Task Fulfilment and Temporal Patterns of Activity in Artificial Ant Colonies

  • Jordi Delgado
  • Ricard V. Sole
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1674)

Abstract

Since the discovery of self-synchronization of activity in ant colonies some authors have argued that this phenomenon lacks any adaptive significance, while others have suggested that there may be some functional behaviors related to these rhythmical patterns of activity. In this paper, we introduce a mobile automata model of task fulfilment in ant colonies with self-synchronized activity, and test if these synchronized patterns provide any advantage when compared with non-synchronized activity patterns.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Amit, D.: Modeling Brain Function. Cambridge: Cambridge University Press (1989).MATHGoogle Scholar
  2. 2.
    Blanchard, G.B., Pranks, N.R.: A new mechanism of synchronous activity. Preprint (1998).Google Scholar
  3. 3.
    Bonabeau, E., Theraulaz, G. (eds.): Intelligence Collective. Hermes: Paris (1994)MATHGoogle Scholar
  4. 4.
    Bonabeau, E., Theraulaz, G. & Deneubourg, J.-L.: Quantitative study of the fixed threshold model for the regulation of division of labour in insect societies. Proc. R. Soc. Lond. B 263 (1996) 1565–1569.CrossRefGoogle Scholar
  5. 5.
    Bonabeau, E., Theraulaz, G. & Deneubourg, J.-L.: The synchronization of recruitment-based activities of ants. BioSystems 45 (1998) 195–211.CrossRefGoogle Scholar
  6. 6.
    Cole, B.J.: The social behavior of Leptoihorax allardycei (Hymenoptera, Formicidae)-time budgets and the evolution of worker reproduction. Behav. Ecol. Sociobiol. 18 (1986) 165–173.CrossRefGoogle Scholar
  7. 7.
    Cole, B.J.: Short-term activity cycles in ants: generation of periodicity by worker interaction. Am. Nat. 137 (1991) 244–259.CrossRefGoogle Scholar
  8. 8.
    Cole, B.J.: Is animal behaviour chaotic? Evidence from the activity of ants. Proc. R. Soc. Lond. B 244 (1991) 253–259.CrossRefGoogle Scholar
  9. 9.
    Cole, B.J., Cheshire, D.: Mobile cellular automata models of ant behavior: movement activity of Leptoihorax Allardycei. Am. Nat. 148 (1996) 1–15.CrossRefGoogle Scholar
  10. 10.
    Delgado, J.: On Collective Computation. Ph.D. Thesis, Dept. Llenguatges i Sistemes Informàtics, Universitat Politècnica de Catalunya, Barcelona, Spain (1997).Google Scholar
  11. 11.
    Delgado, J., Solé, R.V.: Noise Induced Transitions in Fluid Neural Networks. Phys. Lett. A 229 (1997) 183–189.CrossRefGoogle Scholar
  12. 12.
    Delgado, J., Solé, R.V.: Mean field theory of Fluid Neural Networks. Phys. Rev. E 57 (1998) 2204–2211.CrossRefGoogle Scholar
  13. 13.
    Delgado, J., Solé, R.V.: Self-synchronization and task fulfilment in social insects. Santa Fe Institute Working Paper 98-08-069 (1998), Santa Fe Institute (Santa Fe, U.S.A.).Google Scholar
  14. 14.
    Franks, N.R., Bryant, S.: Rhythmical patterns of activity within the nest of ants. In Chemistry and Biology of Social Insects (Eder, J. & Rembold, H. eds.) pp. 122–123. Munich: Peperny (1987).Google Scholar
  15. 15.
    Franks, N.R., Bryant, S., Griffiths, R., Hemerik, L.: Synchronization of the behavior within the nests of the ant Leptothorax acervorum-I. Discovering the phenomenon and its relation to the level of starvation. Bull. Math. Biol. 52 (1990) 597–612.MATHGoogle Scholar
  16. 16.
    Franks, N.R., Wilby, A., Silverman, B.W., Tofts, C: Self-organizing nest construction in ants: Sophisticated building by blind bulldozing. Anim. Behav. 44 (1992) 357–375.CrossRefGoogle Scholar
  17. 17.
    Gordon, D.M., Goodwin, B.C., Trainor L.E.H.: A parallel distributed model of the behaviour of ant colonies. J. Theor. Biol. 156 (1992) 293–307CrossRefGoogle Scholar
  18. 18.
    Goss, S., Deneubourg, J.-L.: Autocatalysis as a source of synchronised rhythmical activity in social insects. Insect. Soc. 35 (1988) 310–315.CrossRefGoogle Scholar
  19. 19.
    Hatcher, M.J., Tofts, C., Franks, N.R.: Mutual exclusion as a mechanism for information exchange within ant nests. Naturwissenschaften 79 (1992) 32–34.CrossRefGoogle Scholar
  20. 20.
    Herbers, J.M.: Social organization in Leptothorax ants: Within-and between-species patterns. Psyche 90 (1983) 361–386.CrossRefGoogle Scholar
  21. 21.
    Hölldobler, B., Wilson, E.O.: The Ants. Berlin: Springer-Verlag (1990)Google Scholar
  22. 22.
    Miramontes, O.: Complexity and Behaviour in Leptothorax Ants, Master Thesis, Open University, U.K. (1992)Google Scholar
  23. 23.
    Robinson, G.E.: Regulation of division of labor in insect societies. Ann. Rev. Entomol. 37 (1992) 637–702.CrossRefGoogle Scholar
  24. 24.
    Solé, R.V., Miramontes, O.: Information at the edge of chaos in Fluid Neural Networks. Physica D 80 (1995) 171–180MATHGoogle Scholar
  25. 25.
    Solé, R.V., Miramontes, O., Goodwin, B.C.: Oscillations and chaos in ant societies. J. Theor. Biol. 161 (1993) 343–357.CrossRefGoogle Scholar
  26. 26.
    Solé, R.V., Miramontes, O., Goodwin, B.C.: Emergent behavior in insect societies: Global oscillations, chaos and computation. In Interdisciplinary Approaches to Nonlinear Complex Systems. Springer Series in Synergetics vol.62 (Haken, H. & Mikhailov, A. eds.) pp.77–88. Berlin: Springer Verlag (1993).Google Scholar
  27. 27.
    Tofts, C: Algorithms for task allocation in ants (a study of temporal polyethism: Theory). Bull. Math. Biol. 55 (1993) 891–918MATHGoogle Scholar
  28. 28.
    Tofts, C., Hatcher, M., Franks, N.R.: The autosynchronization of the ant Leptothorax acervorum (Fabricius): Theory, testability and experiment. J. Theor. Biol. 157 (1992) 71–82CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1999

Authors and Affiliations

  • Jordi Delgado
    • 1
    • 2
    • 3
  • Ricard V. Sole
    • 2
    • 3
  1. 1.Dept. Llenguatges i Sistemes InformàticsUniversitat Politècnica de CatalunyaBarcelonaSpain
  2. 2.Complex Systems Research Group, Department of Physics, FENUniversitat Politècnica de CatalunyaBarcelonaSpain
  3. 3.Santa Fe InstituteSanta FeUSA

Personalised recommendations