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  1. Cross‐situational Learning From Ambiguous Egocentric Input Is a Continuous Process: Evidence Using the Human Simulation Paradigm.Yayun Zhang, Daniel Yurovsky & Chen Yu - 2021 - Cognitive Science 45 (7):e13010.
    Recent laboratory experiments have shown that both infant and adult learners can acquire word‐referent mappings using cross‐situational statistics. The vast majority of the work on this topic has used unfamiliar objects presented on neutral backgrounds as the visual contexts for word learning. However, these laboratory contexts are much different than the real‐world contexts in which learning occurs. Thus, the feasibility of generalizing cross‐situational learning beyond the laboratory is in question. Adapting the Human Simulation Paradigm, we conducted a series of experiments (...)
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  • How to trigger elaborate processing? A comment on Kunde, Kiesel, and Hoffmann.Justin N. Wood, Elizabeth S. Spelke, David Barner, Jesse Snedeker, Min Wang, Charles A. Perfetti, Ying Liu, Filip van Opstal, Bert Reynvoet & Tom Verguts - 2005 - Cognition 97 (1):89-97.
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  • Semantic Information and the Syntax of Propositional Attitude Verbs.Aaron S. White, Valentine Hacquard & Jeffrey Lidz - 2018 - Cognitive Science 42 (2):416-456.
    Propositional attitude verbs, such as think and want, have long held interest for both theoretical linguists and language acquisitionists because their syntactic, semantic, and pragmatic properties display complex interactions that have proven difficult to fully capture from either perspective. This paper explores the granularity with which these verbs’ semantic and pragmatic properties are recoverable from their syntactic distributions, using three behavioral experiments aimed at explicitly quantifying the relationship between these two sets of properties. Experiment 1 gathers a measure of 30 (...)
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  • Discourse Coherence as a Cue to Reference in Word Learning: Evidence for Discourse Bootstrapping.Jessica Sullivan, Juliana Boucher, Reina J. Kiefer, Katherine Williams & David Barner - 2019 - Cognitive Science 43 (1):e12702.
    Word learning depends critically on the use of linguistic context to constrain the likely meanings of words. However, the mechanisms by which children infer word meaning from linguistic context are still poorly understood. In this study, we asked whether adults (n = 58) and 2‐ to 6‐year‐old children (n = 180) use discourse coherence relations (i.e., the meaningful relationships between elements within a discourse) to constrain their interpretation of novel words. Specifically, we showed participants videos of novel animals exchanging objects. (...)
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  • What every speaker cognizes.Stephen P. Stich - 1980 - Behavioral and Brain Sciences 3 (1):39-40.
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  • Representation and psychological reality.Elliott Sober - 1980 - Behavioral and Brain Sciences 3 (1):38-39.
    In this brief space I want to describe how Chomsky's analysis of "psychological reality" departs from what I think is a fairly standard construal of the idea. This familiar formulation arises from distinguishing between someone's following a rule and someone's acting in conformity with a rule. The former idea, but not the latter, involves the idea that the person has some mental representation of the rule that plays a certain causal role in determining behavior. Although there may be many grammatical (...)
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  • Cross-Situational Learning: An Experimental Study of Word-Learning Mechanisms.Kenny Smith, Andrew D. M. Smith & Richard A. Blythe - 2011 - Cognitive Science 35 (3):480-498.
    Cross-situational learning is a mechanism for learning the meaning of words across multiple exposures, despite exposure-by-exposure uncertainty as to the word's true meaning. We present experimental evidence showing that humans learn words effectively using cross-situational learning, even at high levels of referential uncertainty. Both overall success rates and the time taken to learn words are affected by the degree of referential uncertainty, with greater referential uncertainty leading to less reliable, slower learning. Words are also learned less successfully and more slowly (...)
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  • Rules and causation.John R. Searle - 1980 - Behavioral and Brain Sciences 3 (1):37-38.
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  • An artificial intelligence perspective on Chomsky's view of language.Roger C. Schank - 1980 - Behavioral and Brain Sciences 3 (1):35-37.
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  • Chomsky's evidence against Chomsky's theory.Geoffrey Sampson - 1980 - Behavioral and Brain Sciences 3 (1):34-35.
