6 found
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  1. A Computational Cognitive Model of Syntactic Priming.David Reitter, Frank Keller & Johanna D. Moore - 2011 - Cognitive Science 35 (4):587-637.
    The psycholinguistic literature has identified two syntactic adaptation effects in language production: rapidly decaying short-term priming and long-lasting adaptation. To explain both effects, we present an ACT-R model of syntactic priming based on a wide-coverage, lexicalized syntactic theory that explains priming as facilitation of lexical access. In this model, two well-established ACT-R mechanisms, base-level learning and spreading activation, account for long-term adaptation and short-term priming, respectively. Our model simulates incremental language production and in a series of modeling studies, we show (...)
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  2.  22
    Information density converges in dialogue: Towards an information-theoretic model.Yang Xu & David Reitter - 2018 - Cognition 170 (C):147-163.
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  3.  22
    Holographic Declarative Memory: Distributional Semantics as the Architecture of Memory.M. A. Kelly, Nipun Arora, Robert L. West & David Reitter - 2020 - Cognitive Science 44 (11):e12904.
    We demonstrate that the key components of cognitive architectures (declarative and procedural memory) and their key capabilities (learning, memory retrieval, probability judgment, and utility estimation) can be implemented as algebraic operations on vectors and tensors in a high‐dimensional space using a distributional semantics model. High‐dimensional vector spaces underlie the success of modern machine learning techniques based on deep learning. However, while neural networks have an impressive ability to process data to find patterns, they do not typically model high‐level cognition, and (...)
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  4.  26
    Integrated, Not Isolated: Defining Typological Proximity in an Integrated Multilingual Architecture.Michael T. Putnam, Matthew Carlson & David Reitter - 2018 - Frontiers in Psychology 8.
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    Introduction to the Issue on Computational Models of Natural Language.John Hale & David Reitter - 2013 - Topics in Cognitive Science 5 (3):388-391.
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    Introduction to the Issue on Computational Models of Memory: Selected Papers From the International Conference on Cognitive Modeling.David Reitter & Frank E. Ritter - 2017 - Topics in Cognitive Science 9 (1):48-50.
    Computational models of memory presented in this issue reflect varied empirical data and levels of representation. From mathematical models to neural and cognitive architectures, all aim to converge on a unified theory of the mind.
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