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What is the'D'in'PDP': a survey of the concept of distribution

In William Ramsey, Stephen P. Stich & D. M. Rumelhart (eds.), Philosophy and Connectionist Theory. Lawrence Erlbaum (1991)

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  1. Toward a theory of human memory: Data structures and access processes.Michael S. Humphreys, Janet Wiles & Simon Dennis - 1994 - Behavioral and Brain Sciences 17 (4):655-667.
    Starting from Marr's ideas about levels of explanation, a theory of the data structures and access processes in human memory is demonstrated on 10 tasks. Functional characteristics of human memory are captured implementation-independently. Our theory generates a multidimensional task classification subsuming existing classifications such as the distinction between tasks that are implicit versus explicit, data driven versus conceptually driven, and simple associative (two-way bindings) versus higher order (threeway bindings), providing a broad basis for new experiments. The formal language clarifies the (...)
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  • The roles of philosophy in cognitive science.Tim Van Gelder - 1998 - Philosophical Psychology 11 (2):117-36.
    When the various disciplines participating in cognitive science are listed, philosophy almost always gets a guernsey. Yet, a couple of years ago at the conference of the Cognitive Science Society in Boulder (USA), there was no philosophy or philosopher with any prominence on the program. When queried on this point, the organizer (one of the "superstars" of the field) claimed it was partly an accident, but partly also due to an impression among members of the committee that philosophy is basically (...)
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  • Marr versus Marr: On the notion of levels.Frank van der Velde, Gezinus Wolters & A. H. C. van der Heijden - 1994 - Behavioral and Brain Sciences 17 (4):681-682.
  • Can we really dissociate the computational and algorithm-level theories of human memory?Guy Tiberghien - 1994 - Behavioral and Brain Sciences 17 (4):680-681.
  • Progress within the bounds of memory.Steven A. Sloman - 1994 - Behavioral and Brain Sciences 17 (4):679-680.
  • Structural content: A naturalistic approach to implicit belief.Paul Skokowski - 2004 - Philosophy of Science 71 (3):362-369.
    Various systems that learn are examined to show how content is carried in connections installed by a learning history. Agents do not explicitly use the content of such states in practical reasoning, yet the content plays an important role in explaining behavior, and the physical state carrying that content plays a role in causing behavior, given other occurrent beliefs and desires. This leads to an understanding of the environmental reasons which are the determinate content of these states, and leads to (...)
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  • Networks with Attitudes.Paul Skokowski - 2007 - Artificial Intelligence and Society 22 (3):461-470.
    Does connectionism spell doom for folk psychology? I examine the proposal that cognitive representational states such as beliefs can play no role if connectionist models - - interpreted as radical new cognitive theories -- take hold and replace other cognitive theories. Though I accept that connectionist theories are radical theories that shed light on cognition, I reject the conclusion that neural networks do not represent. Indeed, I argue that neural networks may actually give us a better working notion of cognitive (...)
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  • Attractor spaces as modules: A semi-eliminative reduction of symbolic AI to dynamic systems theory. [REVIEW]Teed Rockwell - 2004 - Minds and Machines 15 (1):23-55.
    I propose a semi-eliminative reduction of Fodors concept of module to the concept of attractor basin which is used in Cognitive Dynamic Systems Theory (DST). I show how attractor basins perform the same explanatory function as modules in several DST based research program. Attractor basins in some organic dynamic systems have even been able to perform cognitive functions which are equivalent to the If/Then/Else loop in the computer language LISP. I suggest directions for future research programs which could find similar (...)
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  • Distributed representation and causal modularity: A rejoinder to Forster and Saidel.William Ramsey - 1994 - Philosophical Psychology 7 (4):453-61.
    In “Connectionism and the fats of folk psychology”, Forster and Saidel argue that the central claim of Ramsey, Stich and Garon (1991)—that distributed connectionist models are incompatible with the causal discreteness of folk psychology—is mistaken. To establish their claim, they offer an intriguing model which allegedly shows how distributed representations can function in a causally discrete manner. They also challenge our position regarding projectibility of folk psychology. In this essay, I offer a response to their account and show how their (...)
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  • How Do Artificial Neural Networks Classify Musical Triads? A Case Study in Eluding Bonini's Paradox.Arturo Perez, Helen L. Ma, Stephanie Zawaduk & Michael R. W. Dawson - 2023 - Cognitive Science 47 (1):e13233.
