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  1. Choices, Values, and Frames.Daniel Kahneman & Amos Tversky (eds.) - 2000 - Cambridge University Press.
    This book presents the definitive exposition of 'prospect theory', a compelling alternative to the classical utility theory of choice. Building on the 1982 volume, Judgement Under Uncertainty, this book brings together seminal papers on prospect theory from economists, decision theorists, and psychologists, including the work of the late Amos Tversky, whose contributions are collected here for the first time. While remaining within a rational choice framework, prospect theory delivers more accurate, empirically verified predictions in key test cases, as well as (...)
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  • Verbal Behavior.Burrhus Frederic Skinner - 1957 - Appleton-Century-Crofts.
    Covert behavior may also be strong behavior which cannot be overtly emitted because the proper circumstances are lacking. When we are strongly inclined to go skiing, although there is no snow, we say I would like to go skiing. It is not very  ...
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  • Review of V erbal Behavior. [REVIEW]Noam Chomsky - 1959 - Language 35 (1):26--58.
    I had intended this review not specifically as a criticism of Skinner's speculations regarding language, but rather as a more general critique of behaviorist (I would now prefer to say "empiricist") speculation as to the nature of higher mental processes. My reason for discussing Skinner's book in such detail was that it was the most careful and thoroughgoing presentation of such speculations, an evaluation that I feel is still accurate. Therefore, if the conclusions I attempted to substantiate in the review (...)
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  • The Invariance Hypothesis: is abstract reason based on image-schemas?George Lakoff - 1990 - Cognitive Linguistics 1 (1):39-74.
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  • Linguistic Self‐Correction in the Absence of Feedback: A New Approach to the Logical Problem of Language Acquisition.Michael Ramscar & Daniel Yarlett - 2007 - Cognitive Science 31 (6):927-960.
    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 children's attempts to imitatively reproduce irregular forms they have heard in the input. As the strength (...)
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  • Granularity and the acquisition of grammatical gender: How order-of-acquisition affects what gets learned.Inbal Arnon & Michael Ramscar - 2012 - Cognition 122 (3):292-305.
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  • Cognitive Linguistics’ seven deadly sins.Ewa Dąbrowska - 2016 - Cognitive Linguistics 27 (4):479-491.
    Name der Zeitschrift: Cognitive Linguistics Jahrgang: 27 Heft: 4 Seiten: 479-491.
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  • (1 other version)Introduction.Arne Zeschel - 2008 - Cognitive Linguistics 19 (3).
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  • An amorphous model for morphological processing in visual comprehension based on naive discriminative learning.R. Harald Baayen, Petar Milin, Dusica Filipović Đurđević, Peter Hendrix & Marco Marelli - 2011 - Psychological Review 118 (3):438-481.
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  • Verbal behavior.Noam Chomsky & B. F. Skinner - 1959 - Language 35 (1):26.
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  • The Effects of Feature-Label-Order and Their Implications for Symbolic Learning.Michael Ramscar, Daniel Yarlett, Melody Dye, Katie Denny & Kirsten Thorpe - 2010 - Cognitive Science 34 (6):909-957.
    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 (...)
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  • .J. L. McClelland & D. E. Rumelhart (eds.) - 1987 - MIT Press.
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  • What corpus-based Cognitive Linguistics can and cannot expect from neurolinguistics.Alice Blumenthal-Dramé - 2016 - Cognitive Linguistics 27 (4):493-505.
    This paper argues that neurolinguistics has the potential to yield insights that can feed back into corpus-based Cognitive Linguistics. It starts by discussing how far the cognitive realism of probabilistic statements derived from corpus data currently goes. Against this background, it argues that the cognitive realism of usage-based models could be further enhanced through deeper engagement with neurolinguistics, but also highlights a number of common misconceptions about what neurolinguistics can and cannot do for linguistic theorizing.
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