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How Implicit is Implicit Learning?

(ed.)
Oxford University Press (1997)

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  1. Trading spaces: Computation, representation, and the limits of uninformed learning.Andy Clark & Chris Thornton - 1997 - Behavioral and Brain Sciences 20 (1):57-66.
    Some regularities enjoy only an attenuated existence in a body of training data. These are regularities whose statistical visibility depends on some systematic recoding of the data. The space of possible recodings is, however, infinitely large – it is the space of applicable Turing machines. As a result, mappings that pivot on such attenuated regularities cannot, in general, be found by brute-force search. The class of problems that present such mappings we call the class of “type-2 problems.” Type-1 problems, by (...)
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  • On the centrality of human value.Teresa Carla Oliveira & Stuart Holland - 2012 - Journal of Economic Methodology 19 (2):121 - 141.
    The financial crash of 2008 following the selling of fictitious derivatives was a crisis of both rationality and values whose aftermath has thrown the legitimation of deregulated markets, and governments, into question. This paper critiques the Becker metaphor of human capital and submits that human value is central to and the fulcrum of both economic and social values. It illustrates that Hume and Adam Smith directly countered the Hobbesian hypothesis that human nature is based only on self-interest, distinguishes market values (...)
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  • A theory of implicit and explicit knowledge.Zoltan Dienes & Josef Perner - 1999 - Behavioral and Brain Sciences 22 (5):735-808.
    The implicit-explicit distinction is applied to knowledge representations. Knowledge is taken to be an attitude towards a proposition which is true. The proposition itself predicates a property to some entity. A number of ways in which knowledge can be implicit or explicit emerge. If a higher aspect is known explicitly then each lower one must also be known explicitly. This partial hierarchy reduces the number of ways in which knowledge can be explicit. In the most important type of implicit knowledge, (...)
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  • No virtual mind in the chinese room.C. Kaernbach - 2005 - Journal of Consciousness Studies 12 (11):31-42.
    The Chinese room thought experiment of John Searle militates against strong artificial intelligence, illustrating his claim that syntactical knowledge by itself is neither constitutive nor sufficient for semantic understanding as found in human minds. This thought experiment was put to a behavioural test, concerning the syntax of a finite algebraic field. Input, rules and output were presented with letters instead of numbers. The set of rules was first presented as a table but finally internalized by the participants. Quite in line (...)
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  • Subjective measures of consciousness in artificial grammar learning task.Michał Wierzchoń, Dariusz Asanowicz, Borysław Paulewicz & Axel Cleeremans - 2012 - Consciousness and Cognition 21 (3):1141-1153.
    Consciousness can be measured in various ways, but different measures often yield different conclusions about the extent to which awareness relates to performance. Here, we compare five different subjective measures of awareness in the context of an artificial grammar learning task. Participants expressed their subjective awareness of rules using one of five different scales: confidence ratings , post-decision wagering , feeling of warmth , rule awareness , and continuous scale . All scales were equally sensitive to conscious knowledge. PDW, however, (...)
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  • Can musical transformations be implicitly learned?Zoltan Dienes & Christopher Longuet-Higgins - 2004 - Cognitive Science 28 (4):531-558.
    The dominant theory of what people can learn implicitly is that they learn chunks of adjacent elements in sequences. A type of musical grammar that goes beyond specifying allowable chunks is provided by serialist or 12‐tone music. The rules constitute operations over variables and could not be appreciated as such by a system that can only chunk elements together. A series of studies investigated the extent to which people could implicitly (or explicitly) learn the structures of serialist music. We found (...)
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  • Relational learning re-examined.Chris Thornton & Andy Clark - 1997 - Behavioral and Brain Sciences 20 (1):83-83.
    We argue that existing learning algorithms are often poorly equipped to solve problems involving a certain type of important and widespread regularity that we call “type-2 regularity.” The solution in these cases is to trade achieved representation against computational search. We investigate several ways in which such a trade-off may be pursued including simple incremental learning, modular connectionism, and the developmental hypothesis of “representational redescription.”.
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  • (1 other version)Implicit learning: News from the front.Axel Cleeremans, Arnaud Destrebecqz & Maud Boyer - 1998 - Trends in Cognitive Sciences 2 (10):406-416.
    69 Thompson-Schill, S.L. _et al. _(1997) Role of left inferior prefrontal cortex 59 Buckner, R.L. _et al. _(1996) Functional anatomic studies of memory in retrieval of semantic knowledge: a re-evaluation _Proc. Natl. Acad._ retrieval for auditory words and pictures _J. Neurosci. _16, 6219–6235 _Sci. U. S. A. _94, 14792–14797 60 Buckner, R.L. _et al. _(1995) Functional anatomical studies of explicit and 70 Baddeley, A. (1992) Working memory: the interface between memory implicit memory retrieval tasks _J. Neurosci. _15, 12–29 and cognition (...)
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  • Representation and knowledge are not the same thing.Leslie Smith - 1999 - Behavioral and Brain Sciences 22 (5):784-785.
    Two standard epistemological accounts are conflated in Dienes & Perner's account of knowledge, and this conflation requires the rejection of their four conditions of knowledge. Because their four metarepresentations applied to the explicit-implicit distinction are paired with these conditions, it follows by modus tollens that if the latter are inadequate, then so are the former. Quite simply, their account misses the link between true reasoning and knowledge.
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  • Implicit Learning and Acquisition of Music.Martin Rohrmeier & Patrick Rebuschat - 2012 - Topics in Cognitive Science 4 (4):525-553.
    Implicit learning is a core process for the acquisition of a complex, rule‐based environment from mere interaction, such as motor action, skill acquisition, or language. A body of evidence suggests that implicit knowledge governs music acquisition and perception in nonmusicians and musicians, and that both expert and nonexpert participants acquire complex melodic, harmonic, and other features from mere exposure. While current findings and computational modeling largely support the learning of chunks, some results indicate learning of more complex structures. Despite the (...)
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  • Embodied Pheno-Pragma-Practice - Phenomenological and Pragmatic Perspectives on Creative "Inter-practice" in Organisations between Habits and Improvisation.Wendelin M. Kupers - 2011 - Phenomenology and Practice 5 (1):100-139.
    The purpose of this article is to develop a critical and extended understanding of creative practices in organisation from a phenomenological point of view. To develop such an understanding of practice, this paper will first outline a phenomenological understanding of creative practice, understood particularly with Merleau-Ponty as an embodied and situated nexus of action. Subsequently, the paper will show the contribution of pragmatism to an interpretation of practice as an experience-based reality and will describe the significance of habits. After briefly (...)
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  • What's in a Name? The Multiple Meanings of “Chunk” and “Chunking”.Fernand Gobet, Martyn Lloyd-Kelly & Peter C. R. Lane - 2016 - Frontiers in Psychology 7.
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