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  1. Making a middling mousetrap.Michael R. W. Dawson & Istvan Berkeley - 1993 - Behavioral and Brain Sciences 16 (3):454-455.
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  • From symbols to neurons: Are we there yet?Garrison W. Cottrell - 1993 - Behavioral and Brain Sciences 16 (3):454-454.
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  • Could static binding suffice?Paul R. Cooper - 1993 - Behavioral and Brain Sciences 16 (3):453-454.
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  • Plausible inference and implicit representation.Malcolm I. Bauer - 1993 - Behavioral and Brain Sciences 16 (3):452-453.
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  • 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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  • Reasoning About a Semantic Memory Encoding of the Connectivity of Events.Richard Alterman & Lawrence A. Bookman - 1992 - Cognitive Science 16 (2):205-232.
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  • Pragmatic Action.Richard Alterman, Roland Zito-Wolf & Tamitha Carpenter - 1998 - Cognitive Science 22 (1):53-105.
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  • Synchronization and cognitive carpentry: From systematic structuring to simple reasoning. E. Koerner - 1993 - Behavioral and Brain Sciences 16 (3):465-466.
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  • Ethereal oscillations.Malcolm P. Young - 1993 - Behavioral and Brain Sciences 16 (3):476-477.
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  • 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.
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  • Temporal synchrony and the speed of visual processing.Simon J. Thorpe - 1993 - Behavioral and Brain Sciences 16 (3):473-474.
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  • Phase logic is biologically relevant logic.Gary W. Strong - 1993 - Behavioral and Brain Sciences 16 (3):472-473.
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  • Do simple associations lead to systematic reasoning?Steven Sloman - 1993 - Behavioral and Brain Sciences 16 (3):471-472.
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  • 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.
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  • Making reasoning more reasonable: Event-coherence and assemblies.Günther Palm - 1993 - Behavioral and Brain Sciences 16 (3):470-470.
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  • Psychological implications of the synchronicity hypothesis.Stellan Ohlsson - 1993 - Behavioral and Brain Sciences 16 (3):469-469.
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  • Computational and biological constraints in the psychology of reasoning.Mike Oaksford & Mike Malloch - 1993 - Behavioral and Brain Sciences 16 (3):468-469.
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  • What we know and the LTKB.Stanley Munsat - 1993 - Behavioral and Brain Sciences 16 (3):466-467.
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  • Understanding metonymies in discourse.Katja Markert & Udo Hahn - 2002 - Artificial Intelligence 135 (1-2):145-198.
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  • Reflections on reflexive reasoning.David L. Martin - 1993 - Behavioral and Brain Sciences 16 (3):466-466.
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  • Computer Understanding of Conventional Metaphoric Language.James H. Martin - 1992 - Cognitive Science 16 (2):233-270.
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  • Routine Computing Tasks: Planning as Understanding.Suzanne M. Mannes & Walter Kintsch - 1991 - Cognitive Science 15 (3):305-342.
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  • Planning routine computing tasks: Understanding what to do.Suzanne M. Mannes & Walter Kintsch - 1991 - Cognitive Science 15 (3):305-342.
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  • Distributing structure over time.John E. Hummel & Keith J. Holyoak - 1993 - Behavioral and Brain Sciences 16 (3):464-464.
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  • On the artificial intelligence paradox.Steffen Hölldobler - 1993 - Behavioral and Brain Sciences 16 (3):463-464.
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  • Not all reflexive reasoning is deductive.Graeme Hirst & Dekai Wu - 1993 - Behavioral and Brain Sciences 16 (3):462-463.
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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.
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  • 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.
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  • Self-organizing neural models of categorization, inference and synchrony.Stephen Grossberg - 1993 - Behavioral and Brain Sciences 16 (3):460-461.
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  • Must we solve the binding problem in neural hardware?James W. Garson - 1993 - Behavioral and Brain Sciences 16 (3):459-460.
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  • Deconstruction of neural data yields biologically implausible periodic oscillations.Walter J. Freeman - 1993 - Behavioral and Brain Sciences 16 (3):458-459.
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  • Toward a unified behavioral and brain science.Jerome A. Feldman - 1993 - Behavioral and Brain Sciences 16 (3):458-458.
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  • 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.
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  • Connectionism and syntactic binding of concepts.Georg Dorffner - 1993 - Behavioral and Brain Sciences 16 (3):456-457.
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  • Reasoning, learning and neuropsychological plausibility.Joachim Diederich - 1993 - Behavioral and Brain Sciences 16 (3):455-456.
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  • Large neural networks for the resolution of lexical ambiguity.Jean Véronis & Nancy Ide - 1995 - In Patrick Saint-Dizier & Evelyne Viegas (eds.), Computational Lexical Semantics. Cambridge University Press. pp. 251--269.
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  • Local holism.Carlo Penco - 2001 - In P. Bouquet (ed.), Lecture Notes in Artificial Intelligence. Kluwer Academic Publishers. pp. 290--303.
    This paper is devoted to discuss a general tendency in contextualism which is known as "radical contextualism". In the first part I state the well known paradox of semantic holism, as discussed in philosophy of language: if meaning is holistic there is no possibility to share any meaning. In the second part I present the different answers to this paradox, from atomism to different forms of holism. In the third part I give a criticism of the traditional interpretation of Wittgenstein (...)
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  • Wittgenstein, locality and rules.Carlo Penco - 2004 - In Annalisa Coliva & Eva Picardi (eds.), Wittgenstein Today. Il Poligrafo. pp. 249--74.
    This paper tries to give some substance to local holism, a picture that seems to fit Wittgenstein’s analysis of the working of language. In the first part I state the well-known paradox of semantic holism, as discussed in philosophy of language: if meaning is holistic there is no possibility to share any meaning. In the second part I present the different answers to this paradox, from atomism to different forms of holism. In the third part I give a criticism of (...)
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