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  1. The cybernetics of learning.Bill Cope & Mary Kalantzis - 2022 - Educational Philosophy and Theory 54 (14):2352-2388.
    … in which we pass through eleven episodes in the history of cybernetics, each episode focusing on one of its perspectives on learning. We end with a coda where we define ‘cybersocial systems’ and...
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  • Causation and Information: Where Is Biological Meaning to Be Found?Mark Pharoah - 2020 - Biosemiotics 13 (3):309-326.
    The term ‘information’ is used extensively in biology, cognitive science and the philosophy of consciousness in relation to the concepts of ‘meaning’ and ‘causation’. While ‘information’ is a term that serves a useful purpose in specific disciplines, there is much to the concept that is problematic. Part 1 is a critique of the stance that information is an independently existing entity. On this view, and in biological contexts, systems transmit, acquire, assimilate, decode and manipulate it, and in so doing, generate (...)
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  • A Promethean Philosophy of External Technologies, Empiricism, & the Concept: Second-Order Cybernetics, Deep Learning, and Predictive Processing.Ekin Erkan - 2020 - Media Theory 4 (1):87-146.
    Beginning with a survey of the shortcoming of theories of organology/media-as-externalization of mind/body—a philosophical-anthropological tradition that stretches from Plato through Ernst Kapp and finds its contemporary proponent in Bernard Stiegler—I propose that the phenomenological treatment of media as an outpouching and extension of mind qua intentionality is not sufficient to counter the ̳black-box‘ mystification of today‘s deep learning‘s algorithms. Focusing on a close study of Simondon‘s On the Existence of Technical Objectsand Individuation, I argue that the process-philosophical work of Gilbert (...)
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  • (1 other version)The Philosophy of Nature of Kant, Schelling and Hegel.Dieter Wandschneider - 2010 - In Dean Moyar (ed.), The Routledge Companion to Nineteenth Century Philosophy. New York: Routledge. pp. 64—‘l03.
    The present investigation brings into view the philosophy of nature of German Idealism, a philosophical movement which emerged around the beginning of the nineteenth century. German Idealism appro- priated certain motivations of the Kantian philosophy and developed them further in a "speculative" manner (Engelhardt 1972, 1976, 2002). This powerful philosophical movement, associated above all with the names of Fichte, Schelling and Hegel - and moreover having nothing whatsoever to do with the "subjective idealism" of George Berkeley - was replaced by (...)
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  • Coupling to Variant Information: an Ecological Account of Comparative Mental Imagery Generation.Matthew Sims - 2019 - Review of Philosophy and Psychology 11 (4):899-916.
    Action-based theories of cognition place primary emphasis upon the role that agent-environment coupling plays in the emergence of psychological states. Prima facie, mental imagery seems to present a problem for some of these theories because it is understood to be stimulus-absent and thus thought to be decoupled from the environment. However, mental imagery is much more multifaceted than this “naïve” view suggests. Focusing on a particular kind of imagery, comparative mental imagery generation, this paper demonstrates that although such imagery is (...)
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  • First principles in the life sciences: the free-energy principle, organicism, and mechanism.Matteo Colombo & Cory Wright - 2021 - Synthese 198 (14):3463–3488.
    The free-energy principle states that all systems that minimize their free energy resist a tendency to physical disintegration. Originally proposed to account for perception, learning, and action, the free-energy principle has been applied to the evolution, development, morphology, anatomy and function of the brain, and has been called a postulate, an unfalsifiable principle, a natural law, and an imperative. While it might afford a theoretical foundation for understanding the relationship between environment, life, and mind, its epistemic status is unclear. Also (...)
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  • ‘The Action of the Brain’. Machine Models and Adaptive Functions in Turing and Ashby.Hajo Greif - 2017 - In Vincent C. Müller (ed.), Philosophy and theory of artificial intelligence 2017. Berlin: Springer. pp. 24-35.
    Given the personal acquaintance between Alan M. Turing and W. Ross Ashby and the partial proximity of their research fields, a comparative view of Turing’s and Ashby’s work on modelling “the action of the brain” (letter from Turing to Ashby, 1946) will help to shed light on the seemingly strict symbolic/embodied dichotomy: While it is clear that Turing was committed to formal, computational and Ashby to material, analogue methods of modelling, there is no straightforward mapping of these approaches onto symbol-based (...)
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  • Experiential fantasies, prediction, and enactive minds.Michael David Kirchhoff - 2015 - Journal of Consciousness Studies 22 (3-4):68-92.
