Improving Adaptiveness in Autonomous Characters

  • Mei Yii Lim
  • João Dias
  • Ruth Aylett
  • Ana Paiva
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5208)


Much research has been carried out to build emotion regulation models for autonomous agents that can create suspension of disbelief in human audiences or users. However, most models up-to-date concentrate either on the physiological aspect or the cognitive aspect of emotion. In this paper, an architecture to balance the Physiological vs Cognitive dimensions for creation of life-like autonomous agents is proposed. The resulting architecture will be employed in ORIENT which is part of the EU-FP6 project eCircus. An explanation of the existing architecture, FAtiMA focusing on its benefits and flaws is provided. This is followed by a description of the proposed architecture that combines FAtiMA and the PSI motivational system. Some inspiring work is also reviewed. Finally, a conclusion and directions for future work are given.


Success Probability Autonomous Agent Autobiographic Memory Improve Adaptiveness Empathic Process 
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

  • Mei Yii Lim
    • 1
  • João Dias
    • 2
  • Ruth Aylett
    • 1
  • Ana Paiva
    • 2
  1. 1.School of Mathematical and Computer SciencesHeriot Watt UniversityEdinburghScotland
  2. 2.INESC-ID, IST, TagusparkPorto SalvoPortugal

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