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  1. Against Computational Perspectivalism.Dimitri Coelho Mollo - 2021 - British Journal for the Philosophy of Science 72 (4):1129-1153.
    Computational perspectivalism has been recently proposed as an alternative to mainstream accounts of physical computation, and especially to the teleologically-based mechanistic view. It takes physical computation to be partly dependent on explanatory perspectives and eschews appeal to teleology in helping individuate computational systems. I assess several varieties of computational perspectivalism, showing that they either collapse into existing non-perspectival views or end up with unsatisfactory or implausible accounts of physical computation. Computational perspectivalism fails, therefore, to be a compelling alternative to perspective-independent (...)
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  • Cognitive Spread: Under What Conditions Does the Mind Extend Beyond the Body?Zed Adams & Chauncey Maher - 2012 - European Journal of Philosophy 23 (3):420-438.
    The extended mind hypothesis (EMH) is the claim that the mind can and does extend beyond the human body. Adams and Aizawa (A&A) contend that arguments for EMH commit a ‘coupling constitution fallacy’. We deny that the master argument for EMH commits such a fallacy. But we think that there is an important question lurking behind A&A's allegation: under what conditions is cognition spread across a tightly coupled system? Building on some suggestions from Haugeland, we contend that the system must (...)
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  • The Nature of Appearance in Kant’s Transcendentalism: A Seman- tico-Cognitive Analysis.Sergey L. Katrechko - 2018 - Kantian Journal 37 (3):41-55.
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  • Cognitive self-management requires the phenomenal registration of intrinsic state properties.Frederic Peters - 2020 - Philosophical Studies 177 (4):1113-1135.
    Cognition is not, and could not possibly be, entirely representational in character. There is also a phenomenal form of cognitive expression that registers the intrinsic properties of mental states themselves. Arguments against the reality of this intrinsic phenomenal dimension to mental experience have focused either on its supposed impossibility, or secondly, the non-appearance of any such qualities to introspection. This paper argues to the contrary, that the registration of cognitive state properties does take place independently of representational content; and necessarily (...)
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  • Classical Computational Models.Richard Samuels - 2018 - In Mark Sprevak & Matteo Colombo (eds.), The Routledge Handbook of the Computational Mind. Routledge. pp. 103-119.
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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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  • The Cognitive Basis of Computation: Putting Computation in Its Place.Daniel D. Hutto, Erik Myin, Anco Peeters & Farid Zahnoun - 2018 - In Mark Sprevak & Matteo Colombo (eds.), The Routledge Handbook of the Computational Mind. Routledge. pp. 272-282.
    The mainstream view in cognitive science is that computation lies at the basis of and explains cognition. Our analysis reveals that there is no compelling evidence or argument for thinking that brains compute. It makes the case for inverting the explanatory order proposed by the computational basis of cognition thesis. We give reasons to reverse the polarity of standard thinking on this topic, and ask how it is possible that computation, natural and artificial, might be based on cognition and not (...)
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  • From Computer Metaphor to Computational Modeling: The Evolution of Computationalism.Marcin Miłkowski - 2018 - Minds and Machines 28 (3):515-541.
    In this paper, I argue that computationalism is a progressive research tradition. Its metaphysical assumptions are that nervous systems are computational, and that information processing is necessary for cognition to occur. First, the primary reasons why information processing should explain cognition are reviewed. Then I argue that early formulations of these reasons are outdated. However, by relying on the mechanistic account of physical computation, they can be recast in a compelling way. Next, I contrast two computational models of working memory (...)
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  • Robots as Powerful Allies for the Study of Embodied Cognition from the Bottom Up.Matej Hoffmann & Rolf Pfeifer - 2018 - In Albert Newen, Leon De Bruin & Shaun Gallagher (eds.), The Oxford Handbook of 4E Cognition. Oxford: Oxford University Press.
    A large body of compelling evidence has been accumulated demonstrating that embodiment – the agent’s physical setup, including its shape, materials, sensors and actuators – is constitutive for any form of cognition and as a consequence, models of cognition need to be embodied. In contrast to methods from empirical sciences to study cognition, robots can be freely manipulated and virtually all key variables of their embodiment and control programs can be systematically varied. As such, they provide an extremely powerful tool (...)
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  • The View from Vector Space: an account of conceptual geography.Joshua Stein - 2014 - Journal of Cognition and Neuroethics 2 (1):71-91.
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  • Implications of Action-Oriented Paradigm Shifts in Cognitive Science.Peter F. Dominey, Tony J. Prescott, Jeannette Bohg, Andreas K. Engel, Shaun Gallagher, Tobias Heed, Matej Hoffmann, Gunther Knoblich, Wolfgang Prinz & Andrew Schwartz - 2016 - In Andreas K. Engel, Karl J. Friston & Danica Kragic (eds.), The Pragmatic Turn: Toward Action-Oriented Views in Cognitive Science. MIT Press. pp. 333-356.
