• DocumentCode
    548484
  • Title

    Distributed agencies applied to complex social systems, a multi-dimensional approach

  • Author

    Marquez, Bogart Yail ; Espinoza-Hernandez, Ivan ; Castanon-Puga, Manuel ; Castro, Juan R. ; Suarez, Eugenio D.

  • Author_Institution
    Chem. & Eng. Fac., Baja California Autonomous Univ., Tijuana, Mexico
  • fYear
    2011
  • fDate
    21-23 June 2011
  • Firstpage
    213
  • Lastpage
    219
  • Abstract
    There are many ways to model a complex social system such as the level of poverty of an entity and many ways to measure poverty in an entity given the variety of definitions available. This work has as its main objective to apply the distributed agency methodology, which consists of several techniques used in computer science, to solve complex social problems. This approach allows the possibility of analyzing data from a macro level to a micro level where the intermediate part is highlighted, all in an organized integration of a social simulation displayed on geographic information with natural language quantifiers.
  • Keywords
    data analysis; data mining; social sciences computing; complex social system; computer science; data analysis; distributed agency methodology; geographic information; multidimensional approach; natural language quantifier; organized integration; social simulation; Biological system modeling; Cities and towns; Computational modeling; Data mining; Data models; Economics; Mathematical model; Complex Social System; Data Mining; Distributed Agencies; Fuzzy Logic; Poverty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Next Generation Information Technology (ICNIT), 2011 The 2nd International Conference on
  • Conference_Location
    Gyeongju
  • Print_ISBN
    978-1-4577-0266-2
  • Electronic_ISBN
    978-89-88678-39-8
  • Type

    conf

  • Filename
    5967503