Language as Mechanisms for Interaction: Towards an Evolutionary Tale
Autor: | Christine Howes, Eleni Gregoromichelaki, Ruth Kempson |
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Rok vydání: | 2019 |
Předmět: |
Cognitive science
Computer science 05 social sciences Perspective (graphical) Common ground Cognition 050105 experimental psychology 03 medical and health sciences 0302 clinical medicine Rule-based machine translation Situated 0501 psychology and cognitive sciences 030217 neurology & neurosurgery Natural language |
Zdroj: | Lecture Notes in Computer Science ISBN: 9783662595640 TbiLLC |
DOI: | 10.1007/978-3-662-59565-7_11 |
Popis: | In this paper we present a view of natural language (NL) grammars compatible with enactive approaches to cognition. This perspective aims to directly model the group-forming properties of NL interactions. Firstly, NL communication is not taken as underpinned by convergence/common ground but modelled as the employment of flexible procedures enabling creative joint activities without overarching common goals. On this basis, we argue that a common non-individualistic pattern can be discerned across NL learning, individual and institutional NL change, and evolution. At all levels and stages, modelling of change relies on situated iteration leading to joint establishment and modification of practices. NL learning, change, and even NL emergence can all then be seen in gradualistic terms, with the higher-order organisation that incorporates NL grammars constituting an adaptive interactive system in continuity with the definition of living organisms as modelled in enactive approaches. |
Databáze: | OpenAIRE |
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