Design of Social Agents

  • Roman Gorbunov
  • Emilia Barakova
  • Matthias Rauterberg
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6686)


Social behavior, as compared to the egoistic and rational behavior, is known to be more beneficial to groups of subjects and even to individual members of a group. For this reason, social norms naturally emerge as a product of evolution in human and animal populations. The benefit of the social behavior makes it also an interesting subject in the field of artificial agents. Social interactions implemented in computer agents can improve their personal and group performance. In this study we formulate design principles of social agents and use them to create social computer agents. To construct social agents we take two approaches. First, we construct social computer agents based on our understanding of social norms. Second, we use an evolutionary approach to create social agents. The social agents are shown to outperform agents that do not utilize social behavior.


Internal State Multiagent System Social Agent Cooperative Agent Mutual Cooperation 
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.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Barakova, E.I., Gillessen, J., Feijs, L.: Social training of autistic children with interactive intelligent agents. Journal of Integrative Neuroscience 8 (1), 23–34 (2009)CrossRefGoogle Scholar
  2. 2.
    Barakova, E.I., Lourens, T.: Expressing and interpreting emotional movements in social games with robots. Personal and Ubiquitous Computing 14, 457–467 (2010)CrossRefGoogle Scholar
  3. 3.
    Bekker, T., Sturm, J., Barakova, E.: Design for social interaction through physical play in diverse contexts of use. Personal and Ubiquitous Computing 14 (5), 381–383 (2010)CrossRefGoogle Scholar
  4. 4.
    Bonnie, K.E., Horner, V., Whiten, A., de Waal, F.B.M.: Spread of arbitrary conventions among chimpanzees: a controlled experiment. Proceedings in Biological Science 274(1608), 367–372 (2007)CrossRefGoogle Scholar
  5. 5.
    DiMaggio, P.J., Powell, W.W.: The iron cage revisited: Institutional isomorphism and collective rationality in organizational fields. American Sociological Review 48, 147–160 (1983)CrossRefGoogle Scholar
  6. 6.
    Ficici, S.G., Pfeffer, A.: Modeling how humans reason about others with partial information. In: Proceedings of the 7th International Joint Conference on Autonomous Agents and Multiagent Systems, vol. 1, pp. 315–322 (2008)Google Scholar
  7. 7.
    Gal, Y., Grosz, B.J., Kraus, S., Pfeffer, A., Shieber, S.: Colored trails: a formalism for investigating decision-making in strategic environments. In: Proceedings of the 2005 IJCAI workshop on reasoning, representation, and learning in computer games, pp. 25–30 (2005)Google Scholar
  8. 8.
    Gorbunov, R., Barakova, E., Ahn, R., Rauterberg, G.W.M.: Monitoring interpersonal relations through collaborative computer games (2011) (submitted)Google Scholar
  9. 9.
    Grant, R.M.: The resource-based theory of competitive advantage: Implications for strategy formulation. California Management Review 34, 119–135 (1991)Google Scholar
  10. 10.
    Gushin, V.: Psychological countermeasures during space missions: russian experience. Journal of Gravitational Physiology 9 (1), 311–312 (2002)Google Scholar
  11. 11.
    Hamel, G., Doz, Y.L., Prahalad, C.: Collaborate with your competitors, and win. In: Hamel, G., Doz, Y.L., Prahalad, C. (eds.) Harvard Business Review, pp. 133–139 (1989)Google Scholar
  12. 12.
    Hennes, D., Tuyls, K.P., Neerincx, M.A., Rauterberg, G.W.M.: Micro-scale social network analysis for ultra-long space flights. In: The IJCAI-09 Workshop on Artificial Intelligence in Space, Pasadena, California, USA (2009)Google Scholar
  13. 13.
    Hennes, D., Tuyls, K.P., Rauterberg, G.W.M.: State-coupled replicator dynamics. In: 8th International Joint Conference on Autonomous Agents and Multi-Agent Systems (AAMAS 2009), pp. 789–796 (2009)Google Scholar
  14. 14.
    Lee, U., Magistretti, E., Gerla, M., Bellavista, P., Li, P., Lee, K.W.: Bio-inspired multi-agent collaboration for urban monitoring applications. In: Liò, P., Yoneki, E., Crowcroft, J., Verma, D.C. (eds.) BIOWIRE 2007. LNCS, vol. 5151, pp. 204–216. Springer, Heidelberg (2008)CrossRefGoogle Scholar
  15. 15.
    Pfeffer, J., Salanick, G.R.: The external control of organizations. Harper and Row, New York (1978)Google Scholar
  16. 16.
    Rauterberg, M., Neerincx, M., Tuyls, K., van Loon, J.: Entertainment computing in the orbit. International federation for information processing 279, 59–70 (2008)CrossRefGoogle Scholar
  17. 17.
    Tomasello, M.: The Cultural Origins of Human Cognition. Harvard University Press, Harvard (1999)Google Scholar
  18. 18.
    Vanderelst, D., Ahn, R.M., Barakova, E.I.: Simulated trust: Towards robust social learning. In: Artificial Life XI: Proceedings of the Eleventh International Conference on the Simulation and Synthesis of Living Systems, pp. 632–639 (2008)Google Scholar
  19. 19.
    Vanderelst, D., Ahn, R.M., Barakova, E.I.: Simulated trust: A cheap social learning strategy. Theoretical Population Biology 76, 189–196 (2009)CrossRefzbMATHGoogle Scholar
  20. 20.
    Voynarovskaya, N., Gorbunov, R., Barakova, E., Ahn, R., Rauterberg, M.: Nonverbal behavior observation: Collaborative gaming method for prediction of conflicts during long-term missions. In: Yang, H.S., Malaka, R., Hoshino, J., Han, J.H. (eds.) ICEC 2010. LNCS, vol. 6243, pp. 103–114. Springer, Heidelberg (2010)CrossRefGoogle Scholar
  21. 21.
    Whiten, A., Spiteri, A., Horner, V., Bonnie, K.E., Lambeth, S.P., Schapiro, S.J., de Waal, F.B.: Transmission of multiple traditions within and between chimpanzee groups. Current Biology 17 (12), 1038–1043 (2007)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Roman Gorbunov
    • 1
  • Emilia Barakova
    • 1
  • Matthias Rauterberg
    • 1
  1. 1.Eindhoven University of TechnologyEindhovenThe Netherlands

Personalised recommendations