Results for 'Paul Smolensky'

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  1. On the proper treatment of connectionism.Paul Smolensky - 1988 - Behavioral and Brain Sciences 11 (1):1-23.
    A set of hypotheses is formulated for a connectionist approach to cognitive modeling. These hypotheses are shown to be incompatible with the hypotheses underlying traditional cognitive models. The connectionist models considered are massively parallel numerical computational systems that are a kind of continuous dynamical system. The numerical variables in the system correspond semantically to fine-grained features below the level of the concepts consciously used to describe the task domain. The level of analysis is intermediate between those of symbolic cognitive models (...)
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  2.  93
    Tensor product variable binding and the representation of symbolic structures in connectionist systems.Paul Smolensky - 1990 - Artificial Intelligence 46 (1-2):159-216.
  3. The constituent structure of connectionist mental states: A reply to Fodor and Pylyshyn.Paul Smolensky - 1988 - Southern Journal of Philosophy 26 (S1):137-161.
  4. Connectionism, constituency and the language of thought.Paul Smolensky - 1991 - In Barry M. Loewer (ed.), Meaning in Mind: Fodor and His Critics. Cambridge: Blackwell.
  5. The Harmonie Mind. From Neural Computation to Optimality-Theoretic Grammar.Paul Smolensky & Géraldine Legendre - 2009 - Journal for General Philosophy of Science / Zeitschrift für Allgemeine Wissenschaftstheorie 40 (1):141-147.
  6.  76
    Optimization and Quantization in Gradient Symbol Systems: A Framework for Integrating the Continuous and the Discrete in Cognition.Paul Smolensky, Matthew Goldrick & Donald Mathis - 2014 - Cognitive Science 38 (6):1102-1138.
    Mental representations have continuous as well as discrete, combinatorial properties. For example, while predominantly discrete, phonological representations also vary continuously; this is reflected by gradient effects in instrumental studies of speech production. Can an integrated theoretical framework address both aspects of structure? The framework we introduce here, Gradient Symbol Processing, characterizes the emergence of grammatical macrostructure from the Parallel Distributed Processing microstructure (McClelland, Rumelhart, & The PDP Research Group, 1986) of language processing. The mental representations that emerge, Distributed Symbol Systems, (...)
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  7.  31
    Learning biases predict a word order universal.Jennifer Culbertson, Paul Smolensky & Géraldine Legendre - 2012 - Cognition 122 (3):306-329.
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  8. Constituent structure and explanation in an integrated connectionist/symbolic cognitive architecture.Paul Smolensky - 1995 - In C. Macdonald (ed.), Connectionism: Debates on Psychological Explanation. Blackwell.
  9.  25
    Grammar‐based Connectionist Approaches to Language.Paul Smolensky - 1999 - Cognitive Science 23 (4):589-613.
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  10. The constituent structure of connectionist mental states.Paul Smolensky - 1987 - Southern Journal of Philosophy Supplement 26:137-60.
  11.  16
    Bruce Tesar and Paul Smolensky, Learnability in Optimality Theory. [REVIEW]Bruce Tesar & Paul Smolensky - 2002 - Linguistics and Philosophy 25 (1):65-80.
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  12. Cognitive Biases, Linguistic Universals, and Constraint‐Based Grammar Learning.Jennifer Culbertson, Paul Smolensky & Colin Wilson - 2013 - Topics in Cognitive Science 5 (3):392-424.
    According to classical arguments, language learning is both facilitated and constrained by cognitive biases. These biases are reflected in linguistic typology—the distribution of linguistic patterns across the world's languages—and can be probed with artificial grammar experiments on child and adult learners. Beginning with a widely successful approach to typology (Optimality Theory), and adapting techniques from computational approaches to statistical learning, we develop a Bayesian model of cognitive biases and show that it accounts for the detailed pattern of results of artificial (...)
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  13.  19
    Putting together connectionism – again.Paul Smolensky - 1988 - Behavioral and Brain Sciences 11 (1):59-74.
