30 found
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  1.  2
    TRACX: A Recognition-Based Connectionist Framework for Sequence Segmentation and Chunk Extraction.Robert M. French, Caspar Addyman & Denis Mareschal - 2011 - Psychological Review 118 (4):614-636.
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  2. Subcognition and the Limits of the Turing Test.Robert M. French - 1990 - Mind 99 (393):53-66.
  3.  59
    Active Symbols and Internal Models: Towards a Cognitive Connectionism. [REVIEW]S. Kaplan, M. Weaver & Robert M. French - 1990 - AI and Society 4 (1):51-71.
    In the first section of the article, we examine some recent criticisms of the connectionist enterprise: first, that connectionist models are fundamentally behaviorist in nature (and, therefore, non-cognitive), and second that connectionist models are fundamentally associationist in nature (and, therefore, cognitively weak). We argue that, for a limited class of connectionist models (feed-forward, pattern-associator models), the first criticism is unavoidable. With respect to the second criticism, we propose that connectionist modelsare fundamentally associationist but that this is appropriate for building models (...)
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  4.  41
    The Computational Modeling of Analogy-Making.Robert M. French - 2002 - Trends in Cognitive Sciences 6 (5):200-205.
  5.  73
    Computational Modeling in Cognitive Science: A Manifesto for Change.Caspar Addyman & Robert M. French - 2012 - Topics in Cognitive Science 4 (3):332-341.
    Computational modeling has long been one of the traditional pillars of cognitive science. Unfortunately, the computer models of cognition being developed today have not kept up with the enormous changes that have taken place in computer technology and, especially, in human-computer interfaces. For all intents and purposes, modeling is still done today as it was 25, or even 35, years ago. Everyone still programs in his or her own favorite programming language, source code is rarely made available, accessibility of models (...)
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  6.  5
    The Role of Bottom-Up Processing in Perceptual Categorization by 3- to 4-Month-Old Infants: Simulations and Data.Robert M. French, Denis Mareschal, Martial Mermillod & Paul C. Quinn - 2004 - Journal of Experimental Psychology: General 133 (3):382-397.
  7.  34
    Implicit Learning and Consciousness: An Empirical, Philosophical, and Computational Consensus in the Making.Robert M. French - 2002 - Psychology Press.
    Implicit Learning and Consciousness challenges conventional wisdom and presents the most up-to-date studies to define, quantify and test the predictions of the main models of implicit learning. The chapters include a variety of research from computer modeling, experimental psychology and neural imaging to the clinical data resulting from work with amnesics. The result is a topical book that provides an overview of the debate on implicit learning, and the various philosophical, psychological and neurological frameworks in which it can be placed. (...)
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  8.  40
    Understanding Bilingual Memory: Models and Data.Robert M. French & Maud Jacquet - 2004 - Trends in Cognitive Sciences 8 (2):87-93.
  9. High-Level Perception, Representation, and Analogy:A Critique of Artificial Intelligence Methodology.David J. Chalmers, Robert M. French & Douglas R. Hofstadter - 1992 - Journal of Experimental and Theoretical Artificial Intellige 4 (3):185 - 211.
    High-level perception--”the process of making sense of complex data at an abstract, conceptual level--”is fundamental to human cognition. Through high-level perception, chaotic environmen- tal stimuli are organized into the mental representations that are used throughout cognitive pro- cessing. Much work in traditional artificial intelligence has ignored the process of high-level perception, by starting with hand-coded representations. In this paper, we argue that this dis- missal of perceptual processes leads to distorted models of human cognition. We examine some existing artificial-intelligence models--”notably (...)
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  10.  27
    Interactive Effects of Explicit Emergent Structure: A Major Challenge for Cognitive Computational Modeling.Robert M. French & Elizabeth Thomas - 2015 - Topics in Cognitive Science 7 (2):206-216.
