Methods in Ecology and Evolution,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Nov. 25, 2024
Abstract
Collective
motion,
that
is
the
coordinated
spatial
and
temporal
organisation
of
individuals,
a
core
element
in
study
collective
animal
behaviour.
The
self‐organised
properties
how
group
moves
influence
its
various
behavioural
ecological
processes,
such
as
predator–prey
dynamics,
social
foraging
migration.
However,
little
known
about
inter‐
intra‐specific
variation
motion.
Despite
significant
advancement
high‐resolution
tracking
multiple
individuals
within
groups,
providing
motion
data
for
animals
laboratory
field,
framework
to
perform
quantitative
comparisons
across
species
contexts
lacking.
Here,
we
present
swaRmverse
package.
Building
on
two
existing
R
packages,
trackdf
swaRm
,
enables
identification
analysis
‘events’,
presented
Papadopoulou
et
al.
(2023),
creating
unit
comparison
datasets.
We
describe
package's
structure
showcase
functionality
using
datasets
from
several
simulated
trajectories
an
agent‐based
model.
From
positional
time‐series
(x‐y‐t‐id),
identifies
events
based
distribution
polarisation
speed.
For
each
event,
suite
validated
biologically
meaningful
metrics
are
calculated,
placed
into
‘swarm
space’
through
dimensional
reduction
techniques.
Our
package
provides
first
automated
pipeline
enabling
allows
calculation
use
complex
users
without
strong
background
will
promote
communication
data‐sharing
disciplines,
standardising
quantification
promoting
comparative
investigations.
Communications Biology,
Journal Year:
2024,
Volume and Issue:
7(1)
Published: Nov. 20, 2024
Group-living
organisms
commonly
exhibit
collective
escape
responses,
yet
how
information
flows
among
group
members
in
these
events
remains
an
open
question.
Here,
we
study
the
responses
of
a
sheep
flock
(Ovis
aries)
to
shepherd
dog
(border
collie)
driving
task
between
two
well-defined
target
points.
We
collected
high-resolution
spatiotemporal
data
from
14
and
dog,
using
Ultra-Wide-Band
tags
attached
each
individual.
find
that
spatial
positions
along
front-back
axis
group's
velocity
strongly
correlate
with
their
impact
on
movement.
Our
analyses
reveal
that,
even
though
chases
behind,
directional
shorter
time
scales
propagates
front
towards
rear;
further,
adjusts
its
movement
response
flock's
dynamics.
introduce
agent-based
model
captures
key
features.
Specifically,
chasing,
change
relative
less
frequently
transfer
flow
back;
this
pattern
disappears
absence
chasing.
reveals
some
general
insights
into
escaping
animal
groups.
Experimental
analysis
computational
modeling
flocking
herding
spreads
Frontiers in Neurorobotics,
Journal Year:
2023,
Volume and Issue:
17
Published: July 14, 2023
Swarming
or
collective
motion
is
ubiquitous
in
natural
systems,
and
instrumental
many
technological
applications.
Accordingly,
research
interest
this
phenomenon
crossing
discipline
boundaries.
A
common
major
question
that
of
the
intricate
interactions
between
individual,
group,
environment.
There
are,
however,
gaps
our
understanding
swarming
very
often
due
to
theoretical
difficulty
relating
embodied
properties
physical
agents-individual
animals
robots.
Recently,
there
has
been
much
progress
exploiting
complementary
nature
two
disciplines:
biology
robotics.
This,
unfortunately,
still
uncommon
swarm
research.
Specifically,
are
few
examples
joint
programs
investigate
multiple
biological
synthetic
agents
concomitantly.
Here
we
present
a
novel
tool,
enabling
unique,
tightly
integrated,
bio-inspired,
robot-assisted
study
questions
motion.
Utilizing
quintessential
model
behavior-locust
nymphs
recently
developed
Nymbots
(locust-inspired
robots)-we
focus
on
fundamental
scientific
swarms,
providing
interdisciplinary
insights
sharing
ideas
disciplines.
The
Nymbot-Locust
bio-hybrid
enables
investigation
hypotheses
would
be
otherwise
difficult,
even
impossible
test,
discover
might
remain
hidden
from
view.
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2023,
Volume and Issue:
unknown
Published: June 19, 2023
Abstract
Individuals
often
employ
simple
rules
that
can
emergently
synchronise
behaviour.
Some
collective
behaviours
are
intuitively
beneficial,
but
others
like
mate
signalling
in
leks
occur
across
taxa
despite
theoretical
individual
costs.
Whether
disparate
instances
of
synchronous
similarly
organised
is
unknown,
largely
due
to
challenges
observing
many
individuals
simultaneously.
Recording
field
collectives
and
ex
situ
playback
experiments,
we
describe
principles
bioluminescent
signals
produced
by
marine
ostracods
(Crustacea;
Luxorina)
seem
behaviorally
convergent
with
terrestrial
fireflies,
whom
they
last
shared
a
common
ancestor
over
500
mya.
