• DocumentCode
    950426
  • Title

    Representation as a Fluent: An AI Challenge for the Next Half Century

  • Author

    Bundy, Alan ; McNeill, Fiona

  • Author_Institution
    Sch. of Informatics, Edinburgh Univ.
  • Volume
    21
  • Issue
    3
  • fYear
    2006
  • Firstpage
    85
  • Lastpage
    87
  • Abstract
    The authors argued that AI systems must be able to manipulate their own internal representations automatically to deal with an infinitely complex and ever-changing world and to scale up to rich, complex applications. Such manipulation must go beyond changing beliefs and learning new concepts in terms of old concepts; it must be able to change ontology´s underlying syntax and semantics. Initial progress has been made, but further progress is urgently needed owing to the demands of autonomous multiagent systems. Understanding and implementing this ability must be a major focus of AI for the next 50 years
  • Keywords
    multi-agent systems; ontologies (artificial intelligence); AI system; autonomous multiagent system; ontology learning; Artificial intelligence; Decision trees; Fault diagnosis; Feeds; Humans; Merging; Multiagent systems; Ontologies; Runtime; fault diagnosis; knowledge representation; multiagent systems; ontology matching; planning;
  • fLanguage
    English
  • Journal_Title
    Intelligent Systems, IEEE
  • Publisher
    ieee
  • ISSN
    1541-1672
  • Type

    jour

  • DOI
    10.1109/MIS.2006.56
  • Filename
    1637360