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On the importance of a rich embodiment in the grounding of concepts: perspectives from embodied cognitive science and computational linguistics.

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  • Author(s): Thill S;Thill S; Padó S; Ziemke T
  • Source:
    Topics in cognitive science [Top Cogn Sci] 2014 Jul; Vol. 6 (3), pp. 545-58. Date of Electronic Publication: 2014 Jun 20.
  • Publication Type:
    Journal Article
  • Language:
    English
  • Additional Information
    • Source:
      Publisher: Cognitive Science Society, Inc Country of Publication: United States NLM ID: 101506764 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1756-8765 (Electronic) Linking ISSN: 17568757 NLM ISO Abbreviation: Top Cogn Sci Subsets: MEDLINE
    • Publication Information:
      Original Publication: Hoboken, NJ : Cognitive Science Society, Inc., c2009-
    • Subject Terms:
      Cognition* ; Cognitive Science* ; Language* ; Linguistics*; Concept Formation ; Humans ; Models, Theoretical ; Robotics
    • Abstract:
      The recent trend in cognitive robotics experiments on language learning, symbol grounding, and related issues necessarily entails a reduction of sensorimotor aspects from those provided by a human body to those that can be realized in machines, limiting robotic models of symbol grounding in this respect. Here, we argue that there is a need for modeling work in this domain to explicitly take into account the richer human embodiment even for concrete concepts that prima facie relate merely to simple actions, and illustrate this using distributional methods from computational linguistics which allow us to investigate grounding of concepts based on their actual usage. We also argue that these techniques have applications in theories and models of grounding, particularly in machine implementations thereof. Similarly, considering the grounding of concepts in human terms may be of benefit to future work in computational linguistics, in particular in going beyond "grounding" concepts in the textual modality alone. Overall, we highlight the overall potential for a mutually beneficial relationship between the two fields.
      (Copyright © 2014 Cognitive Science Society, Inc.)
    • Contributed Indexing:
      Keywords: Concept grounding; Distributional semantics; Embodiment; Machine language understanding
    • Publication Date:
      Date Created: 20140621 Date Completed: 20150413 Latest Revision: 20140725
    • Publication Date:
      20221213
    • Accession Number:
      10.1111/tops.12093
    • Accession Number:
      24948385