    A set of hypotheses is formulated for a connectionist approach to cognitive modeling. These hypotheses are shown to be incompatible with the hypotheses underlying traditional cognitive models. The connectionist models considered are massively parallel numerical computational systems that are a kind of continuous dynamical system. The numerical variables in the system correspond semantically to fine-grained features below the level of the concepts consciously used to describe the task domain. The level of analysis is intermediate between those of symbolic cognitive models (...)
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  14. Connectionist, symbolic, and the brain.Paul Smolensky - 1987 - AI Review 1:95-109.
  15. On the projectable predicates of connectionist psychology: A case for belief.Paul Smolensky - 1995 - In C. Macdonald & Graham F. Macdonald (eds.), Connectionism: Debates on Psychological Explanation. Blackwell.
  16.  55
    A Bayesian Model of Biases in Artificial Language Learning: The Case of a Word‐Order Universal.Jennifer Culbertson & Paul Smolensky - 2012 - Cognitive Science 36 (8):1468-1498.
    In this article, we develop a hierarchical Bayesian model of learning in a general type of artificial language‐learning experiment in which learners are exposed to a mixture of grammars representing the variation present in real learners’ input, particularly at times of language change. The modeling goal is to formalize and quantify hypothesized learning biases. The test case is an experiment (Culbertson, Smolensky, & Legendre, 2012) targeting the learning of word‐order patterns in the nominal domain. The model identifies internal biases (...)
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  17.  36
    Harmony in Linguistic Cognition.Paul Smolensky - 2006 - Cognitive Science 30 (5):779-801.
    In this article, I survey the integrated connectionist/symbolic (ICS) cognitive architecture in which higher cognition must be formally characterized on two levels of description. At the microlevel, parallel distributed processing (PDP) characterizes mental processing; this PDP system has special organization in virtue of which it can be characterized at the macrolevel as a kind of symbolic computational system. The symbolic system inherits certain properties from its PDP substrate; the symbolic functions computed constitute optimization of a well-formedness measure called Harmony. The (...)
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  18. Universals in cognitive theories of language.Paul Smolensky, Emmanuel Dupoux, Nicholas Evans & Stephen C. Levinson - 2009 - Behavioral and Brain Sciences 32 (5):468.
    Generative linguistics' search for linguistic universals (1) is not comparable to the vague explanatory suggestions of the article; (2) clearly merits a more central place than linguistic typology in cognitive science; (3) is fundamentally untouched by the article's empirical arguments; (4) best explains the important facts of linguistic diversity; and (5) illuminates the dominant component of language's nature: biology.
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  19.  14
    Subsymbolic computation theory for the human intuitive processor.Paul Smolensky - 2012 - In S. Barry Cooper (ed.), How the World Computes. pp. 675--685.
  20.  40
    Connectionism and implementation.Paul Smolensky - 1987 - Behavioral and Brain Sciences 10 (3):492-493.
  21.  29
    In defense of PTC.Paul Smolensky - 1990 - Behavioral and Brain Sciences 13 (2):407-412.
  22.  9
    Introduction to the 2006 Rumelhart Prize Special Issue Honoring Roger Shepard.Paul Smolensky - 2008 - Cognitive Science 32 (1):1-2.
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  23. Optimization in neural networks and in Universal Grammar.Paul Smolensky - unknown
     
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  24.  43
    Kinship terminology: polysemy or categorization?Lotte Hogeweg, Géraldine Legendre & Paul Smolensky - 2010 - Behavioral and Brain Sciences 33 (5):386-387.
    The target article offers an analysis of the categorization of kin types and empirical evidence that cross-cultural universals may be amenable to OT explanation. Since the analysis concerns the structuring of conceptual categories rather than the use of words, it differs from previous OT analyses in lexical semantics in what is considered to be the input and output of optimization.
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  25.  47
    On the Asymmetrical Difficulty of Acquiring Person Reference in French: Production Versus Comprehension. [REVIEW]Géraldine Legendre & Paul Smolensky - 2012 - Journal of Logic, Language and Information 21 (1):7-30.
