing machines. The argument rests on elementary facts of automata and computability theory which are used to explicate our preanalytic, informal concepts concerning gestalt patterns and recognition. The central idea is that of a machine which "knows" its own structure. Although the paper thus aims to support mechanism, (...)
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  • Functionalism and the Emotions.Juan R. Loaiza - 2021 - British Journal for the Philosophy of Science 75 (1):233-251.
    Functionalism as a philosophical position has been recently applied to the case of emotion research. However, a number of objections have been raised against applying such a view to scientific theorizing on emotions. In this article, I argue that functionalism is still a viable strategy for emotion research. To do this, I present functionalism in philosophy of mind and offer a sketch of its application to emotions. I then discuss three recent objections raised against it and respond to each of (...)
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  • Realizing race.Aaron M. Griffith - 2020 - Philosophical Studies 177 (7):1919-1934.
    A prominent way of explaining how race is socially constructed appeals to social positions and social structures. On this view, the construction of a person’s race is understood in terms of the person occupying a certain social position in a social structure. The aim of this paper is to give a metaphysically perspicuous account of this form of race construction. Analogous to functionalism about mental states, I develop an account of a ‘race structure’ in which various races (Black, White, Asian, (...)
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  • (1 other version)The philosophy of computer science.Raymond Turner - 2013 - Stanford Encyclopedia of Philosophy.
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  • Incompleteness, mechanism, and optimism.Stewart Shapiro - 1998 - Bulletin of Symbolic Logic 4 (3):273-302.
    §1. Overview. Philosophers and mathematicians have drawn lots of conclusions from Gödel's incompleteness theorems, and related results from mathematical logic. Languages, minds, and machines figure prominently in the discussion. Gödel's theorems surely tell us something about these important matters. But what?A descriptive title for this paper would be “Gödel, Lucas, Penrose, Turing, Feferman, Dummett, mechanism, optimism, reflection, and indefinite extensibility”. Adding “God and the Devil” would probably be redundant. Despite the breath-taking, whirlwind tour, I have the modest aim of forging (...)
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