• DocumentCode
    422679
  • Title

    Networked intelligence by using ontology

  • Author

    Sato, Eri ; Yamaguchi, Tom ; Harashima, Fumio

  • Author_Institution
    Dept. of Syst. Eng. Sci., Tokyo Metropolitan Inst. of Technol., Japan
  • Volume
    1
  • fYear
    2004
  • fDate
    25-29 July 2004
  • Firstpage
    311
  • Abstract
    We propose ontology for an agent communication with human and other agents according to environmental information (situation). Recently, various types of robot and information tool are developed and used. But now, the system is still promoted and developed by human. The system isn´t able to build interaction between human. The agent processes information is led by a single robot, and isn´t able to utilize relationship with human or other agents. We consider the informational aspects of intimacy recognition technology, and information transport and sharing. Therefore, we focus attention on ontology´ technology. Human can communicate with other, by considering the situation and the body language. This is because human has the ontology. In this research, ontology is composed of conceptual fuzzy sets. Conceptual fuzzy sets can combine separate concept one by one, and form whole concept. The agent created the ontology front observed human motion and situation, and communication with human or other agents using ontology. We show the composition of ontology from the interaction between human and agent, and experiment of the communication with robot using ontology.
  • Keywords
    cooperative systems; fuzzy set theory; intelligent robots; knowledge representation; agent communication; conceptual fuzzy sets; information transport; intimacy recognition technology; networked intelligence; ontology; Associative memory; Fuzzy sets; Human robot interaction; Intelligent networks; Intelligent robots; Intelligent sensors; Ontologies; Orbital robotics; Robot sensing systems; Symbiosis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems, 2004. Proceedings. 2004 IEEE International Conference on
  • ISSN
    1098-7584
  • Print_ISBN
    0-7803-8353-2
  • Type

    conf

  • DOI
    10.1109/FUZZY.2004.1375740
  • Filename
    1375740