Effects of reputation communication expressiveness in virtual societies

A multivariate statistical analysis
  • Luis G. Nardin
  • Anarosa A. F. Brandão
  • Elisabeti Kira
  • Jaime S. Sichman


Agents interaction about reputation has to deal with semantic interoperability issues, which can be handled by different approaches using different levels of expressiveness. Previous experiments have already been conducted in order to investigate the effects of a more expressive communication language on agents’ reputation evaluation accuracy, but their analyses disregard the possible correlations among reputation models’ attributes. Here, we propose the use of a multivariate statistical approach in order to take into account such correlations and to encourage the social simulation community to analyze its experimental outputs using formal mathematical approaches. We also applied the presented approach to the experimental results previously analyzed using a univariate statistical approach. Our analysis corroborate with the latter showing that, in most cases, there is benefit in using a more expressive communication language.


Virtual societies Reputation Multiagent-based simulation Multivariate statistical analysis 



We would like to thanks Pranab Kumar Sen for his invaluable advices on multivariate statistical analysis. This project was partially supported by Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) grants 2008/06356-3 and 2010/20620-5. Jaime S. Sichman was partially supported by Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq).


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Copyright information

© Springer Science+Business Media New York 2013

Authors and Affiliations

  • Luis G. Nardin
    • 1
  • Anarosa A. F. Brandão
    • 1
  • Elisabeti Kira
    • 2
  • Jaime S. Sichman
    • 1
  1. 1.Laboratório de Técnicas Inteligentes (LTI), Escola Politécnica (EP)Universidade de São Paulo (USP)São PauloBrazil
  2. 2.Departamento de Estatística, Instituto de Matemática e Estatística (IME)Universidade de São Paulo (USP)São PauloBrazil

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