    An action-oriented perspective changes the role of an individual from a passive observer to an actively engaged agent interacting in a closed loop with the world as well as with others. Cognition exists to serve action within a landscape that contains both. This chapter surveys this landscape and addresses the status of the pragmatic turn. Its potential influence on science and the study of cognition are considered (including perception, social cognition, social interaction, sensorimotor entrainment, and language acquisition) and its impact (...)
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  • The Encultured Mind: From Cognitive Science to Social Epistemology.David Alexander Eck - unknown
    There have been monumental advances in the study of the social dimensions of knowledge in the late twentieth and early twenty-first centuries. But it has been common within a wide variety of fields--including social philosophy, cognitive science, epistemology, and the philosophy of science--to approach the social dimensions of knowledge as simply another resource to be utilized or controlled. I call this view, in which other people's epistemic significance are only of instrumental value, manipulationism. I identify manipulationism, trace its manifestations in (...)
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  • Embodying Social Practice: Dynamically Co-Constituting Social Agency.Brian W. Dunst - unknown
    Theories of cognition and theories of social practices and institutions have often each separately acknowledged the relevance of the other; but seldom have there been consistent and sustained attempts to synthesize these two areas within one explanatory framework. This is precisely what my dissertation aims to remedy. I propose that certain recent developments and themes in philosophy of mind and cognitive science, when understood in the right way, can explain the emergence and dynamics of social practices and institutions. Likewise, the (...)
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  • Naturalism in the philosophies of Dewey and Zhuangzi: The live creature and the crooked tree.Christopher Kirby - 2008 - Dissertation, Usf
    This dissertation will compare the concept of nature as it appears in the philosophies of the American pragmatist John Dewey and the Chinese daoist Zhuangzi and will defend two central claims. The first of these is that Dewey and Zhuangzi share a view of nature that is non-reductive, philosophically liberal, and more comprehensive than the accounts recurrent in much of the Western tradition. This alternate conception of nature is non-reductive in the way that it avoids the physically mechanistic outlook underwriting (...)
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  • Minds beyond brains and algorithms.Jan M. Zytkow - 1990 - Behavioral and Brain Sciences 13 (4):691-692.
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  • Perceptive questions about computation and cognition.Jon Doyle - 1990 - Behavioral and Brain Sciences 13 (4):661-661.
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  • Time-delays in conscious processes.Benjamin Libet - 1990 - Behavioral and Brain Sciences 13 (4):672-672.
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  • The ontological status of computers or what is a computer?John Kelly - 1992 - AI and Society 6 (4):305-323.
    The development of computers as ‘mind tools’ has generated intriguing and provocative views about their potential human-like qualities. In this paper an attempt is made to explore the ‘real’ nature of computers by an examination of three widely different perspective, (1) the common-sense view of computers as tools; (2) the provocative view of computers as persons; and (3) the challenging view of computers as texts. In the course of the discussion an extended critique of the use of anthropomorphic terms in (...)
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  • Friends at last? Distributed cognition and the cognitive/social divide.Adam Toon - 2014 - Philosophical Psychology 27 (1):1-14.
    Distributed cognition (d-cog) claims that many cognitive processes are distributed across groups and the surrounding material and cultural environment. Recently, Nancy Nersessian, Ronald Giere, and others have suggested that a d-cog approach might allow us to bring together cognitive and social theories of science. I explore this idea by focusing on the specific interpretation of d-cog found in Edwin Hutchins' canonical text Cognition in the wild. First, I examine the scope of a d-cog approach to science, showing that there are (...)
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  • A Defense of Cartesian Materialism.Jonathan Opie - 1999 - Philosophy and Phenomenological Research 59 (4):939-963.
    One of the principal tasks Dennett sets himself in Consciousness Explained is to demolish the Cartesian theater model of phenomenal consciousness, which in its contemporary garb takes the form of Cartesian materialism: the idea that conscious experience is a process of presentation realized in the physical materials of the brain. The now standard response to Dennett is that, in focusing on Cartesian materialism, he attacks an impossibly naive account of consciousness held by no one currently working in cognitive science or (...)
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  • Creating in Our Own Image: Artificial Intelligence and the Image of God.Noreen Herzfeld - 2002 - Zygon 37 (2):303-316.
