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Simulating Working Environments Through the Use of Personality-Based Agents

  • Anne M. P. Canuto
  • André M. C. Campos
  • Araken M. Santos
  • Eliane C. M. Moura
  • Emanuel B. Santos
  • Rodrigo G. Soares
  • Kaio A. A. Dantas
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4140)

Abstract

This paper presents a multi-agent simulation system, named SimOrg (Simulation of human organization), in which the personality aspect is incorporated in the internal functioning of the agents. The general architecture of the agents has been based on the theory of human personality from Theodore Millon [13]. The presented simulation has been used to simulate working environments, focusing on the training process within an organization. The main aim of this paper is to analyze how personality can affect the performance of the agent when simulating working environments.

Keywords

Execution Time User Action Cognitive Style Human Personality Human Organization 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Alchieri, J.C., Campos, A., Canuto, A.: The effects of personality in the performance of individuals of a working organization. Tech Report, UFRN (2005)Google Scholar
  2. 2.
    Alchieri, J.C.: Models of Millon personality styles: An adaptation of Millon personality styles. PhD Thesis. Federal University of Rio Grande do Sul, Porto Alegre (2004)Google Scholar
  3. 3.
    Alchieri, J.C., Campos, A., Canuto, A.: SimOrg: Simulation of Human Organizations. In: Vetor (ed.) Psichological Evaluation of Organizations (2006) (in press)Google Scholar
  4. 4.
    Campos, A., Hill, D.: An Agent-Based Framework for Visual-Interactive Ecosystem Simulations. Transaction of SCS 15(4), 139–152 (1998)Google Scholar
  5. 5.
    Campos, A., Lustosa Neto, V.P., Costa, A., Gonçalves, L.M.: Introducing Personality in Game Characters. In: Proceeding of the 2nd Brazilian Workshop on Games and Digital Entertainment (2003)Google Scholar
  6. 6.
    Campos, A., Santos, E., Canuto, A., Soares, R., Alchieri, J.: A Flexible Framework for Representing Personality in Agents. In: AAMAS 2006, vol. 1, pp. 97–104 (2006)Google Scholar
  7. 7.
    Church, A., Waclawski, J.: The relationship between individual personality orientation and executive leadership behaviour. Journal of Occupational and Organizational Psychology 71(2), 99–126 (1998)Google Scholar
  8. 8.
    Deravi, F., Fairhurst, M., Guest, R., Canuto, A., Mavity, N.: Intelligent Agents for the Management of Complexity in Multimodal Biometrics. Journal of Universal Access in the Information Society 2(4), 293–304 (2003)CrossRefGoogle Scholar
  9. 9.
    Digman, J.M.: Personality Structure: Emergence of the Five-Factor Model. Annual Review of Psychology 41, 417–440 (1990)CrossRefGoogle Scholar
  10. 10.
    Egges, A., Kshirsagar, S., Magnenat-Thalmann, N.: Generic personality and emotion simulation for conversational agents. J. Comput. Anim. Virtual Worlds 15, 1–13 (2004)CrossRefGoogle Scholar
  11. 11.
    Gilbert, N., Troitzsch, K.G.: Simulation for the Social Scientist. Open University Press (1999)Google Scholar
  12. 12.
    Howard, P.J., Howard, J.M.: The BIG FIVE Quickstart: An Introduction to the Five-factor Model of Personality for Human Resource Professionals, Center for Applied Cognitive Studies, Charlotte, North Carolina (2001), www.centacs.com/quickstart.htm
  13. 13.
    Millon, T.: The MIPS: Gauging the Dimensions of Normality. In: The Millon inventories: clinical and personality assessment, pp. 498–522. Guilford, New York (1997)Google Scholar
  14. 14.
    Schmidt, B.: The Modelling of Human Behavior. SCS Publications, Erlangen (2000)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Anne M. P. Canuto
    • 1
  • André M. C. Campos
    • 1
  • Araken M. Santos
    • 1
  • Eliane C. M. Moura
    • 1
  • Emanuel B. Santos
    • 1
  • Rodrigo G. Soares
    • 1
  • Kaio A. A. Dantas
    • 1
  1. 1.Informatics and Applied Mathematics DepartmentFederal University of RN NatalBrazil

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