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Let’s Run for It!: Conspecific Emotional Flocking Triggered via Virtual Pheromones

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Smart Graphics (SG 2003)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2733))

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Abstract

This paper extends Reynolds’ flocking algorithm to incorporate the effects of emotions, in this case fear. Sheep are used as a typical example of flocking mammals and an autonomous agent architecture with an action selection mechanism incorporating the effects of emotion is linked to the standard flocking rules. Smell is used to transmit emotion between animals, through pheromones modelled as particles in a free expansion gas. Preliminary results show that more realistic flocking behaviour is produced.

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References

  1. Gerald P Baerends, The functional organization of behaviour, Animal Behaviour (1976), no. 24, 726–738.

    Article  Google Scholar 

  2. Bruce Blumberg, Action-selection in hamsterdam: Lessons from ethology, Proceedings of the Third International Conference on Simulation of Adaptive Behavior (Brighton, England), 1994.

    Google Scholar 

  3. Antonio Damasio, Descartes’ error:emotion, reason and the human brain, Papermac, Oxford, United Kingdom, 1996.

    Google Scholar 

  4. Richard Dawkins, Hierarchical organisation: A candidate principle for ethology, Growing Points in Ethology (Bateson & Hinde, ed.), Cambridge University Press, 1976.

    Google Scholar 

  5. Carlos Delgado-Mata, Rocio Ruiz-Rodarte, Ruth S Aylett, M A Perez-Cisneros, and P A Cook, Illusion of life in palenque: Communicating emotions inside a virtual environment for maya cultural heritage, PRICAI: Seventh Pacific Rim International Conference on Artificial Intelligence (Tokyo, Japan) (Helmut Prendinger, ed.), PRICAI, 2002.

    Google Scholar 

  6. G. W. Flake, The computational beauty of nature: Computer explorations of fractals, chaos, complex systems, and adaptation, MIT Press, 1999.

    Google Scholar 

  7. Karl Grammer, 5-alpha-androst-16en-3alpha-one: a male pheromone?, Ethology and Sociobiology 14 (1993), no. 3, 201–207.

    Article  Google Scholar 

  8. Carol E Izard, Four systems for emotion activation: Cognitive and noncognitive processes, Psychological Review 100 (1993), no. 1, 68–90.

    Article  Google Scholar 

  9. Anne Kitchell, Sharon Lynn, and Shiva Vafai, 10 smell myths: Uncovering the stinkin’ truth, Tech. report, Department of Biological Sciences, University of South Carolina, 1995.

    Google Scholar 

  10. C. Langton, Artificial life: An overview, MIT Press, Cambridge, MA, 1995.

    Google Scholar 

  11. D A Marshall, L Blumer, and D G Moulton, Odor detection curves for n-pentanoic acid in dogs and humans, Chemical Senses 6 (1981), 445–453.

    Article  Google Scholar 

  12. Fernand Mery, The life, history and magic of the dog, Grosset & Dunlap, New York, USA, 1970.

    Google Scholar 

  13. Marvin Minsky, The society of mind, Simon & Schuster, New York, USA, 1985.

    Google Scholar 

  14. Mike Neary, Sheep sense, The Working Border Collie (2001).

    Google Scholar 

  15. R. Parent, Computer animation: Algorithms and techniques, 1998, Available at http://www.cis.ohio-state.edu/parent/book/outline.html.

  16. Rosalind Picard, Affective computing, MIT Press, Cambridge, MA, USA, 1997.

    Google Scholar 

  17. W. Reeves, Particle systems-a technique for modeling a class of fuzzy objects, ACM Transactions on Graphics 2 (1983), no. 2, 91–108.

    Article  Google Scholar 

  18. Viktor Reinhardt and Annie Reinhardt, Comfortable quarters for laboratory animals, Comfortable Quarters for Laboratory Animals (Viktor Reinhardt and Annie Reinhardt, eds.), Animal Welfare Institute, Washington, DC, 2002.

    Google Scholar 

  19. Craig W Reynolds, Flocks, herds, and schools: A distributed behavioral model, Computer Graphics 21 (1987), no. 4, 25–34.

    Article  Google Scholar 

  20. J.K. Rosenblatt and D.W. Payton, A fine-grained alternative to the subsumption architecture for mobile robot control, Proceedings of the IEEE/INNS International Joint Conference on Neural Networks (Washington DC), vol. 2, June 1989, pp. 317–324.

    Article  Google Scholar 

  21. Nikolaas Tinbergen, The study of instinct, Oxford University Press, United Kingdom, 1969.

    Google Scholar 

  22. Toby Tyrell, Computational mechanisms for action selection, Ph.D. thesis, University of Edinburgh, Edinburgh, Scotland, 1993.

    Google Scholar 

  23. Juan Velásquez, Modeling emotions and other motivations in synthetic agents, Proceedings of the Fourteenth National Conference on Artificial Intelligence (AAAI-97) (Providence, RI), MIT/AAAI Press, 1997.

    Google Scholar 

  24. Wildtangent, Wildtangent web driver, http://www.wildtangent.com/, 2003.

  25. Tristam D Wyatt, Pheromones and animal behaviour, Cambridge University Press, Cambrigde, U.K., 2003.

    Google Scholar 

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© 2003 Springer-Verlag Berlin Heidelberg

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Delgado-Mata, C., Ibanez, J., Aylett, R. (2003). Let’s Run for It!: Conspecific Emotional Flocking Triggered via Virtual Pheromones. In: Butz, A., Krüger, A., Olivier, P. (eds) Smart Graphics. SG 2003. Lecture Notes in Computer Science, vol 2733. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-37620-8_13

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  • DOI: https://doi.org/10.1007/3-540-37620-8_13

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40557-3

  • Online ISBN: 978-3-540-37620-0

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