    There is remarkable convergence between twentieth‐century interpretations of the image of God (imago Dei), what it means for human beings to be created in God's image, and approaches toward creating in our own image in the field of artificial intelligence (AI). Both fields have viewed the intersection between God and humanity or humanity and computers in terms of either (1) a property or set of properties such as intelligence, (2) the functions we engage in or are capable of, or (3) (...)
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  • The ingredients for a postgenomic synthesis of nature and nurture.Karola Stotz - 2008 - Philosophical Psychology 21 (3):359 – 381.
    This paper serves as an introduction to the special issue on “Reconciling Nature and Nurture in Behavior and Cognition Research” and sets its agenda to resolve the 'interactionist' dichotomy of nature as the genetic, and stable, factors of development, and nurture as the environmental, and plastic influences. In contrast to this received view it promotes the idea that all traits, no matter how developmentally fixed or universal they seem, contingently develop out of a single-cell state through the interaction of a (...)
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  • Plural agents.Bennett W. Helm - 2008 - Noûs 42 (1):17–49.
    Genuine agents are able to engage in activity because they find it worth pursuing—because they care about it. In this respect, they differ from what might be called “mere intentional systems”: systems like chess-playing computers that exhibit merely goal-directed behavior mediated by instrumental rationality, without caring. A parallel distinction can be made in the domain of social activity: plural agents must be distinguished from plural intentional systems in that plural agents have cares and engage in activity because of those cares. (...)
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  • A semiotical reflection on biology, living signs and artificial life.Claus Emmeche - 1991 - Biology and Philosophy 6 (3):325-340.
    It is argued, that theory sf signs, especially in the tradition of the great philosopher Charles Sanders Peirce (1839–1914) can inspire the study of central problems in the philosophy of biology. Three such problems are considered: (1) The nature of biology as a science, where a semiotically informed pluralistic approach to the theory of science is introduced. (2) The peculiarity of the general object of biology, where a realistic interpretation of sign- and information-concepts is required to see sign-processes as immanent (...)
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  • Book review: Understanding blindness. [REVIEW]Neil Levy - 2004 - Phenomenology and the Cognitive Sciences 3 (3):315-324.
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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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  • A connectionist theory of phenomenal experience.Jonathan Opie & Gerard O'Brien - 1999 - Behavioral and Brain Sciences 22 (1):127-148.
    When cognitive scientists apply computational theory to the problem of phenomenal consciousness, as many of them have been doing recently, there are two fundamentally distinct approaches available. Either consciousness is to be explained in terms of the nature of the representational vehicles the brain deploys; or it is to be explained in terms of the computational processes defined over these vehicles. We call versions of these two approaches _vehicle_ and _process_ theories of consciousness, respectively. However, while there may be space (...)
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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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  • Artificial intelligence and consciousness.Drew McDermott - 2007 - In Morris Moscovitch, Philip Zelazo & Evan Thompson (eds.), Cambridge Handbook of Consciousness. New York: Cambridge University Press. pp. 117--150.
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  • Precis of the emperor's new mind.Roger Penrose - 1990 - Behavioral and Brain Sciences 13 (4):643-705.
    The emperor's new mind (hereafter Emperor) is an attempt to put forward a scientific alternative to the viewpoint of according to which mental activity is merely the acting out of some algorithmic procedure. John Searle and other thinkers have likewise argued that mere calculation does not, of itself, evoke conscious mental attributes, such as understanding or intentionality, but they are still prepared to accept the action the brain, like that of any other physical object, could in principle be simulated by (...)
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  • A deductive argument for the representational theory of thinking.William G. Lycan - 1993 - Mind and Language 8 (3):404-22.
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  • Self-knowledge as a Result of the Embodied and Social Cognition.Anita Pacholik-Żuromska - 2019 - Frontiers in Psychology 10.
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  • Philosophical and Socio‐Cognitive Foundations for Teaching in Higher Education through Collaborative Approaches to Student Learning.Adrian Jones - 2011 - Educational Philosophy and Theory 43 (9):997-1011.
    This paper considers the implications for higher education of recent work on narrative theory, distributed cognition and artificial intelligence. These perspectives are contrasted with the educational implications of Heidegger's ontological phenomenology [being‐there and being‐aware (Da‐sein)] and with the classic and classical foundations of education which Heidegger and Gadamer once criticised. The aim is to prompt discussion of what teaching might become if psychological insights (about collective minds let loose to learn) are associated with every realm of higher education (not just (...)
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  • A cognition paradigm clash: Simon, situated cognition and the interpretation of bounded rationality.Enrico Petracca - 2017 - Journal of Economic Methodology 24 (1):20-40.
