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1
The contribution of visual articulatory gestures and orthography to speech processing: Evidence from novel word learning
In: ISSN: 0278-7393 ; EISSN: 1939-1285 ; Journal of Experimental Psychology: Learning, Memory, and Cognition ; https://hal.archives-ouvertes.fr/hal-03189083 ; Journal of Experimental Psychology: Learning, Memory, and Cognition, American Psychological Association, In press, ⟨10.1037/xlm0001036⟩ (2021)
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2
From graphemes to language and to knowledge ; Des graphèmes à la langue et à la connaissance
Haralambous, Yannis. - : HAL CCSD, 2020
In: https://hal.archives-ouvertes.fr/tel-02986651 ; Intelligence artificielle [cs.AI]. Université de Bretagne Occidentale, 2020 (2020)
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3
Теория и методика вербальной и иконической репрезентации социокультурной реальности в печатных СМИ
БАБИКОВА МАРИНА РАШИТОВНА; ЧУДИНОВ АНАТОЛИЙ ПРОКОПЬЕВИЧ. - : Федеральное государственное бюджетное образовательное учреждение высшего профессионального образования «Уральский государственный педагогический университет», 2016
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4
Visualization of Decision Processes Using a Cognitive Architecture
In: DTIC (2013)
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5
Exploring the Complexity of Tree Thinking Expertise in an Undergraduate Systematics Course
In: Faculty Publications (2011)
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6
Computational processes in human vision : an interdisciplinary perspective
Pylyshyn, Zenon W.. - Norwood, NJ : Ablex, 1988
MPI für Psycholinguistik
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7
Computational Imagery
In: http://papers.cnl.salk.edu/PDFs/Computational Neuroscience 2001-3563.pdf
Abstract: understand how such hybrid systems can best be constructed and applied. (c) What can we learn from human cognitive models? The topic of mental imagery has lofig been studied in areas such as psychology, philosophy, and linguistics. Researchers in A1 have much to learn from the understanding of how the human information processing system reasons with image representations. (d) What are other potential domains of application for diagrammatic reasoning? Although several ap-plication areas have been considered, there are cer-tainly other areas that would benefit from the ability to incorporate diagrams or images for the purpose of problem solving. The area of diagrammatic reasoning is relatively new in AI. Prior to 1990 there were only a handful of papers related to this topic. Although interest and activity has greatly increased during the 1990s, there are still many questions to be posed and answered in this emerging area.
Keyword: Knowledge Representation; Logics for Knowledge Representation; Mental Imagery; Mental Models; Mental Represent- ations; Neural Basis of; Philo- sophical Aspects; Practical Reasoning; Propositional Representations in Psychology; Psychology of; Reasoning with Mental Models; Visual Imagery
URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.85.9980
http://papers.cnl.salk.edu/PDFs/Computational Neuroscience 2001-3563.pdf
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