A Cognitive Approach for Reproducing the Homing Behaviour of Honey Bees

Xin Yuan, Michael John Liebelt, Braden J. Phillips

2017

Abstract

We describe the implementation if an agent-based controller for an autonomous robot with cognitive abilities that reproduce homing capability in the foraging behaviour of the honeybee. The agent is based on a symbolic representation of data and information and is written in a language designed to describe fine-grained large scale parallelism, the Street language (Frost et al. 2015). The objective of this approach is to enable the direct translation of agents written in Street into embedded hardware, to achieve compact, power efficient, autonomous cognitive processing capability.

References

  1. Chittka, L & Tautz, J 2003, 'The spectral input to honeybee visual odometry', Journal of Experimental Biology, vol. 206, no. 14, pp. 2393-2397.
  2. Forgy, CL 1981, OPS5 user's manual, DTIC Document.
  3. Frost, J, Numan, MW, Liebelt, M & Phillips, BJ 2015, 'A new computer for cognitive computing', Cognitive Informatics & Cognitive Computing (ICCI* CC), 2015 IEEE 14th International Conference on, IEEE, pp. 33- 38.
  4. Fry, SN & Wehner, R 2002, 'Honey bees store landmarks in an egocentric frame of reference', Journal of Comparative Physiology A, vol. 187, no. 12, pp. 1009- 1016.
  5. Gillner, S, Weiß, AM & Mallot, HA 2008, 'Visual homing in the absence of feature-based landmark information', Cognition, vol. 109, no. 1, pp. 105-122.
  6. Giurfa, M 2003, 'Cognitive neuroethology: dissecting nonelemental learning in a honeybee brain', Current opinion in neurobiology, vol. 13, no. 6, pp. 726-735.
  7. Giurfa, M 2007, 'Behavioral and neural analysis of associative learning in the honeybee: a taste from the magic well', Journal of Comparative Physiology A, vol. 193, no. 8, pp. 801-824.
  8. GIURFA, M, HAMMER, M, STACH, S, STOLLHOFF, N, MÜLLER-DEISIG, N & MIZYRYCKI, C 1999, 'Pattern learning by honeybees: conditioning procedure and recognition strategy', Animal behaviour, vol. 57, no. 2, pp. 315-324.
  9. Horridge, A 2006, 'Some labels that are recognized on landmarks by the honeybee (Apis mellifera)78, Journal of insect physiology, vol. 52, no. 11, pp. 1254-1271.
  10. Kiya, T, Kunieda, T & Kubo, T 2007, 'Increased neural activity of a mushroom body neuron subtype in the brains of forager honeybees', PLoS One, vol. 2, no. 4, p. e371.
  11. Koch, C & Laurent, G 1999, 'Complexity and the nervous system', Science, vol. 284, no. 5411, pp. 96-98.
  12. Labhart, T & Meyer, EP 2002, 'Neural mechanisms in insect navigation: polarization compass and odometer', Current opinion in neurobiology, vol. 12, no. 6, pp. 707-714.
  13. Laird, JE 2012, The Soar cognitive architecture, MIT Press.
  14. Menzel, R 2012, 'The honeybee as a model for understanding the basis of cognition', Nature Reviews Neuroscience, vol. 13, no. 11, pp. 758-768.
  15. Menzel, R & Giurfa, M 2001, 'Cognitive architecture of a mini-brain: the honeybee', Trends in cognitive sciences, vol. 5, no. 2, pp. 62-71.
  16. Menzel, R & Greggers, U 2015, 'The memory structure of navigation in honeybees', Journal of Comparative Physiology A, vol. 201, no. 6, pp. 547-561.
  17. Menzel, R, Greggers, U, Smith, A, Berger, S, Brandt, R, Brunke, S, Bundrock, G, Hülse, S, Plümpe, T & Schaupp, F 2005, 'Honey bees navigate according to a map-like spatial memory', Proceedings of the National Academy of Sciences of the United States of America, vol. 102, no. 8, pp. 3040-3045.
  18. Numan, MW, Frost, J, Phillips, BJ & Liebelt, M 2015, 'A Network-based Communication Platform for a Cognitive Computer', AIC 2015, p. 94.
  19. Srinivasan, M, Zhang, S & Lehrer, M 1998, 'Honeybee navigation: odometry with monocular input', Animal behaviour, vol. 56, no. 5, pp. 1245-1259.
  20. Traniello, JF 1989, 'Foraging strategies of ants', Annual review of entomology, vol. 34, no. 1, pp. 191-210.
  21. Wajnberg, E, Acosta-Avalos, D, Alves, OC, de Oliveira, JF, Srygley, RB & Esquivel, DM 2010, 'Magnetoreception in eusocial insects: an update', Journal of the Royal Society Interface, vol. 7, no. Suppl 2, pp. S207-S225.
Download


Paper Citation


in Harvard Style

Yuan X., Liebelt M. and Phillips B. (2017). A Cognitive Approach for Reproducing the Homing Behaviour of Honey Bees . In Proceedings of the 9th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, ISBN 978-989-758-220-2, pages 543-550. DOI: 10.5220/0006195705430550


in Bibtex Style

@conference{icaart17,
author={Xin Yuan and Michael John Liebelt and Braden J. Phillips},
title={A Cognitive Approach for Reproducing the Homing Behaviour of Honey Bees},
booktitle={Proceedings of the 9th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,},
year={2017},
pages={543-550},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006195705430550},
isbn={978-989-758-220-2},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 9th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,
TI - A Cognitive Approach for Reproducing the Homing Behaviour of Honey Bees
SN - 978-989-758-220-2
AU - Yuan X.
AU - Liebelt M.
AU - Phillips B.
PY - 2017
SP - 543
EP - 550
DO - 10.5220/0006195705430550