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  1. Cognition in context: Phenomenology, situated robotics and the frame problem.Michael Wheeler - 2008 - International Journal of Philosophical Studies 16 (3):323 – 349.
    The frame problem is the difficulty of explaining how non-magical systems think and act in ways that are adaptively sensitive to context-dependent relevance. Influenced centrally by Heideggerian phenomenology, Hubert Dreyfus has argued that the frame problem is, in part, a consequence of the assumption (made by mainstream cognitive science and artificial intelligence) that intelligent behaviour is representation-guided behaviour. Dreyfus' Heideggerian analysis suggests that the frame problem dissolves if we reject representationalism about intelligence and recognize that human agents realize the property (...)
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  • Is There a Problem in the Laboratory?Alexander Nicolai Wendt - 2018 - Frontiers in Psychology 9.
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  • Models of memory: Wittgenstein and cognitive science.David G. Stern - 1991 - Philosophical Psychology 4 (2):203-18.
  • How does the body get into the mind?Wolff-Michael Roth & Daniel V. Lawless - 2002 - Human Studies 25 (3):333-358.
    In this article, we propose that gestures play an important role in the connection between sensorimotor experience and language. Gestures may be the link between bodily experience and verbal expression that advocates of embodied cognition have postulated. In a developmental sequence of communicative action, gestures, which are initially similar to action sequences, substantially shorten and represent actions in metonymic form. In another process, action sequences are based on kinesthetic schemata that themselves find their metaphoric expression in language. Again, gestures enact (...)
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  • Digital hermeneutics: from interpreting with machines to interpretational machines.Alberto Romele, Marta Severo & Paolo Furia - 2020 - AI and Society 35 (1):73-86.
    Today, there is an emerging interest for the potential role of hermeneutics in reflecting on the practices related to digital technologies and their consequences. Nonetheless, such an interest has neither given rise to a unitary approach nor to a shared debate. The primary goal of this paper is to map and synthetize the different existing perspectives to pave the way for an open discussion on the topic. The article is developed in two steps. In the first section, the authors analyze (...)
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  • Taking stock of phenomenology futures.Shaun Gallagher - 2012 - Southern Journal of Philosophy 50 (2):304-318.
    In this paper, I review recent contributions of phenomenology to a variety of disciplines, including the cognitive sciences and psychiatry, and explore (1) controversies about phenomenological methods and naturalization; (2) relations between phenomenology and the enactive and extended mind approaches; and (3) the promise of phenomenology for addressing a number of controversial philosophical issues.
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  • Phenomenology and Artificial Life: Toward a Technological Supplementation of Phenomenological Methodology.Tom Froese & Shaun Gallagher - 2010 - Husserl Studies 26 (2):83-106.
    The invention of the computer has revolutionized science. With respect to finding the essential structures of life, for example, it has enabled scientists not only to investigate empirical examples, but also to create and study novel hypothetical variations by means of simulation: ‘life as it could be’. We argue that this kind of research in the field of artificial life, namely the specification, implementation and evaluation of artificial systems, is akin to Husserl’s method of free imaginative variation as applied to (...)
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  • Hume and the enactive approach to mind.Tom Froese - 2009 - Phenomenology and the Cognitive Sciences 8 (1):95-133.
    An important part of David Hume’s work is his attempt to put the natural sciences on a firmer foundation by introducing the scientific method into the study of human nature. This investigation resulted in a novel understanding of the mind, which in turn informed Hume’s critical evaluation of the scope and limits of the scientific method as such. However, while these latter reflections continue to influence today’s philosophy of science, his theory of mind is nowadays mainly of interest in terms (...)
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  • Using extra output learning to insert a symbolic theory into a connectionist network.M. R. W. Dawson, D. A. Medler, D. B. McCaughan, L. Willson & M. Carbonaro - 2000 - Minds and Machines 10 (2):171-201.
    This paper examines whether a classical model could be translated into a PDP network using a standard connectionist training technique called extra output learning. In Study 1, standard machine learning techniques were used to create a decision tree that could be used to classify 8124 different mushrooms as being edible or poisonous on the basis of 21 different Features (Schlimmer, 1987). In Study 2, extra output learning was used to insert this decision tree into a PDP network being trained on (...)
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  • Embedded or embodied? a review of Hubert Dreyfus' What Computers Still Can't Do.H. M. Collins - 1996 - Artificial Intelligence 80 (1):99-117.
  • Philosophy and Memory Traces: Descartes to Connectionism.John Sutton - 1998 - New York: Cambridge University Press.
    Philosophy and Memory Traces defends two theories of autobiographical memory. One is a bewildering historical view of memories as dynamic patterns in fleeting animal spirits, nervous fluids which rummaged through the pores of brain and body. The other is new connectionism, in which memories are 'stored' only superpositionally, and reconstructed rather than reproduced. Both models, argues John Sutton, depart from static archival metaphors by employing distributed representation, which brings interference and confusion between memory traces. Both raise urgent issues about control (...)
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  • The connectionist mind: A study of Hayekian psychology.Barry Smith - 1997 - In Stephen F. Frowen (ed.), Hayek: Economist and Social Philosopher: A Critical Retrospect. London: St. Martin's Press. pp. 9-29.
    In his book The Sensory Order, Hayek anticipates many of the central ideas behind what we now call the connectionist paradigm, and develops on this basis a theory of the workings of the human mind that extends the thinking of Hume and Mach. He shows that the idea of neural networks is can be applied not only in psychology and neurology but also in the sphere of economics. For the mind, from the perspective of The Sensory Order, is a dynamic, (...)
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