Skip to main content
SpringerLink
Log in

Getting the Job Done in a Hostile Environment

  • Conference paper
  • First Online:
AI 2001: Advances in Artificial Intelligence (AI 2001)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2256))

Included in the following conference series:

  • 723 Accesses

Abstract

In nature animals going about their daily routine need to avoid predators in order to survive. Many animals have evolved some kindof startle response, which enables them to escape from dangerous situations. As robots are requiredto operate in more hostile environments, mechanisms analogous to startle responses may be critical to building robust systems. This paper presents some preliminary work exploring (1) how some reactive evasive behaviours can be added to an agent operating in a hostile environment, and(2) how evasive measures can be integratedwith the agent’s other activities.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Randall D. Beer. Intelligence as adaptive behaviour: An experiment in computational neuroethology. In Perspectives in Artificial Intelligence, volume 6. Academic Press, 1990.

    Google Scholar 

  2. Randall D. Beer and Hillel J. Chiel. Simulations of cockroach locomotion and escape. In Biological Neural Networks in Invertebrate Neuroethology and Robotics, pages 267–285. Academic Press, San Diago, 1993.

    Google Scholar 

  3. Michael V. L. Bennett. Escapism: Some startling revelations. In Neural Mechanisms of Startle Behavior, pages 353–363. New York: Plenum Press, 1984. edited by R. C. Eaton.

    Google Scholar 

  4. Rodney A. Brooks. A robust layered control system for a mobile robot. IEEE Journal of Robotics and Automation, RA-2(1):14–23, Marth 1986.

    Google Scholar 

  5. Dave Cli. and Geoffrey F. Miller. Co-evolution of pursuit andev asion ii: Simulation methods and results. In Animals to Animats IV: Proceedings of Fourth International Conference on Simulation of Adaptive Behaviour, pages 506–515. MIT Press, 1996.

    Google Scholar 

  6. M Dorigo and M Colombetti. Robot shaping: developing autonomous agents through learning. Artifical Intelligence, 71:321–370, 1994.

    Article  Google Scholar 

  7. R. C. Eaton, editor. Neural mechanisms of startle behaviour. Plenum Press, New York, 1984.

    Google Scholar 

  8. Donald H. Edwards. Mutual inhibition among neural command systems as a possible mechanism for behavioral choice in crayfish. Journal of Neuroscience, 11(5):1210–1223, May 1991.

    Google Scholar 

  9. Donald H. Edwards, William J. Heitler, Esther M. Leise, and Russell A. Fricke. Postsynaptic modulation of rectifying synaptic inputs to the lg escape command neuron in crayfish. Journal of Neuroscience, 11(7):2117–2129, July 1991.

    Google Scholar 

  10. Sevan G. Ficici and Jordan B. Pollack. Coevolving communinative behavior in a linear pursuer-evasion game. In Animals to Animats V: Proceedings of Fifth International Conference on Simulation of Adaptive Behaviour, pages 557–561. MIT Press, 1998.

    Google Scholar 

  11. David L. Glanzman and Franklin B. Krasne. Serotonin and octopamine have opposite modulatory effects on the crayfish’s lateral giant escape reaction. Journal of Neuroscience, 3(11):2263–2269, November 1983.

    Google Scholar 

  12. J. J. Grefenstette, C. L. Ramsey, and A. C. Schultz. Learning sequential decision rules using simulation models and competition. Machine Learning, 5(4):355–391, 1990.

    Google Scholar 

  13. Ronald R. Hoy. Acoustic startle: an adaptive behaviour act in flying insects. In Biological neural networks in invertebrate neuroethology and robotics, pages 139–158. Academic Press, San Diago, 1993.

    Google Scholar 

  14. J. Koza. Evolution and co-evolution of computer programs to control independently-acting agents. In Animals to Animats: Proceedings of First International Conference on Simulation of Adaptive Behaviour (SAB92), pages 366–375. MIT Press, 1991.

    Google Scholar 

  15. Franklin B. Krasne and Sunhee Cho Lee. Response-dedicated trigger neurons as control points for behavioural actions: selective inhibition of lateral giant command neurons during feeding in crayfish. Journal of Neuroscience, 8(10):3703–3712, October 1988.

    Google Scholar 

  16. Franklin B. Krasne and Terri M. Teshiba. Habituation of an invertebrate escape reflex due to modulation by higher centers rather than local events. In Proceedings of the National Academy of Science, USA, volume 92, pages 3362–3366, 1995.

    Google Scholar 

  17. Franklin B. Krasne and Jeffrey J. Wine. The production of crayfish tailflip escape response. In Neural Mechanisms of Startle Behaviour, pages 179–211. New York: Plenum Press, 1984. edited by R. C. Eaton.

    Google Scholar 

  18. Geoffrey F. Miller and Dave Cliff. Protean behaviour in dynamic games: coevolution of pursuit-evasion tactics. From Animals to Animats 3, pages 411–420, 1994.

    Google Scholar 

  19. P. Olszewski. A Salute to the humble yabby. London Angus & Robertson, 1980.

    Google Scholar 

  20. Rolf Pfeifer and Christian Scheier. Understanding Intelligence. MIT Press, 1999.

    Google Scholar 

  21. Tony J. Prescott, Peter Redgrave, and Kevin Gurney. Layered control architectures in robots and vertebrates. Adaptive Behaviour, 7(1):99–127, 1999.

    Article  Google Scholar 

  22. Eric T. Vu and Franklin B. Krasne. Crayfish tonic inhibition: Prolongedmo dulation of behavioural excitability by classical gabaergic inhibition. Journal of Neuroscience, 13(10):4394–4402, October 1993.

    Google Scholar 

  23. Mattias Wahde and Mats G. Nordahl. Evolution of protean behavior in pursuitevasion contests. In Animals to Animats V: Proceedings of Fifth International Conference on Simulation of Adaptive Behaviour, pages 557–561. MIT Press, 1998.

    Google Scholar 

  24. Jeffrey J. Wine. The structural basis of an innate behavioural pattern. Journal of Experimental Biology, 112:283–319, 1984.

    Google Scholar 

  25. Jeffrey J Wine and Franlin B Krasne. The cellular organisation of crayfish escape behaviour. In The Biology of Crustacea, volume 4, pages 241–292. Academic Press, 1982.

    Google Scholar 

  26. S-R Yeh, B. E. Musolf, and D. H. Edwards. Neuronal adaptations to changes in the social dominance status of crayfish. Journal of Neuroscience, 17(2):697–708, January 1997.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Computer Science, University of Melbourne, 3010, Parkville, Australia

    Steven Versteeg & Alan Blair

Authors
  1. Steven Versteeg
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Alan Blair
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. School of Computer and Information Science, University of South Australia, Mawson Lakes, 5095, SA, Australia

    Markus Stumptner  & Dan Corbett  & 

  2. Department of Computer Science, University of Adelaide, 5001, Adelaide, SA, Australia

    Mike Brooks

Rights and permissions

Reprints and permissions

Copyright information

© 2001 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Versteeg, S., Blair, A. (2001). Getting the Job Done in a Hostile Environment. In: Stumptner, M., Corbett, D., Brooks, M. (eds) AI 2001: Advances in Artificial Intelligence. AI 2001. Lecture Notes in Computer Science(), vol 2256. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45656-2_44

Download citation

  • DOI: https://doi.org/10.1007/3-540-45656-2_44

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42960-9

  • Online ISBN: 978-3-540-45656-8

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation