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            The evolution of grounded spatial language

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            Author(s)
            Spranger, Michael
            Collection
            Knowledge Unlatched (KU)
            Language
            English
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            Abstract
            This book presents groundbreaking robotic experiments on how and why spatial language evolves. It provides detailed explanations of the origins of spatial conceptualization strategies, spatial categories, landmark systems and spatial grammar by tracing the interplay of environmental conditions, communicative and cognitive pressures. The experiments discussed in this book go far beyond previous approaches in grounded language evolution. For the first time, agents can evolve not only particular lexical systems but also evolve complex conceptualization strategies underlying the emergence of category systems and compositional semantics. Moreover, many issues in cognitive science, ranging from perception and conceptualization to language processing, had to be dealt with to instantiate these experiments, so that this book contributes not only to the study of language evolution but to the investigation of the cognitive bases of spatial language as well.
            URI
            https://doab-dev.siscern.org/handle/20.500.12854/152586
            Keywords
            robotic experiments; spatial language; spatial grammar; Adjective; Adverb; Anatomical terms of location; Chinese grammar; Evolution; Frame of reference; Parsing; Preposition and postposition; Semantics; Syntax; thema EDItEUR::C Language and Linguistics::CF Linguistics; thema EDItEUR::U Computing and Information Technology
            DOI
            10.26530/OAPEN_611695
            ISBN
            9783946234159;9783944675466
            Publisher
            Language Science Press
            Publisher website
            http://langsci-press.org/
            Publication date and place
            2016
            Grantor
            • Knowledge Unlatched
            Series
            Computational Models of Language Evolution,
            Pages
            280
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            Credits


            • logo Investir l'avenirInvestir l'avenir
            • logo MESRIMESRI
            • logo EUEuropean Union
              This project received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 871069.

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