    David Marr's three-level analysis of computational cognition argues for three distinct levels of cognitive information processing—namely, the computational, representational, and implementational levels. But Marr's levels are—and were meant to be—descriptive, rather than interactive and dynamic. For this reason, we suggest that, had Marr been writing today, he might well have gone even farther in his analysis, including the emergence of structure—in particular, explicit structure at the conceptual level—from lower levels, and the effect of explicit emergent structures on the level that (...)
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  11.  10
    Asymmetric Interference in 3‐ to 4‐Month‐Olds' Sequential Category Learning.Denis Mareschal, Paul C. Quinn & Robert M. French - 2002 - Cognitive Science 26 (3):377-389.
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  12.  50
    Peeking Behind the Screen: The Unsuspected Power of the Standard Turing Test.Robert M. French - 2000 - Journal of Experimental and Theoretical Artificial Intelligence 12 (3):331-340.
    No computer that had not experienced the world as we humans had could pass a rigorously administered standard Turing Test. We show that the use of “subcognitive” questions allows the standard Turing Test to indirectly probe the human subcognitive associative concept network built up over a lifetime of experience with the world. Not only can this probing reveal differences in cognitive abilities, but crucially, even differences in _physical aspects_ of the candidates can be detected. Consequently, it is unnecessary to propose (...)
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  13.  30
    Interactively Converging on Context-Sensitive Representations: A Solution to the Frame Problem.Patrick Anselme & Robert M. French - 1999 - Revue Internationale de Philosophie 53 (209):365-385.
    While we agree that the frame problem, as initially stated by McCarthy and Hayes (1969), is a problem that arises because of the use of representations, we do not accept the anti-representationalist position that the way around the problem is to eliminate representations. We believe that internal representations of the external world are a necessary, perhaps even a defining feature, of higher cognition. We explore the notion of dynamically created context-dependent representations that emerge from a continual interaction between working memory, (...)
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  14.  13
    Relational Priming is to Analogy-Making as One-Ball Juggling is to Seven-Ball Juggling.Robert M. French - 2008 - Behavioral and Brain Sciences 31 (4):386-387.
    Relational priming is argued to be a deeply inadequate model of analogy-making because of its intrinsic inability to do analogies where the base and target domains share no common attributes and the mapped relations are different. Leech et al. rely on carefully handcrafted representations to allow their model to make a complex analogy, seemingly unaware of the debate on this issue fifteen years ago. Finally, they incorrectly assume the existence of fixed, context-independent relations between objects.
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  15.  38
    From Chicken Squawking to Cognition: Levels of Description and the Computational Approach in Psychology.Axel Cleeremans & Robert M. French - 1996 - Psychologica Belgica 36:5-29.
  16.  55
    The Dynamical Hypothesis in Cognitive Science: A Review Essay of Mind As Motion[REVIEW]Robert M. French & Elizabeth Thomas - 2001 - Minds and Machines 11 (1):101-111.
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  17.  15
    Refocusing the Debate on the Turing Test: A Reply to Jacquette.Robert M. French - 1995 - Behavior and Philosophy 23 (1):59 - 60.
  18.  13
    All Cases of Word Production Are Not Created Equal: Reply to Costa and Santesteban.Robert M. French & Maud Jacquet - 2004 - Trends in Cognitive Sciences 8 (6):254.
  19.  18
    An Analogy Between Western Legal Traditions and Approaches to Artificial Intelligence.Robert M. French - 1989 - AI and Society 3 (3):229-234.
  20.  28
    The Dynamical Hypothesis: One Battle Behind.Robert M. French & Elizabeth Thomas - 1998 - Behavioral and Brain Sciences 21 (5):640-641.
    What new implications does the dynamical hypothesis have for cognitive science? The short answer is: None. The _Behavior and Brain Sciences _target article, “The dynamical hypothesis in cognitive science” by Tim Van Gelder is basically an attack on traditional symbolic AI and differs very little from prior connectionist criticisms of it. For the past ten years, the connectionist community has been well aware of the necessity of using (and understanding) dynamically evolving, recurrent network models of cognition.