    A recent surge of work on prediction-driven processing models--based on Bayesian inference and representation-heavy models--suggests that the material basis of conscious experience is inferentially secluded and neurocentrically brain bound. This paper develops an alternative account based on the free energy principle. It is argued that the free energy principle provides the right basic tools for understanding the anticipatory dynamics of the brain within a larger brain-body-environment dynamic, viewing the material basis of some conscious experiences as extensive--relational and thoroughly world-involving.
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  • Evolution's Arrow: the direction of evolution and the future of humanity.John E. Stewart - 2000 - Canberra: The Chapman Press.
    Evolution's Arrow argues that evolution is directional and progressive, and that this has major consequences for humanity. Without resort to teleology, the book demonstrates that evolution moves in the direction of producing cooperative organisations of greater scale and evolvability - evolution has organised molecular processes into cells, cells into organisms, and organisms into societies. The book founds this position on a new theory of the evolution of cooperation. It shows that self-interest at the level of the genes does not prevent (...)
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  • Active Inference and the Primacy of the ‘I Can’.Jelle Bruineberg - 2017 - Philosophy and Predictive Processing.
    This paper deals with the question of agency and intentionality in the context of the free-energy principle. The free-energy principle is a system-theoretic framework for understanding living self-organizing systems and how they relate to their environments. I will first sketch the main philosophical positions in the literature: a rationalist Helmholtzian interpretation (Hohwy 2013; Clark 2013), a cybernetic interpretation (Seth 2015b) and the enactive affordance-based interpretation (Bruineberg and Rietveld 2014; Bruineberg et al. 2016) and will then show how agency and intentionality (...)
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  • Toward mechanistic models of action-oriented and detached cognition.Giovanni Pezzulo - 2016 - Behavioral and Brain Sciences 39.
    To be successful, the research agenda for a novel control view of cognition should foresee more detailed, computationally specified process models of cognitive operations including higher cognition. These models should cover all domains of cognition, including those cognitive abilities that can be characterized as online interactive loops and detached forms of cognition that depend on internally generated neuronal processing.
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  • Herbert Spencer's Epigenetic Epistemology.C. U. M. Smith - 1983 - Studies in History and Philosophy of Science Part A 14 (1):1.
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  • The perceptron: A probabilistic model for information storage and organization in the brain.F. Rosenblatt - 1958 - Psychological Review 65 (6):386-408.
    If we are eventually to understand the capability of higher organisms for perceptual recognition, generalization, recall, and thinking, we must first have answers to three fundamental questions: 1. How is information about the physical world sensed, or detected, by the biological system? 2. In what form is information stored, or remembered? 3. How does information contained in storage, or in memory, influence recognition and behavior? The first of these questions is in the.
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  • Beyond design: cybernetics, biological computers and hylozoism.Andrew Pickering - 2009 - Synthese 168 (3):469-491.
    The history of British cybernetics offers us a different form of science and engineering, one that does not seek to dominate nature through knowledge. I want to say that one can distinguish two different paradigms in the history of science and technology: the one that Heidegger despised, which we could call the Modern paradigm, and another, cybernetic, nonModern, paradigm that he might have approved of. This essay focusses on work in the 1950s and early 1960s by two of Britain’s leading (...)
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  • Toward a Model of Functional Brain Processes I: Central Nervous System Functional Micro-architecture.Mark H. Bickhard - 2015 - Axiomathes 25 (3):217-238.
    Standard semantic information processing models—information in; information processed; information out —lend themselves to standard models of the functioning of the brain in terms, e.g., of threshold-switch neurons connected via classical synapses. That is, in terms of sophisticated descendants of McCulloch and Pitts models. I argue that both the cognition and the brain sides of this framework are incorrect: cognition and thought are not constituted as forms of semantic information processing, and the brain does not function in terms of passive input (...)
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  • The use of analogy and parable in cybernetics with emphasis upon analogies for learning and creativity.Richmond Gordon Pask - 1963 - Dialectica 17 (2-3):167-203.
    The research reported in this document has been sponsored by the Air Force Office of Scientific Research, OAR, under Contract AF61 ‐640 with the European Office of Aerospace Research, United States Air Force; by the Aeronautical Systems Division of the Air Force Systems Command, United States Air Force, through the European Office of the Office of Aerospace Research, under Contract AF61‐402, and by the US Department of the Army, through its European Research Office, under Contract No. DA‐91‐591‐EUC‐3216.
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  • “Intelligence” as description and as explanation.P. A. Russell - 1990 - Behavioral and Brain Sciences 13 (1):86-86.
