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Representation and rule-instantiation in connectionist systems

In Terence E. Horgan & John L. Tienson (eds.), Connectionism and the Philosophy of Mind. Kluwer Academic Publishers (1991)

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  1. Synchronization and cognitive carpentry: From systematic structuring to simple reasoning. E. Koerner - 1993 - Behavioral and Brain Sciences 16 (3):465-466.
  • Ethereal oscillations.Malcolm P. Young - 1993 - Behavioral and Brain Sciences 16 (3):476-477.
  • Dynamic-binding theory is not plausible without chaotic oscillation.Ichiro Tsuda - 1993 - Behavioral and Brain Sciences 16 (3):475-476.
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  • Should first-order logic be neurally plausible?David S. Touretzky & Scott E. Fahlman - 1993 - Behavioral and Brain Sciences 16 (3):474-475.
  • Temporal synchrony and the speed of visual processing.Simon J. Thorpe - 1993 - Behavioral and Brain Sciences 16 (3):473-474.
  • Phase logic is biologically relevant logic.Gary W. Strong - 1993 - Behavioral and Brain Sciences 16 (3):472-473.
  • Quel Arrière-plan pour l'esprit?Pierre Steiner - 2006 - Dialogue 45 (3):419-444.
    This article analyzes the notion of background capacities as developed by John Searle during the last twenty years in philosophy of mind. Broadly construed, this notion designates non-representational mental capacities as the means by which mental representations are given a precise semantic content and thus are able to be expressed. Though novel and relevant, I intend to show that, according to Searle's description, this notion proves inadequate to attain its descriptive and explicative goals. I go on to regard background capacities (...)
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  • Do simple associations lead to systematic reasoning?Steven Sloman - 1993 - Behavioral and Brain Sciences 16 (3):471-472.
  • From simple associations to systematic reasoning: A connectionist representation of rules, variables, and dynamic binding using temporal synchrony.Lokendra Shastri & Venkat Ajjanagadde - 1993 - Behavioral and Brain Sciences 16 (3):417-51.
    Human agents draw a variety of inferences effortlessly, spontaneously, and with remarkable efficiency – as though these inferences were a reflexive response of their cognitive apparatus. Furthermore, these inferences are drawn with reference to a large body of background knowledge. This remarkable human ability seems paradoxical given the complexity of reasoning reported by researchers in artificial intelligence. It also poses a challenge for cognitive science and computational neuroscience: How can a system of simple and slow neuronlike elements represent a large (...)
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  • A step toward modeling reflexive reasoning.Lokendra Shastri & Venkat Ajjanagadde - 1993 - Behavioral and Brain Sciences 16 (3):477-494.
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  • Useful ideas for exploiting time to engineer representations.Richard Rohwer - 1993 - Behavioral and Brain Sciences 16 (3):471-471.
  • Do connectionist representations earn their explanatory keep?William Ramsey - 1997 - Mind and Language 12 (1):34-66.
    In this paper I assess the explanatory role of internal representations in connectionist models of cognition. Focusing on both the internal‘hidden’units and the connection weights between units, I argue that the standard reasons for viewing these components as representations are inadequate to bestow an explanatorily useful notion of representation. Hence, nothing would be lost from connectionist accounts of cognitive processes if we were to stop viewing the weights and hidden units as internal representations.
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  • Do Connectionist Representations Earn Their Explanatory Keep?William Ramsey - 1997 - Mind and Language 12 (1):34-66.
    In this paper I assess the explanatory role of internal representations in connectionist models of cognition. Focusing on both the internal‘hidden’units and the connection weights between units, I argue that the standard reasons for viewing these components as representations are inadequate to bestow an explanatorily useful notion of representation. Hence, nothing would be lost from connectionist accounts of cognitive processes if we were to stop viewing the weights and hidden units as internal representations.
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  • Making reasoning more reasonable: Event-coherence and assemblies.Günther Palm - 1993 - Behavioral and Brain Sciences 16 (3):470-470.