    Young French children freely produce subject pronouns by the age of 2. However, by age 2 and a half they fail to interpret 3rd person pronouns in an experimental setting designed to select a referent among three participants (speaker, hearer, and other). No such problems are found with 1st and 2nd person pronouns. We formalize our analysis of these empirical results in terms of direction-sensitive optimizations, showing that uni-directionality of optimization, when combined with non-adult-like constraint rankings, explains the general acquisition (...)
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  26.  13
    PIPS: A Parallel Planning Model of Sentence Production.Laurel Brehm, Pyeong Whan Cho, Paul Smolensky & Matthew A. Goldrick - 2022 - Cognitive Science 46 (2):e13079.
    Cognitive Science, Volume 46, Issue 2, February 2022.
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  27.  48
    The Rumelhart Prize at 10.William Bechtel, Marlene Behrmann, Nick Chater, Robert J. Glushko, Robert L. Goldstone & Paul Smolensky - 2010 - Cognitive Science 34 (5):713-715.
  28.  15
    Smolensky's theory of mind.Paul F. M. J. Verschure - 1990 - Behavioral and Brain Sciences 13 (2):407-407.
  29.  33
    Analogy as optimization: “Exceptions” to Sievers' law in gothic.Paul Kiparsky - manuscript
    Case (a) has been familiar for a long time, and is supported by a fair amount of historical evidence (Kiparsky 1968, 1973). It was adopted by NGG (Vennemann 1972, Hooper 1976) and by Natural Phonology (Stampe 1972/1980). Prince & Smolensky 1993 dub it lexicon optimization, and show that it is a consequence of basic assumptions of OT.
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  30.  65
    Bruce tesar and Paul Smolensky, learnability in optimality theory.Reinhard Blutner - 2002 - Linguistics and Philosophy 25 (1):65-80.
  31.  52
    Paul Smolensky, géraldine legendre: The harmonic mind. From neural computation to optimality-theoretic grammar. Vol. 1: Cognitive architecture. Vol. 2: Linguistic and philosophical implications. [REVIEW]Harald Maurer - 2009 - Journal for General Philosophy of Science / Zeitschrift für Allgemeine Wissenschaftstheorie 40 (1):141-147.
  32.  2
    Paul Smolensky, Géraldine Legendre: The Harmonic Mind. From Neural Computation to Optimality-Theoretic Grammar. Vol. 1: Cognitive Architecture. Vol. 2: Linguistic and Philosophical Implications: A Bradford Book, The MIT Press, Cambridge, MA and London, 2006, pp. 563 (Vol.1), 611 (Vol.2), ISBN 0-262-19528-3, 70,99 €. [REVIEW]Harald Maurer - 2009 - Journal for General Philosophy of Science / Zeitschrift für Allgemeine Wissenschaftstheorie 40 (1):141-147.
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  33. The Lived Realities of Chemical Restraint: Prioritizing Patient Experience.Ryan Dougherty, Joanna Smolenski & Jared N. Smith - 2024 - American Journal of Bioethics Neuroscience 15 (1):29-31.
    In The Conditions for Ethical Chemical Restraint, Crutchfield and Redinger (2024) propose ethical standards for the use of chemical restraints, which they consider normatively distinct from physica...
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  34. Functionalism at Forty: A Critical Retrospective.Paul M. Churchland - 2005 - Journal of Philosophy 102 (1):33 - 50.
  35. Dispositional versus epistemic causality.Paul Bohan Broderick, Johannes Lenhard & Arnold Silverberg - 2006 - Minds and Machines 16 (3).
    Noam Chomsky and Frances Egan argue that David Marr’s computational theory of vision is not intentional, claiming that the formal scientific theory does not include description of visual content. They also argue that the theory is internalist in the sense of not describing things physically external to the perceiver. They argue that these claims hold for computational theories of vision in general. Beyond theories of vision, they argue that representational content does not figure as a topic within formal computational theories (...)