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  • Evolving concepts of sleep cycle generation: From brain centers to neuronal populations.J. A. Hobson, R. Lydic & H. A. Baghdoyan - 1986 - Behavioral and Brain Sciences 9 (3):371-400.
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  • How brains make chaos in order to make sense of the world.Christine A. Skarda & Walter J. Freeman - 1987 - Behavioral and Brain Sciences 10 (2):161-173.
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  • Chaos, symbols, and connectionism.John A. Barnden - 1987 - Behavioral and Brain Sciences 10 (2):174-175.
    The paper is a commentary on the target article by Christine A. Skarda & Walter J. Freeman, “How brains make chaos in order to make sense of the world”, in the same issue of the journal, pp.161–195. -/- I confine my comments largely to some philosophical claims that Skarda & Freeman make and to the relationship of their model to connectionism. Some of the comments hinge on what symbols are and how they might sit in neural systems.
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  • A two-dimensional array of models of cognitive function.Gardner C. Quarton - 1988 - Behavioral and Brain Sciences 11 (1):48-48.
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  • Symbols, subsymbols, neurons.William G. Lycan - 1988 - Behavioral and Brain Sciences 11 (1):43-44.
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  • Connectionism and interlevel relations.William Bechtel - 1988 - Behavioral and Brain Sciences 11 (1):24-25.
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  • Giving up the ghost.William Vaughan - 1984 - Behavioral and Brain Sciences 7 (4):501-501.
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  • Learning is critical, not implementation versus algorithm.James T. Townsend - 1987 - Behavioral and Brain Sciences 10 (3):497-497.
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  • Feminist Philosophy of Science.Lynn Hankinson Nelson - 2002 - In Peter K. Machamer & Michael Silberstein (eds.), The Blackwell guide to the philosophy of science. Malden, Mass.: Blackwell. pp. 312–331.
    This chapter contains sections titled: Highlights of Past Literature Current Work Future Work.
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  • (1 other version)Connectionist Natural Language Processing: The State of the Art.Morten H. Christiansen & Nick Chater - 1999 - Cognitive Science 23 (4):417-437.
    This Special Issue on Connectionist Models of Human Language Processing provides an opportunity for an appraisal both of specific connectionist models and of the status and utility of connectionist models of language in general. This introduction provides the background for the papers in the Special Issue. The development of connectionist models of language is traced, from their intellectual origins, to the state of current research. Key themes that arise throughout different areas of connectionist psycholinguistics are highlighted, and recent developments in (...)
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  • Alternative Essences of Intelligence.Rodney A. Brooks - unknown
    We present a novel methodology for building humanlike artificially intelligent systems. We take as a model the only existing systems which are universally accepted as intelligent: humans. We emphasize building intelligent systems which are not masters of a single domain, but, like humans, are adept at performing a variety of complex tasks in the real world. Using evidence from cognitive science and neuroscience, we suggest four alternative essences of intelligence to those held by classical AI. These are the parallel themes (...)
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  • Emergence of Mind From Brain: The Biological Roots of the Hermeneutic Circle.Roland Fischer - 1987 - Diogenes 35 (138):1-25.
    Brain functions are stochastic processes without intentionality whereas mind emerges from brain functions as a Hegelian “change from quantity”, that is, on the order of 1012 profusely interconnected neurons, “into a new quality”: the collective phenomenon of the brain's self-experience. This self-referential and self-observing quality we have in mind is capable of (recursively) observing its self-observations, i.e., interpreting change that is meaningful in relation to itself. The notion of self-interpretation embodies the idea of a “hermeneutic circle”, that is, (in interpretation (...)
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  • Methodological suggestions from a comparative psychology of knowledge processes.Donald T. Campbell - 1959 - Inquiry: An Interdisciplinary Journal of Philosophy 2 (1-4):152 – 182.
    Introductory Abstract Philosophers of science, in the course of making a sharp distinction between the tasks of the philosopher and those of the scientist, have pointed to the possibility of an empirical science of induction. A comparative psychology of knowledge processes is offered as one aspect of this potential enterprise. From fragments of such a psychology, methodological suggestions are drawn relevant to several chronic problems in the social sciences, including the publication of negative results from novel explorations, the operational diagnosis (...)
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  • In defense of some "cartesian" assumption concerning the brain and its operation.Rick Grush - 2003 - Biology and Philosophy 18 (1):53-92.
    I argue against a growing radical trend in current theoretical cognitive science that moves from the premises of embedded cognition, embodied cognition, dynamical systems theory and/or situated robotics to conclusions either to the effect that the mind is not in the brain or that cognition does not require representation, or both. I unearth the considerations at the foundation of this view: Haugeland's bandwidth-component argument to the effect that the brain is not a component in cognitive activity, and arguments inspired by (...)
