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  1. Conceptual Clarity and Empirical Testability: Commentary on Knauff and Gazzo Castañeda.Nicole Cruz - forthcoming - Thinking and Reasoning:1-13.
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  • Quasiregularity and Its Discontents: The Legacy of the Past Tense Debate.Mark S. Seidenberg & David C. Plaut - 2014 - Cognitive Science 38 (6):1190-1228.
    Rumelhart and McClelland's chapter about learning the past tense created a degree of controversy extraordinary even in the adversarial culture of modern science. It also stimulated a vast amount of research that advanced the understanding of the past tense, inflectional morphology in English and other languages, the nature of linguistic representations, relations between language and other phenomena such as reading and object recognition, the properties of artificial neural networks, and other topics. We examine the impact of the Rumelhart and McClelland (...)
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  • Interacting Timescales in Perspective-Taking.Rick Dale, Alexia Galati, Camila Alviar, Pablo Contreras Kallens, Adolfo G. Ramirez-Aristizabal, Maryam Tabatabaeian & David W. Vinson - 2018 - Frontiers in Psychology 9.
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  • Children’s Referent Selection and Word Learning.Katherine E. Twomey, Anthony F. Morse, Angelo Cangelosi & Jessica S. Horst - forthcoming - Interaction Studies. Social Behaviour and Communication in Biological and Artificial Systemsinteraction Studies / Social Behaviour and Communication in Biological and Artificial Systemsinteraction Studies:101-127.
    It is well-established that toddlers can correctly select a novel referent from an ambiguous array in response to a novel label. There is also a growing consensus that robust word learning requires repeated label-object encounters. However, the effect of the context in which a novel object is encountered is less well-understood. We present two embodied neural network replications of recent empirical tasks, which demonstrated that the context in which a target object is encountered is fundamental to referent selection and word (...)
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  • Computational Exploration of Metaphor Comprehension Processes Using a Semantic Space Model.Akira Utsumi - 2011 - Cognitive Science 35 (2):251-296.
    Recent metaphor research has revealed that metaphor comprehension involves both categorization and comparison processes. This finding has triggered the following central question: Which property determines the choice between these two processes for metaphor comprehension? Three competing views have been proposed to answer this question: the conventionality view (Bowdle & Gentner, 2005), aptness view (Glucksberg & Haught, 2006b), and interpretive diversity view (Utsumi, 2007); these views, respectively, argue that vehicle conventionality, metaphor aptness, and interpretive diversity determine the choice between the categorization (...)
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  • A Computational and Empirical Investigation of Graphemes in Reading.Conrad Perry, Johannes C. Ziegler & Marco Zorzi - 2013 - Cognitive Science 37 (5):800-828.
    It is often assumed that graphemes are a crucial level of orthographic representation above letters. Current connectionist models of reading, however, do not address how the mapping from letters to graphemes is learned. One major challenge for computational modeling is therefore developing a model that learns this mapping and can assign the graphemes to linguistically meaningful categories such as the onset, vowel, and coda of a syllable. Here, we present a model that learns to do this in English for strings (...)
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  • A Model of Knower‐Level Behavior in Number Concept Development.Michael D. Lee & Barbara W. Sarnecka - 2010 - Cognitive Science 34 (1):51-67.
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  • Cognition‐Enhanced Machine Learning for Better Predictions with Limited Data.Florian Sense, Ryan Wood, Michael G. Collins, Joshua Fiechter, Aihua Wood, Michael Krusmark, Tiffany Jastrzembski & Christopher W. Myers - forthcoming - Topics in Cognitive Science.
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  • Cognition‐Enhanced Machine Learning for Better Predictions with Limited Data.Florian Sense, Ryan Wood, Michael G. Collins, Joshua Fiechter, Aihua Wood, Michael Krusmark, Tiffany Jastrzembski & Christopher W. Myers - forthcoming - Topics in Cognitive Science.
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  • Computational Modeling in Cognitive Science: A Manifesto for Change.Caspar Addyman & Robert M. French - 2012 - Topics in Cognitive Science 4 (3):332-341.
    Computational modeling has long been one of the traditional pillars of cognitive science. Unfortunately, the computer models of cognition being developed today have not kept up with the enormous changes that have taken place in computer technology and, especially, in human-computer interfaces. For all intents and purposes, modeling is still done today as it was 25, or even 35, years ago. Everyone still programs in his or her own favorite programming language, source code is rarely made available, accessibility of models (...)
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  • From Implausible Artificial Neurons to Idealized Cognitive Models: Rebooting Philosophy of Artificial Intelligence.Catherine Stinson - 2020 - Philosophy of Science 87 (4):590-611.
