TY - GEN
T1 - Simulating the evolution of ant behaviour in evaluating nest sites
AU - Marshall, James A.R.
AU - Kovacs, Tim
AU - Dornhaus, Anna R.
AU - Franks, Nigel R.
N1 - Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 2003.
PY - 2003
Y1 - 2003
N2 - When an ant colony needs to find a new nest, scouts are sent out to evaluate the suitability of potential sites, particularly their size. It has been suggested that ant scouts of Leptothorax albipennis use a simple heuristic known as Buffon's needle to evaluate nest size. They do this in two stages: first laying a pheromone trail in the nest site, then, after a return to the old nest, coming back and wandering within the site assessing frequency of intersection with the pheromone trail ("two-pass" strategy). If a colony is forced to relocate from its current nest due to destruction of that nest, the time required to find a suitable new nest may be crucial. This paper details preliminary results from a computer simulation model of evaluation of nest size. The model aims to study why a "two-pass" strategy is used by ants when a "one-pass" strategy, in which the ant simultaneously lays pheromone and assesses the frequency at which it encounters its own trail, may be more time efficient. Analysis of the results indicates no clear advantage for the "two-pass" strategy, given the assumptions of the model. Possible implications of this result are discussed.
AB - When an ant colony needs to find a new nest, scouts are sent out to evaluate the suitability of potential sites, particularly their size. It has been suggested that ant scouts of Leptothorax albipennis use a simple heuristic known as Buffon's needle to evaluate nest size. They do this in two stages: first laying a pheromone trail in the nest site, then, after a return to the old nest, coming back and wandering within the site assessing frequency of intersection with the pheromone trail ("two-pass" strategy). If a colony is forced to relocate from its current nest due to destruction of that nest, the time required to find a suitable new nest may be crucial. This paper details preliminary results from a computer simulation model of evaluation of nest size. The model aims to study why a "two-pass" strategy is used by ants when a "one-pass" strategy, in which the ant simultaneously lays pheromone and assesses the frequency at which it encounters its own trail, may be more time efficient. Analysis of the results indicates no clear advantage for the "two-pass" strategy, given the assumptions of the model. Possible implications of this result are discussed.
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U2 - 10.1007/978-3-540-39432-7_69
DO - 10.1007/978-3-540-39432-7_69
M3 - Conference contribution
AN - SCOPUS:7444241028
SN - 3540200576
SN - 9783540200574
T3 - Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)
SP - 643
EP - 650
BT - Advances in Artificial Life
A2 - Banzhaf, Wolfgang
A2 - Ziegler, Jens
A2 - Christaller, Thomas
A2 - Dittrich, Peter
A2 - Kim, Jan T.
PB - Springer-Verlag
T2 - 7th European Conference on Artificial Life, ECAL 2003
Y2 - 14 September 2003 through 17 September 2003
ER -