    Simon’s notion of bounded rationality is deeply intertwined with his activity as a cognitive psychologist and founder of so-called cognitivism, a mainstream approach in cognitive psychology until the 1980s. Cognitivism, understood as ‘symbolic information processing,’ provided the first cognitive psychology foundation to bounded rationality. Has bounded rationality since then fully followed the development of cognitive psychology beyond symbolic information processing in the post-Simonian era? To answer this question, this paper focuses on Simon’s opposition during the 1990s to a new view (...)
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  • Selecting for the con in consciousness.Deborah Hodgkin & Alasdair I. Houston - 1990 - Behavioral and Brain Sciences 13 (4):668-669.
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  • Seeing truth or just seeming true?Adina Roskies - 1990 - Behavioral and Brain Sciences 13 (4):682-683.
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  • The pretender's new clothes.Tim Smithers - 1990 - Behavioral and Brain Sciences 13 (4):683-684.
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  • Penrose's Platonism.James Higginbotham - 1990 - Behavioral and Brain Sciences 13 (4):667-668.
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  • W(h)ither expert systems? — A view from outside.Ian White - 1988 - AI and Society 2 (2):161-171.
    The paper questions the expert system paradigm, both in terms of its range of application, and as a significant contribution to the understanding of artificial intelligence. The viewpoint is that of the systems designer who must judge the applicability of these methods in imminent and future systems. The expert system paradigm, (ESP for short), is criticised not because it is ubiquitously wrong, but because its range of application appears to be very limited, and much promise is made of its application (...)
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  • The Effects of Feature-Label-Order and Their Implications for Symbolic Learning.Michael Ramscar, Daniel Yarlett, Melody Dye, Katie Denny & Kirsten Thorpe - 2010 - Cognitive Science 34 (6):909-957.
    Symbols enable people to organize and communicate about the world. However, the ways in which symbolic knowledge is learned and then represented in the mind are poorly understood. We present a formal analysis of symbolic learning—in particular, word learning—in terms of prediction and cue competition, and we consider two possible ways in which symbols might be learned: by learning to predict a label from the features of objects and events in the world, and by learning to predict features from a (...)
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  • Reasons without principles.Herman E. Stark - 2004 - Inquiry: An Interdisciplinary Journal of Philosophy 47 (2):143 – 167.
    What is required for one thing to be a reason for another? Must the reason, more precisely, be or involve a principle? In this essay I target the idea that justification via reasons of one's beliefs (e.g., epistemic or moral) requires that the 'justifying reasons' be or involve (substantive and significant) principles. I identify and explore some potential sources of a principles requirement, and conclude that none of them (i.e., the normative function of reasons, the abstract structure of reasons, the (...)
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  • After the Philosophy of Mind: Replacing Scholasticism with Science.Tony Chemero & Michael Silberstein - 2008 - Philosophy of Science 75 (1):1-27.
    We provide a taxonomy of the two most important debates in the philosophy of the cognitive and neural sciences. The first debate is over methodological individualism: is the object of the cognitive and neural sciences the brain, the whole animal, or the animal--environment system? The second is over explanatory style: should explanation in cognitive and neural science be reductionist-mechanistic, inter-level mechanistic, or dynamical? After setting out the debates, we discuss the ways in which they are interconnected. Finally, we make some (...)
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  • The problem of machine ethics in artificial intelligence.Rajakishore Nath & Vineet Sahu - 2020 - AI and Society 35 (1):103-111.
    The advent of the intelligent robot has occupied a significant position in society over the past decades and has given rise to new issues in society. As we know, the primary aim of artificial intelligence or robotic research is not only to develop advanced programs to solve our problems but also to reproduce mental qualities in machines. The critical claim of artificial intelligence advocates is that there is no distinction between mind and machines and thus they argue that there are (...)
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  • Similarity and rules: distinct? exhaustive? empirically distinguishable?Ulrike Hahn & Nick Chater - 1998 - Cognition 65 (2-3):197-230.
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  • Systematic, unconscious thought is the place to anchor quantum mechanics in the mind.Thomas Roeper - 1990 - Behavioral and Brain Sciences 13 (4):681-682.
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  • And then a miracle happens….Keith E. Stanovich - 1990 - Behavioral and Brain Sciences 13 (4):684-685.
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  • Exactly which emperor is Penrose talking about?John K. Tsotsos - 1990 - Behavioral and Brain Sciences 13 (4):686-687.
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  • Computability, consciousness, and algorithms.Robert Wilensky - 1990 - Behavioral and Brain Sciences 13 (4):690-691.
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  • Strong AI and the problem of “second-order” algorithms.Gerd Gigerenzer - 1990 - Behavioral and Brain Sciences 13 (4):663-664.
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  • The emperor's old hat.Don Perlis - 1990 - Behavioral and Brain Sciences 13 (4):680-681.
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