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  • Gaia as Seen from Within.Timothy M. Lenton, Sébastien Dutreuil & Bruno Latour - 2024 - Theory, Culture and Society 41 (5):69-90.
    Through our three-way collaboration we sought to understand Gaia and its political implications from the bottom-up and from within. Here we introduce that view of Gaia and how the dialogue between a philosopher (Bruno), a scientist (Tim), and a historian and philosopher of science (Séb) turned into a research programme. This sets in context a previously unpublished piece by Latour: ‘There is nothing simple in a feedback loop – or why goal function is not the problem of Gaia’.
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  • Cybernetics for the 21st Century Vol.1 Epistemological Reconstruction.Yuk Hui (ed.) - 2024 - Hong Kong: Hanart Press.
    Cybernetics for the 21st Century Vol.1 is dedicated to the epistemological reconstruction of cybernetics, consisting of a series of historical and critical reflections on the subject – which according to Martin Heidegger marked the completion of Western metaphysics. In this anthology, historians, philosophers, sociologists and media studies scholars explore the history of cybernetics from Leibniz to artificial intelligence and machine learning, as well as the development of twentieth-century cybernetics in various geographical regions in the world, from the USA to the (...)
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  • Examining the Continuity between Life and Mind: Is There a Continuity between Autopoietic Intentionality and Representationality?Wanja Wiese & Karl J. Friston - 2021 - Philosophies 6 (1):18.
    A weak version of the life-mind continuity thesis entails that every living system also has a basic mind (with a non-representational form of intentionality). The strong version entails that the same concepts that are sufficient to explain basic minds (with non-representational states) are also central to understanding non-basic minds (with representational states). We argue that recent work on the free energy principle supports the following claims with respect to the life-mind continuity thesis: (i) there is a strong continuity between life (...)
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  • Can Cyber‐Physical Systems Reliably Collaborate within a Blockchain?Ben van Lier - 2017 - Metaphilosophy 48 (5):698-711.
    A blockchain can be considered a technological phenomenon that is made up of different interconnected and autonomous systems. Such systems are referred to here as cyber-physical systems: complex interconnections of cyber and physical components. When cyber-physical systems are interconnected, a new whole consisting of a system of systems is created by the autonomous systems and their intercommunication and interaction. In a blockchain, individual systems can independently make decisions on joint information transactions. The decision-making procedures needed for this are executed based (...)
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  • Philosophical foundations of the Death and Anti-Death discussion.Jeremy Horne - 2017 - Death And Anti-Death Set of Anthologies 15:72.
    Perhaps there has been no greater opportunity than in this “VOLUME FIFTEEN of our Death And Anti-Death set of anthologies” to write about how might think about life and how to avoid death. There are two reasons to discuss “life”, the first being enhancing our understanding of who we are and why we may be here in the Universe. The second is more practical: how humans meet the physical challenges brought about by the way they have interacted with their environment. (...)
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  • Cognition, Computing and Dynamic Systems.Mario Villalobos & Joe Dewhurst - 2016 - Límite. Revista Interdisciplinaria de Filosofía y Psicología 1.
    Traditionally, computational theory (CT) and dynamical systems theory (DST) have presented themselves as opposed and incompatible paradigms in cognitive science. There have been some efforts to reconcile these paradigms, mainly, by assimilating DST to CT at the expenses of its anti-representationalist commitments. In this paper, building on Piccinini’s mechanistic account of computation and the notion of functional closure, we explore an alternative conciliatory strategy. We try to assimilate CT to DST by dropping its representationalist commitments, and by inviting CT to (...)
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  • A Computational Constructivist Model as an Anticipatory Learning Mechanism for Coupled Agent–Environment Systems.F. S. Perotto - 2013 - Constructivist Foundations 9 (1):46-56.
    Context: The advent of a general artificial intelligence mechanism that learns like humans do would represent the realization of an old and major dream of science. It could be achieved by an artifact able to develop its own cognitive structures following constructivist principles. However, there is a large distance between the descriptions of the intelligence made by constructivist theories and the mechanisms that currently exist. Problem: The constructivist conception of intelligence is very powerful for explaining how cognitive development takes place. (...)
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  • Are libraries intelligent?Michael T. Ghiselin - 1990 - Behavioral and Brain Sciences 13 (1):78-78.
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  • Species intelligence: Hazards of structural parallels.Robert W. Hendersen - 1990 - Behavioral and Brain Sciences 13 (1):78-79.