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  21.  11
    Computational Models of Analogy-Making.Boicho Kokinov & Robert M. French - 2003 - In L. Nadel (ed.), Encyclopedia of Cognitive Science. Nature Publishing Group. pp. 1--113.
  22.  14
    Natura Non Facit Saltum: The Need for the Full Continuum of Mental Representations.Robert M. French - 2002 - Behavioral and Brain Sciences 25 (3):339-340.
    Natura non facit saltum (Nature does not make leaps) was the lovely aphorism on which Darwin based his work on evolution. It applies as much to the formation of mental representations as to the formation of species, and therein lies our major disagreement with the SOC model proposed by Perruchet & Vinter.
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  23.  9
    Why Localist Connectionist Models Are Inadequate for Categorization.Robert M. French & Elizabeth Thomas - 2000 - Behavioral and Brain Sciences 23 (4):477-477.
    Two categorization arguments pose particular problems for localist connectionist models. The internal representations of localist networks do not reflect the variability within categories in the environment, whereas networks with distributed internal representations do reflect this essential feature of categories. We provide a real biological example of perceptual categorization in the monkey that seems to require population coding (i.e., distributed internal representations).
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  24.  10
    A New Manifesto for Child Development Research.Robert M. French - 2008 - Behavioral and Brain Sciences 31 (3):339-340.
    This book is an excellent manifesto for future work in child development. It presents a multidisciplinary approach that clearly demonstrates the value of integrating modeling, neuroscience, and behavior to explore the mechanisms underlying development and to show how internal context-dependent representations arise and are modified during development. Its only major flaw is to have given short shrift to the study of the role of genetics on development.
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  25.  8
    Constrained Connectionism and the Limits of Human Semantics: A Review Essay of Terry Regier's the Human Semantic Potential. [REVIEW]Robert M. French - 1999 - Philosophical Psychology 12 (4):515 – 523.
    Taking to heart Massaro's [(1988) Some criticisms of connectionist models of human performance, Journal of Memory and Language, 27, 213-234] criticism that multi-layer perceptrons are not appropriate for modeling human cognition because they are too powerful (i.e. they can simulate just about anything, which gives them little explanatory power), Regier develops the notion of constrained connectionism. The model that he discusses is a distributed network but with numerous constraints added that are (more or less) motivated by real psychophysical and neurophysical (...)
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  26.  2
    Function, Sufficiently Constrained, Implies Form: Commentary on Green on Connectionist Explanation.Robert M. French & Axel Cleeremans - unknown
    Green's target article is an attack on most current connectionist models of cognition. Our commentary will suggest that there is an essential component missing in his discussion of modeling, namely, the idea that the appropriate level of the model needs to be specified. We will further suggest that the precise form of connectionist networks will fall out as ever more detailed constraints are placed on their function.
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  27.  4
    New-Feature Learning: How Common is It?Robert M. French & Mark Weaver - 1998 - Behavioral and Brain Sciences 21 (1):26-26.
    The fixed-feature viewpoint Schyns et al. are opposing is not a widely held theoretical position but rather a working assumption of cognitive psychologists – and thus a straw man. We accept their demonstration of new-feature acquisition, but question its ubiquity in category learning. We suggest that new-feature learning (at least in adults) is rarer and more difficult than the authors suggest.
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  28. Implicit Learning and Consciousness: An Empirical.Robert M. French & Axel Cleeremans (eds.) - 2002 - Psychology Press.
  29. Refocusing the Debate on the Turing Test: A Response.Robert M. French - 1995 - Behavior and Philosophy 23 (1):59-60.
     
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  30. Comptes Rendus Pierre Daled, Spiritualisme Et Matérialisme au Xixe Siècle (Yves Lepers) 449 J.-C. DuPont, Histoire de la Neurotransmission (Rodolphe Vàn-Wunendaele) 450.Jean-Noël Missa, Claude Debru, Joëlle Proust, Pierre Karli, Robert M. French, Patrick Anselme, Axel Cleeremans & John-Dylan Haynes - 1999 - Revue Internationale de Philosophie 53:265.
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