     
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  36.  32
    The courage to be.Paul Tillich - 1962 - New Haven: Yale University Press. Edited by Peter J. Gomes.
    This edition includes a new introduction by Peter J. Gomes that reflects on the impact of this book in the years since it was written.
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  37. The Moralizing Effect: self-directed emotions and their impact on culpability attributions.Elisabetta Sirgiovanni, Joanna Smolenski, Ben Abelson & Taylor Webb - 2023 - Frontiers in Integrative Neuroscience 17 (Emotions in Neuroscience: Fundam):1-12.
    Introduction: A general trend in the psychological literature suggests that guilt contributes to morality more than shame does. Unlike shame-prone individuals, guilt-prone individuals internalize the causality of negative events, attribute responsibility in the first person, and engage in responsible behavior. However, it is not known how guilt- and shame-proneness interact with the attribution of responsibility to others. -/- Methods: In two Web-based experiments, participants reported their attributions of moral culpability (i.e., responsibility, causality, punishment and decision-making) about morally ambiguous acts of (...)
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  38.  67
    Informed Consent: Foundations and Applications.Joanna Smolenski - 2021 - Dissertation, Cuny Graduate Center
    Since its advent in the 20th century, informed consent has become a cornerstone of ethical healthcare, and obtaining it a core obligation in medical contexts. In my dissertation, I aim to examine the theoretical underpinnings of informed consent and identify what values it is taken to protect. I will suggest that the fundamental motivation behind informed consent rests in something I’ll call bodily self-sovereignty, which I argue involves a coupling of two groups of values: autonomy and non-domination on the one (...)
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  39.  97
    CRISPR/Cas9 and Germline Modification: New Difficulties in Obtaining Informed Consent.Joanna Smolenski - 2015 - American Journal of Bioethics 15 (12):35-37.
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  40.  6
    Robert Kilwardby's science of logic: a thirteenth-century intensional logic.Paul Thom - 2019 - Boston: Brill.
    Paul Thom's book presents Kilwardby's science of logic as a body of demonstrative knowledge about inferences and their validity, about the semantics of non-modal and modal propositions, and about the logic of genus and species. This science is thoroughly intensional. It grounds the logic of inference on "that in virtue of which" the inference holds. It bases the truth conditions of propositions on relations between conceptual entities. It explains the logic of genus and species through the notion of essence. (...)
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  41.  90
    Blind rule-following.Paul A. Boghossian - 2012 - In Annalisa Coliva (ed.), Mind, meaning, and knowledge: themes from the philosophy of Crispin Wright. Oxford: Oxford University Press. pp. 27-48.
    In this chapter a new problem about rule-following is outlined, one that is distinct both from Kripke’s and Wright’s versions of the problem. This new problem cannot be correctly responsed to, as Kripke’s can, by invoking Wright’s Intentional Account of rule-following. The upshot might be called, following Kant, an antinomy of pure reason: we both must — and cannot — make sense of someone’s following a rule. The chapter explores various ways out of this antinomy without here endorsing any of (...)
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  42. Marx bevrijd: natuur en vervreemding in de 21ste eeuw.Paul Cobben - 2022 - Amsterdam: Boom.
    De milieuproblematiek staat pas sinds kort op de agenda als een fenomeen dat de mensheid bedreigt. Toch blijkt het negentiende-eeuwse gedachtegoed van Karl Marx verrassende inzichten te bieden om deze actuele problemen te duiden. Marx laat zien dat het menselijk ingrijpen in de natuur leidt tot zelfvervreemding: de mens ondermijnt zijn bestaan als een wezen dat zelf deel uitmaakt van de natuur. Deze zelfvervreemding cumuleert in de kapitalistische samenleving. Marx lezend zien we dat de milieuproblematiek geen historische vergissing is, maar (...)
     
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  43. Involuntary Withdrawal: A Bridge Too Far?Joanna Smolenski - 2023 - Clinical Ethics Case Studies, Hastings Bioethics Forum.
