Pattern Formation and Optimization in Army Ant Raids
Army ant colonies display complex foraging raid patterns involving thousands of individuals communicating through chemical trails. In this paper we explore, by means of a simple search algorithm, the properties of these trails in order to test the hypothesis that their structure reflects an optimized mechanism for exporing and exploiting food resources. The raid patterns of three army ant species, Ection hamatum, Ection burchelli, and Ection rapex, are analysed. The respective diets of these species involve large but rare, small but common, and a combination of large but rare and small but common, food sources. Using a model proposed by Deneubourg et al. (1989), we simulate the formation of raid patterns in reponse to different food distributions. Our results indicate that the empirically observed raid patterns maximise return on investment, that is, the amount of food brought back to the nest per unit of energy expended, for each of the diets. Moreover, the values of the parameters that characterise the three optimal pattern-generating mechanisms are strikingly similar. Therefore the same behavioural rules at theindividual level can produce optimal colony-level patters. The evolutionary implications of these finding are discussed.
To our knowledge, this item is not available for
download. To find whether it is available, there are three
1. Check below under "Related research" whether another version of this item is available online.
2. Check on the provider's web page whether it is in fact available.
3. Perform a search for a similarly titled item that would be available.
|Date of creation:||Oct 1999|
|Date of revision:|
|Contact details of provider:|| Postal: |
Web page: http://www.santafe.edu/sfi/publications/working-papers.html
More information through EDIRC
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Eric Bonabeau & Guy Theraulza & Jean-Louis Deneubourg & Serge Aron & Scott Camazine, 1997. "Self-Organization in Social Insects," Working Papers 97-04-032, Santa Fe Institute.
- Jesus Marin & Ricard V. Sole, 1998. "Macroevolutionary Algorithms: A New Optimization Method on Fitness Landscapes," Working Papers 98-11-108, Santa Fe Institute.
When requesting a correction, please mention this item's handle: RePEc:wop:safiwp:99-10-074. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Thomas Krichel)
If references are entirely missing, you can add them using this form.