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Design of Social Agents

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

Abstract

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.

Keywords

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.

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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

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