Learning and Retrieval of Memory Elements in a Navigation Task

  • Thierry Hoinville
  • Rüdiger Wehner
  • Holk Cruse
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7375)

Abstract

Desert ants when foraging for food, navigate by performing path integration and exploiting landmarks. In an earlier paper, we proposed a decentralized neurocontroller that describes this navigation behavior. As by real ants, landmarks are recognized depending on the context, i.e. only when landmarks belong to the path towards the current goal (food source, home). In this earlier version, neither position nor quality of the food sources can be learnt, the memory is preset. In this article, we present a new version, whose memory elements allow for learning food place vectors and quality. When the agent meets a food source, it updates the quality value, if this source is already known, or stores position and quality, if the source is new. Quality values are used to select food sources to be visited. When one source has a too low quality, the agent also finds a shortcut to another known food source.

Keywords

Ant Navigation Learning Decentralized Memory Navinet 

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References

  1. 1.
    Baddeley, B., Graham, P., Husbands, P., Philippides, A.: Model of ant route navigation driven by scene familiarity. PLoS Comput. Biol. 8(1), e1002336 (2012)CrossRefGoogle Scholar
  2. 2.
    Cheng, K., Narendra, A., Sommer, S., Wehner, R.: Traveling in clutter: navigation in the central australian desert ant Melophorus bagoti. Behav. Proc. 80, 261–268 (2009)CrossRefGoogle Scholar
  3. 3.
    Collett, T.S., Graham, P., Harris, R.A., Hempel-de-Ibara, N.: Navigational memories in ants and bees: memory retrieval when selecting and following routes. Adv. Stud. Behav. 36, 123–172 (2006)CrossRefGoogle Scholar
  4. 4.
    Cruse, H., Wehner, R.: No need for a cognitive map: Decentralized memory for insect navigation. PLoS Comput. Biol. 7(3), e1002009 (2011)Google Scholar
  5. 5.
    Fuster, J.M.: Memory in the Cerebral Cortex: an Empirical Approach to Neural Networks in the Human and Nonhuman Primate. MIT Press, Cambridge (1995)Google Scholar
  6. 6.
    Graham, P.: Insect navigation. In: Breed, M.D., Moore, J. (eds.) Encyclopedia of Animal Behavior, vol. 2, pp. 167–175. Academic Press, Oxford (2010)CrossRefGoogle Scholar
  7. 7.
    Makarov, V.A., Song, Y., Velarde, M.G., Hübner, D., Cruse, H.: Elements for a general memory structure: Properties of recurrent neural networks used to form situation models. Biol. Cybern. 98, 371–395 (2008)MATHCrossRefGoogle Scholar
  8. 8.
    Schmid-Hempel, P.: Foraging characteristics of the desert ant Cataglyphis. Experientia. Suppl. 54, 43–61 (1987)Google Scholar
  9. 9.
    Vickerstaff, R., Cheung, A.: Which coordinate system for modelling path integration. Journal of Theoretical Biology 263, 242–261 (2010)CrossRefGoogle Scholar
  10. 10.
    Wehner, R.: The desert ant’s navigational toolkit: procedural rather than positional knowledge. J. Navigation 55, 101–114 (2008)Google Scholar
  11. 11.
    Wehner, R.: The architecture of the desert ant’s navigational toolkit (Hymenoptera: Formicidae). Myrm News 12, 85–96 (2009)MathSciNetGoogle Scholar
  12. 12.
    Wehner, R., Meier, C., Zollikofer, C.: The ontogeny of foraging behaviour in desert ants, Cataglyphis bicolor. Ecol. Entomol. 29, 240–250 (2004)CrossRefGoogle Scholar
  13. 13.
    Wehner, R., Michel, B., Antonsen, P.: Visual navigation in insects: coupling egocentric and geocentric information. J. Exp. Biol. 199, 129–140 (1996)Google Scholar
  14. 14.
    Widrow, B., Hoff, M.: Adaptive switching circuits. In: Anderson, J., Rosenfeld, E. (eds.) Neurocomputing: Foundations of Research, pp. 96–104. MIT Press, Cambridge (1960)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Thierry Hoinville
    • 1
    • 2
  • Rüdiger Wehner
    • 3
  • Holk Cruse
    • 1
    • 2
  1. 1.Center of Excellence Cognitive Interaction Technology (CITEC)Germany
  2. 2.Department of Biological CyberneticsUniversity of BielefeldGermany
  3. 3.Brain Research InstituteUniversity of ZürichSwitzerland

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