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Malassis, Raphaëlle; Rey, Arnaud; Fagot, Joël – Cognitive Science, 2018
Human and non-human primates share the ability to extract adjacent dependencies and, under certain conditions, non-adjacent dependencies (i.e., predictive relationships between elements that are separated by one or several intervening elements in a sequence). In this study, we explore the online extraction dynamics of non-adjacent dependencies in…
Descriptors: Primatology, Reaction Time, Correlation, Experiments
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Minier, Laure; Fagot, Joël; Rey, Arnaud – Cognitive Science, 2016
Extracting the regularities of our environment is one of our core cognitive abilities. To study the fine-grained dynamics of the extraction of embedded regularities, a method combining the advantages of the artificial language paradigm (Saffran, Aslin, & Newport, [Saffran, J. R., 1996]) and the serial response time task (Nissen & Bullemer,…
Descriptors: Artificial Languages, Cognitive Ability, Language Patterns, Primatology
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Mandler, Jean M. – Cognitive Science, 2012
A theory of how concept formation begins is presented that accounts for conceptual activity in the first year of life, shows how increasing conceptual complexity comes about, and predicts the order in which new types of information accrue to the conceptual system. In a compromise between nativist and empiricist views, it offers a single…
Descriptors: Concept Formation, Theories, Cognitive Processes, Attention
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Hochmann, Jean-Remy; Azadpour, Mahan; Mehler, Jacques – Cognitive Science, 2008
An important topic in the evolution of language is the kinds of grammars that can be computed by humans and other animals. Fitch and Hauser (F&H; 2004) approached this question by assessing the ability of different species to learn 2 grammars, (AB)[superscript n] and A[superscript n] B[superscript n]. A[superscript n] B[superscript n] was taken to…
Descriptors: Phrase Structure, Gender Differences, Languages, Models
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Anderson, John R. – Cognitive Science, 2005
This article describes the Adaptive Control of Thought-Rational (ACT-R) cognitive architecture (Anderson et al., 2004; Anderson & Lebiere, 1998) and its detailed application to the learning of algebraic symbol manipulation. The theory is applied to modeling the data from a study by Qin, Anderson, Silk, Stenger, & Carter (2004) in which children…
Descriptors: Cognitive Processes, Models, Symbols (Mathematics), Algebra