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Dive into the research topics where Daniel Yarlett is active.

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Featured researches published by Daniel Yarlett.


Cognitive Science | 2010

The Effects of Feature‐Label‐Order and Their Implications for Symbolic Learning

Michael Ramscar; Daniel Yarlett; Melody Dye; Katie Denny; Kirsten Thorpe

Symbols enable people to organize and communicate about the world. However, the ways in which symbolic knowledge is learned and then represented in the mind are poorly understood. We present a formal analysis of symbolic learning-in particular, word learning-in terms of prediction and cue competition, and we consider two possible ways in which symbols might be learned: by learning to predict a label from the features of objects and events in the world, and by learning to predict features from a label. This analysis predicts significant differences in symbolic learning depending on the sequencing of objects and labels. We report a computational simulation and two human experiments that confirm these differences, revealing the existence of Feature-Label-Ordering effects in learning. Discrimination learning is facilitated when objects predict labels, but not when labels predict objects. Our results and analysis suggest that the semantic categories people use to understand and communicate about the world can only be learned if labels are predicted from objects. We discuss the implications of this for our understanding of the nature of language and symbolic thought, and in particular, for theories of reference.


Cognitive Science | 2007

Linguistic Self-Correction in the Absence of Feedback: A New Approach to the Logical Problem of Language Acquisition

Michael Ramscar; Daniel Yarlett

In a series of studies children show increasing mastery of irregular plural forms (such as mice) simply by producing erroneous over-regularized versions of them (such as mouses). We explain this phenomenon in terms of successive approximation in imitation: Children over-regularize early in acquisition because the representations of frequent, regular plural forms develop more quickly, such that at the earliest stages of production they interfere with childrens attempts to imitatively reproduce irregular forms they have heard in the input. As the strength of the representations that determine childrens productions settle asymptotically, the early advantage for the frequent regular forms is negated, and childrens attempts to imitate the irregular forms they have observed become more likely to succeed (a process that produces the classic U-shape in childrens acquisition of plural inflection). These data show that children can acquire correct linguistic behavior without feedback in a situation where, as a result of philosophical and linguistic analyses, it has often been argued that it is logically impossible for them to do so.


Cognitive Science | 2003

Semantic grounding in models of analogy: an environmental approach

Michael Ramscar; Daniel Yarlett


Proceedings of the Annual Meeting of the Cognitive Science Society | 2000

Structure-Mapping Theory and Lexico-Semantic Information

Daniel Yarlett; Michael Ramscar


Proceedings of the Annual Meeting of the Cognitive Science Society | 2010

The Feature-Label-Order Effect In Symbolic Learning

Michael Ramscar; Daniel Yarlett; Melody Dye; Nal Kalchbrenner


Proceedings of the Annual Meeting of the Cognitive Science Society | 2000

The Use of a High-dimensional, "Environmental" Context Space to Model retrieval in Analogy and Similarity-Based Transfer

Michael Ramscar; Daniel Yarlett


Proceedings of the Annual Meeting of the Cognitive Science Society | 2002

Uncertainty in Causal and Counterfactual Inference

Daniel Yarlett; Michael Ramscar


Proceedings of the Annual Meeting of the Cognitive Science Society | 2001

Structural Determinants of Counterfactual Reasoning

Daniel Yarlett; Michael Ramscar


neural information processing systems | 2001

A Quantitative Model of Counterfactual Reasoning

Daniel Yarlett; Michael Ramscar


Proceedings of the Annual Meeting of the Cognitive Science Society | 2009

The Feature-Label-Order Effect In Symbolic Learning - eScholarship

Melody Dye; Nal Kalchbrenner; Michael Ramscar; Daniel Yarlett

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Dan Ryder

Indiana University Bloomington

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Jesse Prinz

University of North Carolina at Chapel Hill

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Jonathan M. Weinberg

Indiana University Bloomington

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Gergely Csibra

Central European University

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