    How might artificial neural networks (ANNs) inform cognitive science? Often cognitive scientists use ANNs but do not examine their internal structures. In this paper, we use ANNs to explore how cognition might represent musical properties. We train ANNs to classify musical chords, and we interpret network structure to determine what representations ANNs discover and use. We find connection weights between input units and hidden units can be described using Fourier phase spaces, a representation studied in musical set theory. We find (...)
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  • Brain damage and cognitive dysfunction.Marlene Oscar-Berman - 1994 - Behavioral and Brain Sciences 17 (4):678-679.
  • Is the representation meaningful? A measurement theoretic view.In Jae Myung - 1994 - Behavioral and Brain Sciences 17 (4):677-678.
  • What are the “goals” of the human memory system?David J. Murray - 1994 - Behavioral and Brain Sciences 17 (4):676-677.
  • Caught in a bind: Context information and episodic memory.Kevin Murnane - 1994 - Behavioral and Brain Sciences 17 (4):675-676.
  • Consciousness: A connectionist manifesto. [REVIEW]Dan Lloyd - 1995 - Minds and Machines 5 (2):161-85.
    Connectionism and phenomenology can mutually inform and mutually constrain each other. In this manifesto I outline an approach to consciousness based on distinctions developed by connectionists. Two core identities are central to a connectionist theory of consciouness: conscious states of mind are identical to occurrent activation patterns of processing units; and the variable dispositional strengths on connections between units store latent and unconscious information. Within this broad framework, a connectionist model of consciousness succeeds according to the degree of correspondence between (...)
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  • Consciousness, connectionism, and cognitive neuroscience: A meeting of the minds.Dan Lloyd - 1996 - Philosophical Psychology 9 (1):61-78.
    Accounting for phenomenal structure—the forms, aspects, and features of conscious experience—poses a deep challenge for the scientific study of consciousness, but rather than abandon hope I propose a way forward. Connectionism, I argue, offers a bi-directional analogy, with its oft-noted “neural inspiration” on the one hand, and its largely unnoticed capacity to illuminate our phenomenology on the other. Specifically, distributed representations in a recurrent network enable networks to superpose categorical, contextual, and temporal information on a specific input representation, much as (...)
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  • The neurocomputational mind meets normative epistemology.Kenneth R. Livingston - 1996 - Philosophical Psychology 9 (1):33-59.
    The rapid development of connectionist models in computer science and of powerful computational tools in neuroscience has encouraged eliminativist materialist philosophers to propose specific alternatives to traditional mentalistic theories of mind. One of the problems associated with such a move is that elimination of the mental would seem to remove access to ideas like truth as the foundations of normative epistemology. Thus, a successful elimination of propositional or sentential theories of mind must not only replace them for purposes of our (...)
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  • Task-specification language, or theory of human memory?Richard L. Lewis - 1994 - Behavioral and Brain Sciences 17 (4):674-675.
  • Does a computational theory of human memory need intelligence?Sachiko Kinoshita - 1994 - Behavioral and Brain Sciences 17 (4):673-674.
  • Memory and social cognition.Yoshihisa Kashima - 1994 - Behavioral and Brain Sciences 17 (4):672-673.
  • On computational theories and multilevel, multitask models of cognition: The case of word recognition.Arthur M. Jacobs - 1994 - Behavioral and Brain Sciences 17 (4):670-672.
  • Beyond the Tower of Babel in human memory research: The validity and utility of specification.Michael S. Humphreys, Janet Wiles & Simon Dennis - 1994 - Behavioral and Brain Sciences 17 (4):682-692.
  • The cognitive RISC machine needs complexity.Richard A. Heath - 1994 - Behavioral and Brain Sciences 17 (4):669-670.
  • On the proper treatment of semantic systematicity.Robert F. Hadley - 2004 - Minds and Machines 14 (2):145-172.
    The past decade has witnessed the emergence of a novel stance on semantic representation, and its relationship to context sensitivity. Connectionist-minded philosophers, including Clark and van Gelder, have espoused the merits of viewing hidden-layer, context-sensitive representations as possessing semantic content, where this content is partially revealed via the representations'' position in vector space. In recent work, Bodén and Niklasson have incorporated a variant of this view of semantics within their conception of semantic systematicity. Moreover, Bodén and Niklasson contend that they (...)
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  • A defence of connectionism against the "syntactic" argument.Marcello Guarini - 2001 - Synthese 128 (3):287-317.
