GI LogoGI Logo
  • Anmelden
Digitale Bibliothek
    • Gesamter Bestand

      • Bereiche & Sammlungen
      • Titel
      • Autor
      • Erscheinungsdatum
      • Schlagwort
    • Diese Sammlung

      • Titel
      • Autor
      • Erscheinungsdatum
      • Schlagwort
Digital Bibliothek der Gesellschaft für Informatik e.V.
GI-DL
    • English
    • Deutsch
  • Deutsch 
    • English
    • Deutsch
Dokumentanzeige 
  •   Startseite
  • Fachbereiche
  • Künstliche Intelligenz (KI)
  • KI - Künstliche Intelligenz
  • Künstliche Intelligenz 27(2) - Mai 2013
  • Dokumentanzeige
JavaScript is disabled for your browser. Some features of this site may not work without it.
  •   Startseite
  • Fachbereiche
  • Künstliche Intelligenz (KI)
  • KI - Künstliche Intelligenz
  • Künstliche Intelligenz 27(2) - Mai 2013
  • Dokumentanzeige

Symbol Grounding as Social, Situated Construction of Meaning in Human-Robot Interaction

Autor(en):
Kruijff, Geert-Jan M. [DBLP]
Zusammenfassung
The paper views the issue of “symbol grounding” from the viewpoint of the construction of meaning between humans and robots, in the context of a collaborative activity. This concerns a core aspect of the formation of common ground: The construction of meaning between actors as a conceptual representation which is believed to be mutually understood as referring to a particular aspect of reality. The problem in this construction is that experience is inherently subjective—and more specifically, humans and robots experience and understand reality fundamentally differently. There is an inherent asymmetry between the actors involved. The paper focuses on how this asymmetry can be reflected logically, and particularly in the underlying model theory. The point is to make it possible for a robot to reason explicitly both about such asymmetry in understanding, consider possibilities for alignment to deal with it, and establish (from its viewpoint) a level of intersubjective or mutual understanding. Key to the approach taken in the paper is to consider conceptual representations to be formulas over propositions which are based in proofs, as reasoned explanations of experience. This shifts the focus from a notion of “truth” to a notion of judgment—judgments which can be subjectively right and still intersubjectively wrong (faultless disagreement), and which can evolve over time (updates, revision). The result is an approach which accommodates both asymmetric agency and social sentience, modelling symbol grounding in human-robot interaction as social, situated construction over time.
  • Vollständige Referenz
  • BibTeX
Kruijff, G.-J. M., (2013). Symbol Grounding as Social, Situated Construction of Meaning in Human-Robot Interaction.   KI - Künstliche Intelligenz: Vol. 27, No. 2. Springer. (S. 153-160). DOI: 10.1007/s13218-013-0238-3
@article{mci/Kruijff2013,
author = {Kruijff, Geert-Jan M.},
title = {Symbol Grounding as Social, Situated Construction of Meaning in Human-Robot Interaction},
journal = {KI - Künstliche Intelligenz},
volume = {27},
number = {2},
year = {2013},
,
pages = { 153-160 } ,
doi = { 10.1007/s13218-013-0238-3 }
}

Sollte hier kein Volltext (PDF) verlinkt sein, dann kann es sein, dass dieser aus verschiedenen Gruenden (z.B. Lizenzen oder Copyright) nur in einer anderen Digital Library verfuegbar ist. Versuchen Sie in diesem Fall einen Zugriff ueber die verlinkte DOI: 10.1007/s13218-013-0238-3

Haben Sie fehlerhafte Angaben entdeckt? Sagen Sie uns Bescheid: Feedback abschicken

Mehr Information

DOI: 10.1007/s13218-013-0238-3
ISSN: 1610-1987
Datum: 2013
Typ: Text/Journal Article

Keywords

  • Common ground
  • Human-robot interaction
  • Multi-agent collaboration
  • Situation awareness
Sammlungen
  • Künstliche Intelligenz 27(2) - Mai 2013 [15]

Zur Langanzeige


Über uns | FAQ | Hilfe | Impressum | Datenschutz

Gesellschaft für Informatik e.V. (GI), Kontakt: Geschäftsstelle der GI
Diese Digital Library basiert auf DSpace.

 

 


Über uns | FAQ | Hilfe | Impressum | Datenschutz

Gesellschaft für Informatik e.V. (GI), Kontakt: Geschäftsstelle der GI
Diese Digital Library basiert auf DSpace.