• DocumentCode
    445581
  • Title

    Computational exploration on language emergence and cultural dissemination

  • Author

    Gong, Tao ; Minett, James W. ; Wang, William S -Y

  • Author_Institution
    Dept. of Electron. Eng., Chinese Univ. of Hong Kong, China
  • Volume
    2
  • fYear
    2005
  • fDate
    2-5 Sept. 2005
  • Firstpage
    1629
  • Abstract
    Evolutionary computation is used to explore the emergence of language, focusing particularly on the intrinsic relationship between the lexicon and syntax, and the exogenous relationship between language use and cultural development. A multi-agent model traces a coevolution of the lexicon and syntax, and demonstrates that linguistic and some distance constraint on communications can trigger and maintain cultural heterogeneity. This model also traces an optimization process using evolutionary mechanisms based on local information. Certain mechanisms in this model, such as recurrent pattern extraction, strength-based competition and indirect feedback, can be generalized to study robot learning, optimization and other evolutionary phenomena.
  • Keywords
    evolutionary computation; linguistics; multi-agent systems; optimisation; computational exploration; cultural dissemination; evolutionary computation; language emergence; multiagent model; Computational modeling; Cultural differences; Data mining; Evolution (biology); Evolutionary computation; Feedback; Global communication; Humans; Natural languages; Robot kinematics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation, 2005. The 2005 IEEE Congress on
  • Print_ISBN
    0-7803-9363-5
  • Type

    conf

  • DOI
    10.1109/CEC.2005.1554884
  • Filename
    1554884