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  • The modularity and maturation of cognitive capacities.David M. Rosenthal - 1980 - Behavioral and Brain Sciences 3 (1):32-34.
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  • Cross purposes.Howard Rachlln - 1980 - Behavioral and Brain Sciences 3 (1):30-31.
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  • Formal models of language learning.Steven Pinker - 1979 - Cognition 7 (3):217-283.
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  • There are many modular theories of mind.Adam Morton - 1980 - Behavioral and Brain Sciences 3 (1):29-29.
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  • Language: levels of characterisation.John Morton - 1980 - Behavioral and Brain Sciences 3 (1):29-30.
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  • Chomsky's radical break with modern traditions.Julius M. Moravcsik - 1980 - Behavioral and Brain Sciences 3 (1):28-29.
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  • The differential role of phonological and distributional cues in grammatical categorisation.Padraic Monaghan, Nick Chater & Morten H. Christiansen - 2005 - Cognition 96 (2):143-182.
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  • The distributional structure of grammatical categories in speech to young children.Toben H. Mintz, Elissa L. Newport & Thomas G. Bever - 2002 - Cognitive Science 26 (4):393-424.
    We present a series of three analyses of young children's linguistic input to determine the distributional information it could plausibly offer to the process of grammatical category learning. Each analysis was conducted on four separate corpora from the CHILDES database (MacWhinney, 2000) of speech directed to children under 2;5. We showthat, in accord with other findings, a distributional analysis which categorizeswords based on their co‐occurrence patterns with surroundingwords successfully categorizes the majority of nouns and verbs. In Analyses 2 and 3, (...)
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  • Frequent frames as a cue for grammatical categories in child directed speech.Toben H. Mintz - 2003 - Cognition 90 (1):91-117.
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  • Conservation accidents.James McGarrigle & Margaret Donaldson - 1974 - Cognition 3 (4):341-350.
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  • iTabula si, rasa no!James D. McCawley - 1980 - Behavioral and Brain Sciences 3 (1):26-27.
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  • Language learning versus grammar growth.Robert J. Matthews - 1980 - Behavioral and Brain Sciences 3 (1):25-26.
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  • The new organology.John C. Marshall - 1980 - Behavioral and Brain Sciences 3 (1):23-25.
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  • A Prelinguistic Gestural Universal of Human Communication.Ulf Liszkowski, Penny Brown, Tara Callaghan, Akira Takada & Conny de Vos - 2012 - Cognitive Science 36 (4):698-713.
    Several cognitive accounts of human communication argue for a language-independent, prelinguistic basis of human communication and language. The current study provides evidence for the universality of a prelinguistic gestural basis for human communication. We used a standardized, semi-natural elicitation procedure in seven very different cultures around the world to test for the existence of preverbal pointing in infants and their caregivers. Results were that by 10–14 months of age, infants and their caregivers pointed in all cultures in the same basic (...)
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  • What ever happened to deep structure?George Lakoff - 1980 - Behavioral and Brain Sciences 3 (1):22-23.
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  • Do Bats Have the Necessary Prerequisites for Symbolic Communication?Mirjam Knörnschild & Ahana A. Fernandez - 2020 - Frontiers in Psychology 11.
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  • Minimalism in cognition and language: rich man, poor man.Patrick T. W. Hudson - 1980 - Behavioral and Brain Sciences 3 (1):22-22.
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  • Two quibbles about analyticity and psychological reality.Gilbert Harman - 1980 - Behavioral and Brain Sciences 3 (1):21-22.
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  • Knowledge and learning.Robert Van Gulick - 1980 - Behavioral and Brain Sciences 3 (1):40-42.
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  • Elaboration of maturational and experiential contributions to the development of rules and representations.Gilbert Gottlieb - 1980 - Behavioral and Brain Sciences 3 (1):21-21.
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  • Human simulations of vocabulary learning.Jane Gillette, Henry Gleitman, Lila Gleitman & Anne Lederer - 1999 - Cognition 73 (2):135-176.
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  • Human simulations of vocabulary learning.Jane Gillette, Lila Gleitman, Henry Gleitman & Anne Lederer - 1999 - Cognition 73 (2):135-176.
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  • Evolutionary anatomy and language.Michael T. Ghiselin - 1980 - Behavioral and Brain Sciences 3 (1):20-20.
