Distributed computing environment for community and social health studies

  • Authors:

  • Lucian Milea;Adrian Zafiu;Valentin Voiculescu;Mihail Teodorescu

  • Affiliations:

  • Faculty of Electronics, Telecommunications and IT, Politehnica University of Bucharest;Faculty of Electronics, Communications and Computers, University of Pitesti, Romania;Faculty of Electronics, Telecommunications and IT, Politehnica University of Bucharest;Faculty of Electronics, Telecommunications and IT, Politehnica University of Bucharest

  • Venue:
  • ICANCM'11/ICDCC'11 Proceedings of the 2011 international conference on applied, numerical and computational mathematics, and Proceedings of the 2011 international conference on Computers, digital communications and computing
  • Year:
  • 2011

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Abstract

The paper presents an artificial societies simulator, based on multilevel distributed computing, and some of its applications in the fields of community and social health. Artificial societies allow some fascinating experiments on the evolution of societies of agents in different conditions for modeling complex and dynamic social environment. It is estimated so that most of the social mechanisms can be modeled in this way, including the formation and evolution of social classes, the prediction of election results, the initiation and developpment of social trends and movements, the outspreading of epidemics etc. In our computing environment it is essential for modeling each real phenomenon in society to find libraries of rules of evolution based on exploring and understanding the interaction between individuals and between individuals and the social environment in a given context.The tool proved to be useful to predict social and health problems and also for identifying solutions and develop strategies to apply them for different landscapes and social contexts.