• DocumentCode
    2466922
  • Title

    An approach to modelling city-scale artificial society based-on organization metaphor

  • Author

    Tang, Mingsheng ; Mao, Xinjun ; Zhou, Huiping ; Tan, Xueyan

  • Author_Institution
    Sch. of Comput., Nat. Univ. of Defense Technol., Changsha, China
  • fYear
    2012
  • fDate
    14-17 Oct. 2012
  • Firstpage
    953
  • Lastpage
    958
  • Abstract
    Complexity issues in the real world cannot be completely solved by experiments on the real society. ACP approach (Artificial society for modelling, Computations experiment for analysis and Parallel execution for control) has been proposed to solve to eliminate the gap of micro-to-macro emergent behaviours. Artificial society modelling is the consitituent of the ACP approach. However, there are no widely accepted and well-established methods to conduct and standardize artificial society modelling. This paper describes the main aspects of artificial society modelling, including agent population, environment and event. Based on the social organization metaphor, it presents an artificial society modelling approach, including the modelling process. This approach can effectively aid and guide artificial society modelling.
  • Keywords
    behavioural sciences computing; social sciences computing; ACP approach; agent population; artificial society modelling; city-scale artificial society; complexity issue; micro-to-macro emergent behaviour; modelling process; parallel execution; real society; real world; social organization metaphor; Biological system modeling; Complexity theory; Computational modeling; Organizations; Social network services; Sociology; Statistics; ACP; agent; artificial society; complex system; organization metaphor;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man, and Cybernetics (SMC), 2012 IEEE International Conference on
  • Conference_Location
    Seoul
  • Print_ISBN
    978-1-4673-1713-9
  • Electronic_ISBN
    978-1-4673-1712-2
  • Type

    conf

  • DOI
    10.1109/ICSMC.2012.6377851
  • Filename
    6377851