Towards an Emotional Robot: Simulating Hippocampal-Mediated Anxiety

  • John F. Kazer
  • Amanda J. C. Sharkey
Part of the Perspectives in Neural Computing book series (PERSPECT.NEURAL)


The approach taken here is to attempt to simulate an emotion, anxiety, using a neural network which approximates to real neural systems and a simulated robot (Nomadic Technologies v2.6.7). There are currently many robots being designed whose behaviour depends upon innate responses (reactive robots) or learning but which we believe lack the requirements for emotions. The key aspect of our definition of emotional robotics is that the robot will react differently to the same stimulus depending upon its emotional status. We describe a simulation which provides the basis for such a system. The major part of the simulation is a neural network representation of the mammalian hippocampus. Experiments are presented in which the robot exhibits anxiety-like behaviour, which changes in a biologically realistic manner after a “lesion”.


Recognition Rate Anxiety Level Input Pattern Septal Lesion Learning Cycle 
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Copyright information

© Springer-Verlag London Limited 1999

Authors and Affiliations

  • John F. Kazer
    • 1
  • Amanda J. C. Sharkey
    • 1
  1. 1.Dept. Computer ScienceUniversity of SheffieldUK

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