Abstract
Dance communication of honeybees has been well known since von Frisch's work. Many researchers have believed that the waggle dance of forager bees shows the direction and distance of resources. In this paper, we suggest a possibility that dance followers employ a temporal path integration mechanism to translate the dance. We apply a neural network model consisting of sinusoidal arrays for a representation of the resource vector. The followers keeping in contact with the forager accumulate the activation of head direction relative to a gravity compass and calculate the resource vector in a circular array of neurons. This provides an idea of how bees can translate the sickle dance as well as the waggle dance into the resource location. The neural model is tested with simulated robots to communicate the resource location.
| Original language | English |
|---|---|
| Pages (from-to) | 962-971 |
| Number of pages | 10 |
| Journal | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Volume | 3242 |
| Publication status | Published - 2004 Dec 1 |
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All Science Journal Classification (ASJC) codes
- Theoretical Computer Science
- Computer Science(all)
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Translating the dances of honeybees into resource location. / Kim, Daeeun.
In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 3242, 01.12.2004, p. 962-971.Research output: Contribution to journal › Article
TY - JOUR
T1 - Translating the dances of honeybees into resource location
AU - Kim, Daeeun
PY - 2004/12/1
Y1 - 2004/12/1
N2 - Dance communication of honeybees has been well known since von Frisch's work. Many researchers have believed that the waggle dance of forager bees shows the direction and distance of resources. In this paper, we suggest a possibility that dance followers employ a temporal path integration mechanism to translate the dance. We apply a neural network model consisting of sinusoidal arrays for a representation of the resource vector. The followers keeping in contact with the forager accumulate the activation of head direction relative to a gravity compass and calculate the resource vector in a circular array of neurons. This provides an idea of how bees can translate the sickle dance as well as the waggle dance into the resource location. The neural model is tested with simulated robots to communicate the resource location.
AB - Dance communication of honeybees has been well known since von Frisch's work. Many researchers have believed that the waggle dance of forager bees shows the direction and distance of resources. In this paper, we suggest a possibility that dance followers employ a temporal path integration mechanism to translate the dance. We apply a neural network model consisting of sinusoidal arrays for a representation of the resource vector. The followers keeping in contact with the forager accumulate the activation of head direction relative to a gravity compass and calculate the resource vector in a circular array of neurons. This provides an idea of how bees can translate the sickle dance as well as the waggle dance into the resource location. The neural model is tested with simulated robots to communicate the resource location.
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UR - http://www.scopus.com/inward/citedby.url?scp=33750231078&partnerID=8YFLogxK
M3 - Article
AN - SCOPUS:33750231078
VL - 3242
SP - 962
EP - 971
JO - Lecture Notes in Computer Science
JF - Lecture Notes in Computer Science
SN - 0302-9743
ER -