TY - JOUR
T1 - Preliminary Results From A Computational Multi Agent Modelling Approach To Study Humpback Whale Song Cultural Transmission
AU - Mcloughlin, M
AU - Lamoni, L
AU - Garland, E
AU - Ingram, S
AU - Kirke, A
AU - Noad, M
AU - Rendell, L
AU - Miranda, ER
PY - 2016
Y1 - 2016
N2 - Humpback whale (Megaptera novaeangliae) songs are a striking example of
cultural transmission in non-humans (Garland et al., 2011). During the migration
and mating season of this species, males produce complex, stereotyped sound
sequences defined as ‘songs’(Payne & McVay, 1971). Within a population,
males conform to a common yet slowly evolving song. Change can also occur
more rapidly when a completely new song is adopted by the entire population in
a relatively short time (termed ‘revolution’) (Noad, Cato, Bryden, Jenner, &
Jenner, 2000). These phenomena can only occur if the whales are learning song
from each other. While it is possible to record the shared song within a
population and how this evolves in time, the individual mechanisms and
learning strategies behind the cultural transmission of song remain unknown.
Furthermore, it is not clear how populations maintain conformity in songs that
change over variable timescales (evolution vs. revolution). This paper presents a
spatially explicit multi-agent model designed to investigate humpback whale
song learning and transmission
AB - Humpback whale (Megaptera novaeangliae) songs are a striking example of
cultural transmission in non-humans (Garland et al., 2011). During the migration
and mating season of this species, males produce complex, stereotyped sound
sequences defined as ‘songs’(Payne & McVay, 1971). Within a population,
males conform to a common yet slowly evolving song. Change can also occur
more rapidly when a completely new song is adopted by the entire population in
a relatively short time (termed ‘revolution’) (Noad, Cato, Bryden, Jenner, &
Jenner, 2000). These phenomena can only occur if the whales are learning song
from each other. While it is possible to record the shared song within a
population and how this evolves in time, the individual mechanisms and
learning strategies behind the cultural transmission of song remain unknown.
Furthermore, it is not clear how populations maintain conformity in songs that
change over variable timescales (evolution vs. revolution). This paper presents a
spatially explicit multi-agent model designed to investigate humpback whale
song learning and transmission
UR - https://pearl.plymouth.ac.uk/context/bms-research/article/1127/viewcontent/EVOLANG17.pdf
U2 - 10.17617/2.2248195
DO - 10.17617/2.2248195
M3 - Conference proceedings published in a journal
VL - 0
JO - Proceedings of the 11th International Conference on the Evolution of Language (EvoLang XI)
JF - Proceedings of the 11th International Conference on the Evolution of Language (EvoLang XI)
IS - 0
T2 - 11th International Conference on the Evolution of Language (EvoLang XI)
Y2 - 1 January 2016
ER -