  • Psychological implications of the synchronicity hypothesis.Stellan Ohlsson - 1993 - Behavioral and Brain Sciences 16 (3):469-469.
  • Computational and biological constraints in the psychology of reasoning.Mike Oaksford & Mike Malloch - 1993 - Behavioral and Brain Sciences 16 (3):468-469.
  • What we know and the LTKB.Stanley Munsat - 1993 - Behavioral and Brain Sciences 16 (3):466-467.
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  • Reflections on reflexive reasoning.David L. Martin - 1993 - Behavioral and Brain Sciences 16 (3):466-466.
  • Distributing structure over time.John E. Hummel & Keith J. Holyoak - 1993 - Behavioral and Brain Sciences 16 (3):464-464.
  • On the artificial intelligence paradox.Steffen Hölldobler - 1993 - Behavioral and Brain Sciences 16 (3):463-464.
  • Not all reflexive reasoning is deductive.Graeme Hirst & Dekai Wu - 1993 - Behavioral and Brain Sciences 16 (3):462-463.
  • The brain's 'new' science: Psychology, neurophysiology, and constraint.Gary Hatfield - 2000 - Philosophy of Science 67 (3):388-404.
    There is a strong philosophical intuition that direct study of the brain can and will constrain the development of psychological theory. When this intuition is tested against case studies on the neurophysiology and psychology of perception and memory, it turns out that psychology has led the way toward knowledge of neurophysiology. An abstract argument is developed to show that psychology can and must lead the way in neuroscientific study of mental function. The opposing intuition is based on mainly weak arguments (...)
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  • Gibson and Gestalt: (re)presentation, processing, and construction.Gary Hatfield - 2019 - Synthese 198 (Suppl 9):2213-2241.
    Seeking to avoid the typical binary choices between symbolic representations and no representations, or between functionally decomposable psychological processes and no psychological processes, or between direct perception of mind-independent physical properties and indirect perception of sense data, this article proposes that even a clear-thinking friend of Gibson can accept that perception of the environment is mediated by appearances and that such appearances are produced by functionally decomposable, rule-instantiating psychological processes. In so doing, it avoids both hyper-intellectualization of the perceptual process (...)
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  • Rule acquisition and variable binding: Two sides of the same coin.P. J. Hampson - 1993 - Behavioral and Brain Sciences 16 (3):462-462.
  • Competing, or perhaps complementary, approaches to the dynamic-binding problem, with similar capacity limitations.Graeme S. Halford - 1993 - Behavioral and Brain Sciences 16 (3):461-462.
  • Self-organizing neural models of categorization, inference and synchrony.Stephen Grossberg - 1993 - Behavioral and Brain Sciences 16 (3):460-461.
  • Must we solve the binding problem in neural hardware?James W. Garson - 1993 - Behavioral and Brain Sciences 16 (3):459-460.
  • Deconstruction of neural data yields biologically implausible periodic oscillations.Walter J. Freeman - 1993 - Behavioral and Brain Sciences 16 (3):458-459.
  • Toward a unified behavioral and brain science.Jerome A. Feldman - 1993 - Behavioral and Brain Sciences 16 (3):458-458.
  • Dynamic bindings by real neurons: Arguments from physiology, neural network models and information theory.Reinhard Eckhorn - 1993 - Behavioral and Brain Sciences 16 (3):457-458.
  • Connectionism and syntactic binding of concepts.Georg Dorffner - 1993 - Behavioral and Brain Sciences 16 (3):456-457.
  • Reasoning, learning and neuropsychological plausibility.Joachim Diederich - 1993 - Behavioral and Brain Sciences 16 (3):455-456.
  • Making a middling mousetrap.Michael R. W. Dawson & Istvan Berkeley - 1993 - Behavioral and Brain Sciences 16 (3):454-455.
  • From symbols to neurons: Are we there yet?Garrison W. Cottrell - 1993 - Behavioral and Brain Sciences 16 (3):454-454.