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  • Stable self-organization of sensory recognition codes: Is chaos necessary?Stephen Grossberg - 1987 - Behavioral and Brain Sciences 10 (2):179-180.
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  • Is Smolensky's treatment of connectionism on the level?Carol E. Cleland - 1988 - Behavioral and Brain Sciences 11 (1):27-28.
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  • Selection by consequences.B. F. Skinner - 1984 - Behavioral and Brain Sciences 7 (4):477-481.
    Human behavior is the joint product of (i) contingencies of survival responsible for natural selection, and (ii) contingencies of reinforcement responsible for the repertoires of individuals, including (iii) the special contingencies maintained by an evolved social environment. Selection by consequences is a causal mode found only in living things, or in machines made by living things. It was first recognized in natural selection: Reproduction, a first consequence, led to the evolution of cells, organs, and organisms reproducing themselves under increasingly diverse (...)
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  • Connectionist models are also algorithmic.David S. Touretzky - 1987 - Behavioral and Brain Sciences 10 (3):496-497.
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  • Methodologies for studying human knowledge.John R. Anderson - 1987 - Behavioral and Brain Sciences 10 (3):467-477.
    The appropriate methodology for psychological research depends on whether one is studying mental algorithms or their implementation. Mental algorithms are abstract specifications of the steps taken by procedures that run in the mind. Implementational issues concern the speed and reliability of these procedures. The algorithmic level can be explored only by studying across-task variation. This contrasts with psychology's dominant methodology of looking for within-task generalities, which is appropriate only for studying implementational issues.The implementation-algorithm distinction is related to a number of (...)
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  • The cognitive basis of material engagement: Where brain, body and culture conflate.Lambros Malafouris - 2004 - In [Book Chapter].
    In this paper I attempt to sketch a preliminary framework for understanding the cognitive basis of the engagement of the mind with the material world. I advance the hypothesis that contrary to some of our most deeply-entrenched assumptions the relationship between the world and human cognition is not one of abstract representation or some other form of action at a distance but one of ontological inseparability. That is, what we have traditionally construed as an active or passive but always clearly (...)
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  • Self-programming machines (II): Network of self-programming machines driving an Ashby homeostat.J.-P. Moulin - 2003 - Acta Biotheoretica 51 (4):265-276.
    The progress in artificial intelligence enables us to conceive adaptive systems whose characteristics are nearer and nearer to those of living beings. These characteristics though depend on ingenious choices by the designer of these systems: Initial conditions, parameters, optimisation functions, gradient and measure of fitness within the environment. Nevertheless, in living systems which are non-finalist, there are no programmers or designers to conceive of such ingenious choices. Our paper “Self-Programming Machines (I)” presents a non-finalist model since initial states and functions (...)
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  • On the proper treatment of connectionism.Paul Smolensky - 1988 - Behavioral and Brain Sciences 11 (1):1-23.
    A set of hypotheses is formulated for a connectionist approach to cognitive modeling. These hypotheses are shown to be incompatible with the hypotheses underlying traditional cognitive models. The connectionist models considered are massively parallel numerical computational systems that are a kind of continuous dynamical system. The numerical variables in the system correspond semantically to fine-grained features below the level of the concepts consciously used to describe the task domain. The level of analysis is intermediate between those of symbolic cognitive models (...)
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  • Belief and self-deception.Amelie Rorty - 1972 - Inquiry: An Interdisciplinary Journal of Philosophy 15 (1-4):387-410.
    In Part I, I consider the normal contexts of assertions of belief and declarations of intentions, arguing that many action-guiding beliefs are accepted uncritically and even pre-consciously. I analyze the function of avowals as expressions of attempts at self-transformation. It is because assertions of beliefs are used to perform a wide range of speech acts besides that of speaking the truth, and because there is a large area of indeterminacy in such assertions, that self-deception is possible. In Part II, I (...)
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  • Meaning, dispositions, and normativity.Josefa Toribio - 1999 - Minds and Machines 9 (3):399-413.
    In a recent paper, Paul Coates defends a sophisticated dispositional account which allegedly resolves the sceptical paradox developed by Kripke in his monograph on Wittgenstein's treatment of following a rule (Kripke, 1982). Coates' account appeals to a notion of 'homeostasis', unpacked as a subject's second-order disposition to maintain a consistent pattern of extended first-order dispositions regarding her linguistic behavior. This kind of account, Coates contends, provides a naturalistic model for the normativity of intentional properties and thus resolves Kripke's sceptical paradox. (...)
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