Multi-Agents Models: applications to social networks

Project: PHD

Project Details


Nowadays agents' models are widely applied to describe and analyse complex systems as different as animal swarms, social systems, economics, biological systems and many others. The common key idea behind these models is that they exhibit a two levels description: a global one (macro level) as a whole system and a second local behaviour (micro level), each agent obeying to some "personal" rules. The main task is to achieve a description of the macro level as emerging from the micro rules.
Effective start/end date1/09/0731/08/09


  • opinion dynamics
  • complex systems
  • Multi-Agents models
  • emergent properties
  • social networks.
  • evolution
  • Face-to-Face Discussions: Networking or Opinions Exchange?

    Righi, S. & Carletti, T., Jan 2014, Proceedings of the European Conference on Complex Systems 2012. Gilbert, T., Kirkilionis, M. & Nicolis, G. (eds.). Springer, Vol. XVII. p. 819-826 7 p. (Springer Proceedings in Complexity).

    Research output: Contribution in Book/Catalog/Report/Conference proceedingConference contribution

    Open Access
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