  • Could static binding suffice?Paul R. Cooper - 1993 - Behavioral and Brain Sciences 16 (3):453-454.
  • Plausible inference and implicit representation.Malcolm I. Bauer - 1993 - Behavioral and Brain Sciences 16 (3):452-453.
  • Time phases, pointers, rules and embedding.John A. Barnden - 1993 - Behavioral and Brain Sciences 16 (3):451-452.
    This paper is a commentary on the target article by Lokendra Shastri & Venkat Ajjanagadde [S&A]: “From simple associations to systematic reasoning: A connectionist representation of rules, variables and dynamic bindings using temporal synchrony” in same issue of the journal, pp.417–451. -/- It puts S&A's temporal-synchrony binding method in a broader context, comments on notions of pointing and other ways of associating information - in both computers and connectionist systems - and mentions types of reasoning that are a challenge to (...)
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  • Embodied cognition.A. Wilson Robert & Foglia Lucia - 2011 - Stanford Encyclopedia of Philosophy.
    Cognition is embodied when it is deeply dependent upon features of the physical body of an agent, that is, when aspects of the agent's body beyond the brain play a significant causal or physically constitutive role in cognitive processing. In general, dominant views in the philosophy of mind and cognitive science have considered the body as peripheral to understanding the nature of mind and cognition. Proponents of embodied cognitive science view this as a serious mistake. Sometimes the nature of the (...)
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  • Connectionism.James Garson & Cameron Buckner - 2019 - Stanford Encyclopedia of Philosophy.
  • Perception as Unconscious Inference.Gary Hatfield - 2002 - In Dieter Heyer & Rainer Mausfeld (eds.), Perception and the Physical World: Psychological and Philosophical Issues in Perception. John Wiley and Sons. pp. 113--143.
    In this chapter I examine past and recent theories of unconscious inference. Most theorists have ascribed inferences to perception literally, not analogically, and I focus on the literal approach. I examine three problems faced by such theories if their commitment to unconscious inferences is taken seriously. Two problems concern the cognitive resources that must be available to the visual system (or a more central system) to support the inferences in question. The third problem focuses on how the conclusions of inferences (...)
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  • Representation and constraints: The inverse problem and the structure of visual space.Gary Hatfield - 2003 - Acta Psychologica 114:355-378.
    Visual space can be distinguished from physical space. The first is found in visual experience, while the second is defined independently of perception. Theorists have wondered about the relation between the two. Some investigators have concluded that visual space is non-Euclidean, and that it does not have a single metric structure. Here it is argued that visual space exhibits contraction in all three dimensions with increasing distance from the observer, that experienced features of this contraction are not the same as (...)
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  • Philosophy of Psychology as Philosophy of Science.Gary Hatfield - 1994 - PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association 1994:19 - 23.
    This paper serves to introduce the papers from the symposium by the same title, by describing the sort of work done in philosophy of psychology conceived as a branch of the philosophy of science, distinguishing it from other discussions of psychology in philosophy, and criticizing the claims to set limits on scientific psychology in the largely psychologically uninformed literatures concerning "folk psychology' and "wide" and "narrow" content. Philosophy of psychology as philosophy of science takes seriously and analyzes the explanatory structures, (...)
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  • Distributed memory, coupling, and history.John Sutton - 1999 - In R. Heath, B. Hayes, A. Heathcote & C. Hooker (eds.), Dynamical Cognitive Science: Proceedings of the Fourth Australasian Cognitive Science Conference. University of Newcastle.
    A case study in historical cognitive science, this paper addresses two claims made by radical proponents of new dynamical approaches. It queries their historical narrative, which sees embodied, situated cognition as correcting an individualist, atemporal framework originating in Descartes. In fact, new Descartes scholarship shows that 17th-century animal spirits neurophysiology realized a recognizably distributed model of memory; explicit representations are patterns of spirit flow, and memory traces are changes left by experience in connections between brain pores. This historical sketch supports (...)
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