    In "Representations without Rules, Connectionism and the Syntactic Argument'', Kenneth Aizawa argues against the view that connectionist nets can be understood as processing representations without the use of representation-level rules, and he provides a positive characterization of how to interpret connectionist nets as following representation-level rules. He takes Terry Horgan and John Tienson to be the targets of his critique. The present paper marshals functional and methodological considerations, gleaned from the practice of cognitive modelling, to argue against Aizawa's characterization of (...)
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  • Why do we need a computational theory of laboratory tasks?Robert L. Greene - 1994 - Behavioral and Brain Sciences 17 (4):668-669.
  • Strong and weak formal specifications.Richard M. Golden - 1994 - Behavioral and Brain Sciences 17 (4):668-668.
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  • Towards a General Theory of Antirepresentationalism.Francisco Calvo Garzón - 2008 - British Journal for the Philosophy of Science 59 (3):259-292.
    This work represents an attempt to stake out the landscape for dynamicism based on a radical dismissal of the information-processing paradigm that dominates the philosophy of cognitive science. In Section 2, after setting up the basic toolkit of a theory of minimal representationalism, I introduce the central tenets of dynamic systems theory (DST) by discussing recent research in the dynamics of embodiment (Thelen et al. [2001]) in the perseverative-reaching literature. A recent proposal on the dynamics of representation--the dynamic field approach (...)
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  • Predictive processing and anti-representationalism.Marco Facchin - 2021 - Synthese 199 (3-4):11609-11642.
    Many philosophers claim that the neurocomputational framework of predictive processing entails a globally inferentialist and representationalist view of cognition. Here, I contend that this is not correct. I argue that, given the theoretical commitments these philosophers endorse, no structure within predictive processing systems can be rightfully identified as a representational vehicle. To do so, I first examine some of the theoretical commitments these philosophers share, and show that these commitments provide a set of necessary conditions the satisfaction of which allows (...)
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  • Folk psychology and cognitive architecture.Frances Egan - 1995 - Philosophy of Science 62 (2):179-96.
    It has recently been argued that the success of the connectionist program in cognitive science would threaten folk psychology. I articulate and defend a "minimalist" construal of folk psychology that comports well with empirical evidence on the folk understanding of belief and is compatible with even the most radical developments in cognitive science.
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  • Superpositional connectionism: A reply to Marinov. [REVIEW]Andy Clark - 1993 - Minds and Machines 3 (3):271-81.
    Marinov''s critique I argue, is vitiated by its failure to recognize the distinctive role of superposition within the distributed connectionist paradigm. The use of so-called subsymbolic distributed encodings alone is not, I agree, enough to justify treating distributed connectionism as a distinctive approach. It has always been clear that microfeatural decomposition is both possible and actual within the confines of recognizably classical approaches. When such approaches also involve statistically-driven learning algorithms — as in the case of ID3 — the fundamental (...)
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  • Inorganic memory.Thomas L. Clarke - 1994 - Behavioral and Brain Sciences 17 (4):667-667.
  • Representation, levels, and context in integrational linguistics and distributed cognition.John Sutton - 2004 - Language Sciences (6):503-524.
    Distributed Cognition and Integrational Linguistics have much in common. Both approaches see communicative activity and intelligent behaviour in general as strongly con- text-dependent and action-oriented, and brains as permeated by history. But there is some ten- sion between the two frameworks on three important issues. The majority of theorists of distributed cognition want to maintain some notions of mental representation and computa- tion, and to seek generalizations and patterns in the various ways in which creatures like us couple with technologies, (...)
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  • The epiphenomenal mind.Simon Buttars - unknown
    The Epiphenomenal Mind is both a deflationary attack on the powers of the human mind and a defence of human subjectivity. It is deflationary because in the thesis I argue that consciousness is an epiphenomenal consequence of events in the brain. It is a defence of human subjectivity because I argue that the mind is sui generis real, irreducible, and largely an endogenous product (i.e. not dependent on society or its resources). Part I is devoted to arguing that the conscious (...)
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  • Remembering without storing: beyond archival models in the science and philosophy of human memory.Ian O'Loughlin - 2014 - Dissertation,
    Models of memory in cognitive science and philosophy have traditionally explained human remembering in terms of storage and retrieval. This tendency has been entrenched by reliance on computationalist explanations over the course of the twentieth century; even research programs that eschew computationalism in name, or attempt the revision of traditional models, demonstrate tacit commitment to computationalist assumptions. It is assumed that memory must be stored by means of an isomorphic trace, that memory processes must divide into conceptually distinct systems and (...)
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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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