    There is a vast literature within philosophy of mind that focuses on artificial intelligence, but hardly mentions methodological questions. There is also a growing body of work in philosophy of science about modeling methodology that hardly mentions examples from cognitive science. Here these discussions are connected. Insights developed in the philosophy of science literature about the importance of idealization provide a way of understanding the neural implausibility of connectionist networks. Insights from neurocognitive science illuminate how relevant similarities between models and (...)
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  • Toward Integrative Dynamic Models for Adaptive Perspective Taking.Nicholas Duran, Rick Dale & Alexia Galati - 2016 - Topics in Cognitive Science 8 (4):761-779.
    In a matter of mere milliseconds, conversational partners can transform their expectations about the world in a way that accords with another person's perspective. At the same time, in similar situations, the exact opposite also appears to be true. Rather than being at odds, these findings suggest that there are multiple contextual and processing constraints that may guide when and how people consider perspective. These constraints are shaped by a host of factors, including the availability of social and environmental cues, (...)
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  • The Concrete Universal and Cognitive Science.Richard Shillcock - 2014 - Axiomathes 24 (1):63-80.
    Cognitive science depends on abstractions made from the complex reality of human behaviour. Cognitive scientists typically wish the abstractions in their theories to be universals, but seldom attend to the ontology of universals. Two sorts of universal, resulting from Galilean abstraction and materialist abstraction respectively, are available in the philosophical literature: the abstract universal—the one-over-many universal—is the universal conventionally employed by cognitive scientists; in contrast, a concrete universal is a material entity that can appear within the set of entities it (...)
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  • Two Kinds of Explanatory Integration in Cognitive Science.Samuel D. Taylor - 2019 - Synthese 198 (5):4573-4601.
    Some philosophers argue that we should eschew cross-explanatory integrations of mechanistic, dynamicist, and psychological explanations in cognitive science, because, unlike integrations of mechanistic explanations, they do not deliver genuine, cognitive scientific explanations. Here I challenge this claim by comparing the theoretical virtues of both kinds of explanatory integrations. I first identify two theoretical virtues of integrations of mechanistic explanations—unification and greater qualitative parsimony—and argue that no cross-explanatory integration could have such virtues. However, I go on to argue that this is (...)
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  • Statistical Learning Model of the Sense of Agency.Shiro Yano, Yoshikatsu Hayashi, Yuki Murata, Hiroshi Imamizu, Takaki Maeda & Toshiyuki Kondo - 2020 - Frontiers in Psychology 11.
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  • Building a Bridge Into the Future: Dynamic Connectionist Modeling as an Integrative Tool for Research on Intertemporal Choice.Stefan Scherbaum, Maja Dshemuchadse & Thomas Goschke - 2012 - Frontiers in Psychology 3.
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  • Double Trouble? The Communication Dimension of the Reproducibility Crisis in Experimental Psychology and Neuroscience.Witold M. Hensel - 2020 - European Journal for Philosophy of Science 10 (3):1-22.
    Most discussions of the reproducibility crisis focus on its epistemic aspect: the fact that the scientific community fails to follow some norms of scientific investigation, which leads to high rates of irreproducibility via a high rate of false positive findings. The purpose of this paper is to argue that there is a heretofore underappreciated and understudied dimension to the reproducibility crisis in experimental psychology and neuroscience that may prove to be at least as important as the epistemic dimension. This is (...)
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  • Simulating the N400 ERP Component as Semantic Network Error: Insights From a Feature-Based Connectionist Attractor Model of Word Meaning.Milena Rabovsky & Ken McRae - 2014 - Cognition 132 (1):68-89.
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  • Children's Referent Selection and Word Learning.Katherine E. Twomey, Anthony F. Morse, Angelo Cangelosi & Jessica S. Horst - 2016 - Interaction Studies: Social Behaviour and Communication in Biological and Artificial Systems 17 (1):101-127.
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  • Prediction Error During Functional and Non-Functional Action Sequences: A Computational Exploration of Ritual and Ritualized Event Processing.Kristoffer L. Nielbo & Jesper Sørensen - 2013 - Journal of Cognition and Culture 13 (3-4):347-365.
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  • Systems, Models and Self-Awareness: Towards Architectural Models of Consciousness.Ricardo Sanz, Carlos Hernández, Jaime Gómez, Julita Bermejo-Alonso, Manuel Rodríguez, Adolfo Hernando & Guadalupe Sánchez - 2009 - International Journal of Machine Consciousness 1 (2):255-279.
  • Is There Anything or Nothing? On the Proper Stance for Consciousness Analysis.Ricardo Sanz - 2010 - International Journal of Machine Consciousness 2 (1):59-63.