Like
groups
males
use
visual
cues
(intensity
duration
light)
decide
when
signal.
Individual
also
modulate
their
signal
based
on
the
distance
nearest
neighbours.
During
peak
darkness,
luminescent
“waves”
displays
emerge
ripple
sea
floor
every
∼60
seconds,
such
periodicity
decays
within
between
nights
after
full
moon.
Our
data
reveal
these
aggregations
sensitive
both
ecological
social
light
sources.
Because
function
difficult
dissect,
evolutionary
convergence,
diverse
arthropods,
provides
natural
replicates
understand
generalities
produce
emergent
group
THEORIA An International Journal for Theory History and Foundations of Science,
Journal Year:
2023,
Volume and Issue:
unknown
Published: Nov. 14, 2023
In
this
essay,
I
revisit
and
extend
my
arguments
for
a
view
of
science
that
is
pluralistic,
perspectival
pragmatist.
attempt
to
resolve
mismatches
between
metaphysical
assumptions,
epistemological
desiderata,
scientific
practice.
consider
long-held
views
about
unity
reductionism,
emergent
properties
physicalism,
exceptionless
necessity
in
explanatory
laws,
the
justification
realism.
My
solutions
appeal
partiality
representation,
perspectivism
theories
data,
interactive
co-construction
warranted
claims
Provides
a
pipeline
for
the
comparative
analysis
of
collective
movement
data
(e.g.
fish
schools,
bird
flocks,
baboon
troops)
by
processing
2-dimensional
positional
(x,y,t)
from
GPS
trackers
or
computer
vision
tracking
systems,
discretizing
events
motion,
calculating
set
established
metrics
that
characterize
each
event,
and
placing
in
multi-dimensional
swarm
space
constructed
these
metrics.
The
concept,
sets
included
are
described
in:
Papadopoulou
Marina,
Furtbauer
Ines,
O'Bryan
Lisa
R.,
Garnier
Simon,
Georgopoulou
Dimitra
G.,
Bracken
Anna
M.,
Christensen
Charlotte
King
Andrew
J.
(2023)
<doi:10.1098/rstb.2022.0068>.
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Oct. 28, 2024
Abstract
European
starlings
perform
a
great
diversity
of
patterns
collective
behaviour
when
hunted
by
aerial
predators;
their
large
flocks
are
changing
shape,
size,
and
internal
structure
continuously
rapidly,
but
how
these
emerge
self-organization
is
still
unknown.
Here,
we
disentangle
the
emergence
several
interconnected
escape
in
starlings.
We
combine
video
footage
starling
pursued
robotic
predator,
RobotFalcon,
with
simulations
new
data-driven
3-dimentional
agent-based
model.
Our
empirical
data
show
that
flock
members
often
differ
evasive
manoeuvres
arise
simultaneously
at
different
parts
flock.
In
our
computational
model,
identify
what
rules
motion,
coordination
individual
level
lead
to
group
density,
dynamics,
similar
real
flocks.
Overall,
results
suggest
dynamics
simultaneous
depend
on:
speed
which
information
propagates
from
one
or
few
initiators,
positions
escaping
relation
previous
state
(hysteresis).
Methods in Ecology and Evolution,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Nov. 25, 2024
Abstract
Collective
motion,
that
is
the
coordinated
spatial
and
temporal
organisation
of
individuals,
a
core
element
in
study
collective
animal
behaviour.
The
self‐organised
properties
how
group
moves
influence
its
various
behavioural
ecological
processes,
such
as
predator–prey
dynamics,
social
foraging
migration.
However,
little
known
about
inter‐
intra‐specific
variation
motion.
Despite
significant
advancement
high‐resolution
tracking
multiple
individuals
within
groups,
providing
motion
data
for
animals
laboratory
field,
framework
to
perform
quantitative
comparisons
across
species
contexts
lacking.
Here,
we
present
swaRmverse
package.
Building
on
two
existing
R
packages,
trackdf
swaRm
,
enables
identification
analysis
‘events’,
presented
Papadopoulou
et
al.
(2023),
creating
unit
comparison
datasets.
We
describe
package's
structure
showcase
functionality
using
datasets
from
several
simulated
trajectories
an
agent‐based
model.
From
positional
time‐series
(x‐y‐t‐id),
identifies
events
based
distribution
polarisation
speed.
For
each
event,
suite
validated
biologically
meaningful
metrics
are
calculated,
placed
into
‘swarm
space’
through
dimensional
reduction
techniques.
Our
package
provides
first
automated
pipeline
enabling
allows
calculation
use
complex
users
without
strong
background
will
promote
communication
data‐sharing
disciplines,
standardising
quantification
promoting
comparative
investigations.
