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The (lack of) mental life of some machines

In Shimon Edelman, Tomer Fekete & Neta Zach (eds.), Being in Time: Dynamical Models of Phenomenal Experience. John Benjamins.. pp. 88--95 (2012)

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  1. A dilemma for Heideggerian cognitive science.David Suarez - 2017 - Phenomenology and the Cognitive Sciences 16 (5):909-930.
    ‘Naturalizing phenomenology’ by limiting it to the ontology of the sciences is problematic on both metaphysical and phenomenological grounds. While most assessments of the prospects for a ‘naturalized phenomenology’ have focused on approaches based in Husserlian transcendental phenomenology, problems also arise for non-reductive approaches based in Heideggerian existential phenomenology. ‘Heideggerian cognitive science’ faces a dilemma. On the one hand, if it is directly concerned with the nature of subjectivity, and this subjectivity is assumed to be ontologically irreducible to its physical (...)
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  • Dynamical Emergence Theory (DET): A Computational Account of Phenomenal Consciousness.Roy Moyal, Tomer Fekete & Shimon Edelman - 2020 - Minds and Machines 30 (1):1-21.
    Scientific theories of consciousness identify its contents with the spatiotemporal structure of neural population activity. We follow up on this approach by stating and motivating Dynamical Emergence Theory, which defines the amount and structure of experience in terms of the intrinsic topology and geometry of a physical system’s collective dynamics. Specifically, we posit that distinct perceptual states correspond to coarse-grained macrostates reflecting an optimal partitioning of the system’s state space—a notion that aligns with several ideas and results from computational neuroscience (...)
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  • Information Closure Theory of Consciousness.Acer Y. C. Chang, Martin Biehl, Yen Yu & Ryota Kanai - 2020 - Frontiers in Psychology 11:505035.
    Information processing in neural systems can be described and analysed at multiple spatiotemporal scales. Generally, information at lower levels is more fine-grained but can be coarse-grained at higher levels. However, only information processed at specific scales of coarse-graining appears to be available for conscious awareness. We do not have direct experience of information available at the scale of individual neurons, which is noisy and highly stochastic. Neither do we have experience of more macro-scale interactions, such as interpersonal communications. Neurophysiological evidence (...)
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  • Identity, Immortality, Happiness: Pick Two.Shimon Edelman - 2018 - Journal of Evolution and Technology 28 (1):1-17.
    To the extent that the performance of embodied and situated cognitive agents is predicated on fore- thought;such agents must remember; and learn from; the past to predict the future. In complex; non-stationaryenvironments; such learning is facilitated by an intrinsic motivation to seek novelty. A significant part of anagent’s identity is thus constituted by its remembered distilled cumulative life experience; which the agent isdriven to constantly expand. The combination of the drive to novelty with practical limits on memorycapacity posits a problem. (...)
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  • System, Subsystem, Hive: boundary problems in computational theories of consciousness.Tomer Fekete, Cees van Leeuwen & Shimon Edelman - 2016 - Frontiers in Psychology 7.
    A computational theory of consciousness should include a quantitative measure of consciousness, or MoC, that (i) would reveal to what extent a given system is conscious, (ii) would make it possible to compare not only different systems, but also the same system at different times, and (iii) would be graded, because so is consciousness. However, unless its design is properly constrained, such an MoC gives rise to what we call the boundary problem: an MoC that labels a system as conscious (...)
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  • In the interest of saving time: a critique of discrete perception.Tomer Fekete, Sander Van de Cruys, Vebjørn Ekroll & Cees van Leeuwen - 2018 - Neuroscience of Consciousness 2018 (1):1-8.
    A recently proposed model of sensory processing suggests that perceptual experience is updated in discrete steps. We show that the data advanced to support discrete perception are in fact compatible with a continuous account of perception. Physiological and psychophysical constraints, moreover, as well as our awake-primate imaging data, imply that human neuronal networks cannot support discrete updates of perceptual content at the maximal update rates consistent with phenomenology. A more comprehensive approach to understanding the physiology of perception (and experience at (...)
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