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  1. Five Ways in Which Computational Modeling Can Help Advance Cognitive Science: Lessons From Artificial Grammar Learning.Willem Zuidema, Robert M. French, Raquel G. Alhama, Kevin Ellis, Timothy J. O'Donnell, Tim Sainburg & Timothy Q. Gentner - 2020 - Topics in Cognitive Science 12 (3):925-941.
    Zuidema et al. illustrate how empirical AGL studies can benefit from computational models and techniques. Computational models can help clarifying theories, and thus in delineating research questions, but also in facilitating experimental design, stimulus generation, and data analysis. The authors show, with a series of examples, how computational modeling can be integrated with empirical AGL approaches, and how model selection techniques can indicate the most likely model to explain experimental outcomes.
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  • No Evidence That Abstract Structure Learning Disrupts Novel-Event Learning in 8- to 11-Month-Olds.Rachel Wu, Ting Qian & Richard N. Aslin - 2019 - Frontiers in Psychology 10.
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  • Rational Learners and Moral Rules.Shaun Nichols, Shikhar Kumar, Theresa Lopez, Alisabeth Ayars & Hoi-Yee Chan - 2016 - Mind and Language 31 (5):530-554.
    People draw subtle distinctions in the normative domain. But it remains unclear exactly what gives rise to such distinctions. On one prominent approach, emotion systems trigger non-utilitarian judgments. The main alternative, inspired by Chomskyan linguistics, suggests that moral distinctions derive from an innate moral grammar. In this article, we draw on Bayesian learning theory to develop a rational learning account. We argue that the ‘size principle’, which is implicated in word learning, can also explain how children would use scant and (...)
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  • Indeterministic intuitions and the Spinozan strategy.Andrew Kissel - 2018 - Mind and Language 33 (3):280-298.
    This article focuses on philosophical views that attempt to explain widespread belief in indeterministic choice by following a strategy that harkens back at least to Spinoza. According to this Spinozan strategy, people draw an inference from the absence of experiences of determined choice to the belief in indeterministic choice. Accounts of this kind are historically liable to overgeneralization. The pair of accounts defended in Shaun Nichols’ recent book, Bound: Essays on Free Will and Responsibility, are the most complete and empirically (...)
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  • Infants generalize from just (the right) four words.LouAnn Gerken & Sara Knight - 2015 - Cognition 143 (C):187-192.
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  • Analogy and Abstraction.Dedre Gentner & Christian Hoyos - 2017 - Topics in Cognitive Science 9 (3):672-693.
    A central question in human development is how young children gain knowledge so fast. We propose that analogical generalization drives much of this early learning and allows children to generate new abstractions from experience. In this paper, we review evidence for analogical generalization in both children and adults. We discuss how analogical processes interact with the child's changing knowledge base to predict the course of learning, from conservative to domain-general understanding. This line of research leads to challenges to existing assumptions (...)
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  • Simultaneous segmentation and generalisation of non-adjacent dependencies from continuous speech.Rebecca L. A. Frost & Padraic Monaghan - 2016 - Cognition 147 (C):70-74.
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  • Throwing out the Bayesian baby with the optimal bathwater: Response to Endress.Michael C. Frank - 2013 - Cognition 128 (3):417-423.
  • Three ideal observer models for rule learning in simple languages.Michael C. Frank & Joshua B. Tenenbaum - 2011 - Cognition 120 (3):360-371.
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  • The Developmental Origins of Syntactic Bootstrapping.Cynthia Fisher, Kyong-sun Jin & Rose M. Scott - 2020 - Topics in Cognitive Science 12 (1):48-77.
    Fisher, Jin, and Scott push a central assumption of syntactic bootstrapping: that learners have a universal bias to map each noun in a sentence onto a participant role (i.e., argument of the verb). They propose two enrichments: First, that children use both semantic and syntactic information in representing nouns that accompany a verb; second, that children expect continuity across a discourse. They provide evidence for both learning mechanisms among young children, further spelling out the precise mechanisms underlying syntactic bootstrapping.
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  • Experience with morphosyntactic paradigms allows toddlers to tacitly anticipate overregularized verb forms months before they produce them.Megan Figueroa & LouAnn Gerken - 2019 - Cognition 191 (C):103977.
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  • Statistical learning and memory.Ansgar D. Endress, Lauren K. Slone & Scott P. Johnson - 2020 - Cognition 204 (C):104346.
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  • How are Bayesian models really used? Reply to Frank.Ansgar D. Endress - 2014 - Cognition 130 (1):81-84.
  • Bayesian learning and the psychology of rule induction.Ansgar D. Endress - 2013 - Cognition 127 (2):159-176.
  • When global structure “Explains Away” local grammar: A Bayesian account of rule-induction in tone sequences.Colin Dawson & LouAnn Gerken - 2011 - Cognition 120 (3):350-359.
  • Comparison within pairs promotes analogical abstraction in three-month-olds.Erin M. Anderson, Yin-Juei Chang, Susan Hespos & Dedre Gentner - 2018 - Cognition 176 (C):74-86.
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