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Embodied concept mapping

Blending structure-mapping and embodiment theories

Dados Bibliográficos

ID20484303
AutoresFernando Marmolejo-Ramos (0000-0003-4680-1287, The University of Adelaide), Omid Khatin-Zadeh (0000-0001-5294-9777, Chabahar Maritime University), Babak Yazdani-Fazlabadi (University of Ottawa), Babak Yazdani‐Fazlabadi (0000-0003-4952-4318, University of Ottawa), Carlos Tirado (0000-0003-3937-9372, Stockholm University), Eyal Sagi (University of St. Francis)
Ano2017
Volume24
Fascículo2
Páginas164-185
Data de publicação2017-12-31
Peer ReviewedSim
Open AccessNão
TipoARTICLE
PeriódicoPragmatics & Cognition (JOURNAL)
Identificadores do periódicoISSN: 0929-0907 • E-ISSN: 1569-9943
EditoraJohn Benjamins Publishing Company (PUBLISHER • NL)
DOI10.1075/pc.17013.mar
OpenAlexW2896512482
IdiomaEN
Citações recebidas2
Referências citadas77

Metaphors are cognitive and linguistic tools that allow reasoning. They enable the understanding of abstract domains via elements borrowed from concrete ones. The underlying mechanism in metaphorical mapping is the manipulation of concepts. This article proposes another view on what concepts are and their role in metaphor and reasoning. That is, based on current neuroscientific and behavioural evidence, it is argued that concepts are grounded in perceptual and motor experience with physical and social environments. This definition of concepts is then embedded in the Structure-Mapping Theory (SMT), a model for metaphorical processing and reasoning. The blended view of structure-mapping and embodied cognition offers an insight into the processes through which the target domain of a metaphor is embodied or realised in terms of its base domain. The implications of the proposed embodied SMT model are then discussed and future topics of investigation are outlined

Cognition · Cognitive science · Embodied cognition · Epistemology · Linguistics · Metaphor · Perception · Action Observation and Synchronization · Child and Animal Learning Development · Computer Science · Language, Metaphor, and Cognition · Philosophy · Psychology · Artificial Intelligence

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Obras citantes distintas2
Citações por ano1
Intervalo de citações2024 - 2025 (2)
Velocidade de citaçãorecent
Altamente citadoNão
Tipos de citaçãoNeutras: 2
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