    RD, a 32-year-old male, was admitted to the hospital with hypoxic COVID pneumonia–a potentially life-threatening condition characterized by dangerously low levels of oxygen in the body- during one of the pandemic’s surges. While RD’s age gave the clinical team hope for his prognosis, his ability to recover was complicated by his being unvaccinated and having multiple comorbidities, including diabetes and obesity. His condition worsened to the point that he required extracorporeal membrane oxygenation (ECMO), a machine that maintains the functioning of (...)
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  44.  14
    Philosophy in the Renaissance: an anthology.Paul Richard Blum & James G. Snyder (eds.) - 2022 - Washington, D.C.: The Catholic University of America Press.
    The Renaissance was a period of great intellectual change and innovation as philosophers rediscovered the philosophy of classical antiquity and passed it on to the modern age. Renaissance philosophy is distinct both from the medieval scholasticism, based on revelation and authority, and from philosophers of the seventeenth and eighteenth centuries who transformed it into new philosophical systems. Despite the importance of the Renaissance to the development of philosophy over time, it has remained largely understudied by historians of philosophy and professional (...)
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  45.  73
    Faith with reason.Paul Helm - 2000 - New York: Oxford University Press.
    Paul Helm investigates what religious faith is and what makes it reasonable.
  46.  64
    Logic.Paul Tomassi - 1999 - New York: Routledge.
    Logic brings elementary logic out of the academic darkness into the light of day. Paul Tomassi makes logic fully accessible for anyone trying to come to grips with the complexities of this challenging subject. This book is written in a patient and user-friendly way which makes both the nature and value of formal logic crystal clear. This textbook proceeds from a frank, informal introduction to fundamental logical notions to a system of formal logic rooted in the best of our (...)
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  47.  98
    Plan B.Sarah K. Paul - 2022 - Australasian Journal of Philosophy 100 (3):550-564.
    We sometimes strive to achieve difficult goals when our evidence suggests that success is unlikely – not just because it will require strength of will, but because we are targets of prejudice and discrimination or because success will require unusual ability. Optimism about one’s prospects can be useful for persevering in these cases. That said, excessive optimism can be dangerous; when our evidence is unfavourable, we should be at most agnostic about whether we will succeed. This paper explores the nature (...)
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  48.  75
    Principles of Collective Choice and Constraints of Fairness: Why the Difference Principle Would Be Chosen behind the Veil of Ignorance.Alexander Motchoulski & Phil Smolenski - 2019 - Journal of Philosophy 116 (12):678-690.
    In “The Difference Principle Would Not Be Chosen behind the Veil of Ignorance,” Johan E. Gustafsson argues that the parties in the Original Position would not choose the Difference Principle to regulate their society’s basic structure. In reply to this internal critique, we provide two arguments. First, his choice models do not serve as a counterexample to the choice of the difference principle, as the models must assume that individual rationality scales to collective contexts in a way that begs the (...)
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  49. Political ecology: a critical introduction.Paul Robbins - 2004 - Malden, MA: Blackwell.
    The hatchet and the seed -- A tree with deep roots -- The critical tools -- A field crystallizes -- Destruction of nature -- Construction of nature -- Degradation and marginalization -- Conservation and control -- Environmental conflict -- Environmental identity and social movement -- Where to now?
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  50. Computation in Physical Systems: A Normative Mapping Account.Paul Schweizer - 2019 - In Matteo Vincenzo D'Alfonso & Don Berkich (eds.), On the Cognitive, Ethical, and Scientific Dimensions of Artificial Intelligence. Springer Verlag. pp. 27-47.
    The relationship between abstract formal procedures and the activities of actual physical systems has proved to be surprisingly subtle and controversial, and there are a number of competing accounts of when a physical system can be properly said to implement a mathematical formalism and hence perform a computation. I defend an account wherein computational descriptions of physical systems are high-level normative interpretations motivated by our pragmatic concerns. Furthermore, the criteria of utility and success vary according to our diverse purposes and (...)
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