@inbook{fe92c46b2e124783be1ad1090ca54d88,
title = "Translating the dances of honeybees into resource location",
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.",
author = "Daeeun Kim",
year = "2004",
doi = "10.1007/978-3-540-30217-9_97",
language = "English",
isbn = "3540230920",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "962--971",
editor = "Xin Yao and Bullinaria, {John A.} and Jonathan Rowe and Peter Tino and Ata Kaban and Edmund Burke and Lozano, {Jose A.} and Jim Smith and Merelo-Guervos, {Juan J.} and Hans-Paul Schwefel",
booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
address = "Germany",
}