Towards an Emotional Robot: Simulating Hippocampal-Mediated Anxiety

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

Abstract

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”.

Keywords

Noradrenaline Neurol Choline Acetylcholine Sonar 

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References

  1. 1.
    Myhrer T. Exploratory behaviour and reaction to novelty in rats: Effects of medial and lateral septal lesions. Behav Neurosci 1989; 103:1226–1233.CrossRefGoogle Scholar
  2. 2.
    Gray JA, McNaughton N. The neuropsychology of anxiety: Reprise. In: Hope DA (ed) Perspectives on anxiety, panic and fear. University of Nebraska Press, Lincoln, 1996.Google Scholar
  3. 3.
    O’Keefe J, Nadel L. The hippocampus as a cognitive map. Clarendon, Oxford, 1978.Google Scholar
  4. 4.
    Rolls ET. A theory of hippocampal function in memory. Hippocampus 1996; 6:601–620.CrossRefGoogle Scholar
  5. 5.
    Izquierdao I, Medina JH. Memory formation: The sequence of biochemical events in the hippocampus and its connection to activity in other brain structures. Neurobiol Learning Memory 1997; 68:285–316.CrossRefGoogle Scholar
  6. 6.
    Squire LR. Memory and the hippocampus: A synthesis from findings with rats, monkeys and humans. Psychol Rev 1992; 2:195–231.CrossRefGoogle Scholar
  7. 7.
    Honey RC, Watt A, Good M. Hippocampal lesions disrupt an associative mismatch process. J Neurosci 1998; 18:2226–2230.Google Scholar
  8. 8.
    Hasselmo ME, Schnell E. Laminar selectivity of the cholinergic suppression of synaptic transmission in rat hippocampal region CA1: Computational modelling and brain slice physiology. J Neurosci 1994; 14:3898–3914.Google Scholar
  9. 9.
    Denham MJ, McCabe SL. Biological basis for a neural model of learning and recall of goal-directed sensory-motor behaviours. In: Proc world congress on neural networks, San Diego, 1996, pp 1283–1286. Google Scholar
  10. 10.
    Schmajuk NA, Lam Y, Gray JA. Latent inhibition: A neural network approach. J Exp Psych 1996; 22:321–349.Google Scholar
  11. 11.
    Burgess N, Donnett JG, Jeffery KJ, O’Keefe J. Robotic and neuronal simulation of the hippocampus and rat navigation. Phil Trans Royal Soc London B 1997; 352:1535–1543.CrossRefGoogle Scholar
  12. 12.
    McGuire TR. Emotion and behaviour genetics in vertebrates and invertebrates. In: Lewis M, Haviland JM (eds) Handbook of Emotions. Guildford Press, New York, 1993, pp 155–166.Google Scholar
  13. 13.
    Protscher M, Leranth C. Cholinergic innervation of the rat hippocampus as revealed by choline acetyl-transferase immunocytochemistry: A combined light and electron microscopic study. J Comp Neurol 1985; 239:237–246.CrossRefGoogle Scholar
  14. 14.
    Amaral DG, Witter MP. The three-dimensional organisation of the hippocampal formation: A review of anatomical data. Neurosci 1989; 31:571–591.CrossRefGoogle Scholar
  15. 15.
    Insausti R, Amaral DG, Cowan WM. The entorhinal cortex of the monkey: II. Cortical afferents. J Comp Neurol 1987; 264:356–395.CrossRefGoogle Scholar
  16. 16.
    Gluck MA, Myers CE. Integrating behavioural and physiological models of hippocampal function. Hippocampus 1996; 6:643–653CrossRefGoogle Scholar
  17. 17.
    Lee DC The map building and exploration strategies of a simple sonar-equipped mobile robot; an experimental, quantitative evaluation. Distinguished dissertations in computer science. Cambridge University Press, 1996.Google Scholar
  18. 18.
    Kohonen T. Associative memory. Springer-Verlag, Germany, 1977.MATHGoogle Scholar
  19. 19.
    Metcalfe J. Recognition failure and the composite memory trace in CHARM. Psych Rev 1991; 98:529–553.CrossRefGoogle Scholar
  20. 20.
    Vanderwolf CH, Kramis R, Robinson TE. Hippocampal electrical activity during waking behaviour and sleep: Analyses using centrally acting drugs. In: Elliott K, Whelan J (eds) Functions of the septo-hippocampal system. Elsevier, Amsterdam, 1978, pp 199–221 (Ciba Foundation symp 58). Google Scholar
  21. 21.
    Mason K, Heal DJ, Stanford SC. The anxiogenic agents, yohimbine and FG 7142, disrupt the noradrenergic response to novelty. Pharmacol Biochem Behav 1998; 60:321–327.CrossRefGoogle Scholar
  22. 22.
    Etienne AS. The control of short-distance homing in the golden hamster. In: Ellen P, Thinus-Blanc C (eds) Cognitive processes in spatial orientation in animal and man. Martinus NijhofF, Dortrecht, 1987, pp 223–251.Google Scholar
  23. 23.
    Zangrossi H, File SE. Habituation and generalisation of phobic responses to cat odor. Brain Res Bull 1994; 33:189–194.CrossRefGoogle Scholar

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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