Coordination and Sociability for Intelligent Virtual Agents

  • Francisco Grimaldo
  • Miguel Lozano
  • Fernando Barber
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4870)


This paper presents a multi-agent framework designed to simulate synthetic humans that properly balance task oriented and social behaviors. The work presented in this paper focuses on the social library integrated in BDI agents to provide socially acceptable decisions. We propose the use of ontologies to define the social relations within an artificial society and the use of a market based mechanism to reach sociability by means of task exchanges. The social model balances rationality, to control the global coordination of the group, and sociability, to simulate relations (e.g. friendliness) and reciprocity among agents. The multi-agent framework has been tested successfully in dynamic environments while simulating a virtual bar, where groups of waiters and customers can interact and finally display complex social behaviors (e.g. task passing, reciprocity, planned meetings).


Social Utility Virtual Character Virtual Human Social Simulation Winner Determination Problem 
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 2008

Authors and Affiliations

  • Francisco Grimaldo
    • 1
  • Miguel Lozano
    • 1
  • Fernando Barber
    • 1
  1. 1.Computer Science DepartmentUniversity of Valencia(Burjassot)Spain

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