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  • Contrast and entailment: Abstract logical relations constrain how 2- and 3-year-old children interpret unknown numbers.Roman Feiman, Joshua K. Hartshorne & David Barner - 2019 - Cognition 183 (C):192-207.
    Do children understand how different numbers are related before they associate them with specific cardinalities? We explored how children rely on two abstract relations – contrast and entailment – to reason about the meanings of ‘unknown’ number words. Previous studies argue that, because children give variable amounts when asked to give an unknown number, all unknown numbers begin with an existential meaning akin to some. In Experiment 1, we tested an alternative hypothesis, that because numbers belong to a scale of (...)
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  • Sensory-motor intelligence and semantic relations in early child grammar.Derek Edwards - 1973 - Cognition 2 (4):395-434.
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  • Passing the buck to biology.Daniel C. Dennett - 1980 - Behavioral and Brain Sciences 3 (1):19-19.
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  • The colour cognition of children.Jules Davidoff & Peter Mitchell - 1993 - Cognition 48 (2):121-137.
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  • Guessing Meaning From Word Sounds of Unfamiliar Languages: A Cross-Cultural Sound Symbolism Study.Anita D’Anselmo, Giulia Prete, Przemysław Zdybek, Luca Tommasi & Alfredo Brancucci - 2019 - Frontiers in Psychology 10.
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  • The language faculty and the interpretation of linguistics.Robert Cummins & Robert M. Harnish - 1980 - Behavioral and Brain Sciences 3 (1):18-19.
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  • Empirical evidence in support of non-empiricist theories of mind.Richard F. Cromer - 1980 - Behavioral and Brain Sciences 3 (1):16-18.
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  • The new organology.Noam Chomsky - 1980 - Behavioral and Brain Sciences 3 (1):42-61.
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  • Rules and representations.Noam A. Chomsky - 1980 - Behavioral and Brain Sciences 3 (127):1-61.
    The book from which these sections are excerpted is concerned with the prospects for assimilating the study of human intelligence and its products to the natural sciences through the investigation of cognitive structures, understood as systems of rules and representations that can be regarded as These mental structui′es serve as the vehicles for the exercise of various capacities. They develop in the mind on the basis of an innate endowment that permits the growth of rich and highly articulated structures along (...)
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  • Rules and representations.Noam Chomsky - 1980 - Behavioral and Brain Sciences 3 (1):1-15.
    The book from which these sections are excerpted is concerned with the prospects for assimilating the study of human intelligence and its products to the natural sciences through the investigation of cognitive structures, understood as systems of rules and representations that can be regarded as “mental organs.” These mental structui′es serve as the vehicles for the exercise of various capacities. They develop in the mind on the basis of an innate endowment that permits the growth of rich and highly articulated (...)
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  • From communication to language—a psychological perspective.J. S. Bruner - 1974 - Cognition 3 (3):255-287.
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  • What sort of innate structure is needed to “bootstrap” into syntax?Martin D. S. Braine - 1992 - Cognition 45 (1):77-100.
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  • John Macnamara (1929–1996) pointing to a new and promising direction for psychological research.G.-J. A. Boudewijnse - 2002 - Axiomathes 13 (2):163-186.
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  • John Macnamara (1929–1996) Pointing to a New and Promising Direction for Psychological Research.G. -J. A. Boudewijnse - 2002 - Global Philosophy 13 (2):163-186.
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  • Word learning under infinite uncertainty.Richard A. Blythe, Andrew D. M. Smith & Kenny Smith - 2016 - Cognition 151 (C):18-27.
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  • Learning Times for Large Lexicons Through Cross‐Situational Learning.Richard A. Blythe, Kenny Smith & Andrew D. M. Smith - 2010 - Cognitive Science 34 (4):620-642.
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  • Précis of how children learn the meanings of words.Paul Bloom - 2001 - Behavioral and Brain Sciences 24 (6):1095-1103.
    Normal children learn tens of thousands of words, and do so quickly and efficiently, often in highly impoverished environments. In How Children Learn the Meanings of Words, I argue that word learning is the product of certain cognitive and linguistic abilities that include the ability to acquire concepts, an appreciation of syntactic cues to meaning, and a rich understanding of the mental states of other people. These capacities are powerful, early emerging, and to some extent uniquely human, but they are (...)
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