►
From YouTube: DevoWorm (2020, Meeting 13): Task and paper review, John Conway RIP, and OpenDevoCell redesign
Description
DevoWorm meeting: April 13, 2020. Attendees: Richard Gordon, Ujjwal Singh, Bradly Alicea, Vinay Varma, and Steve McGrew
A
B
B
C
B
B
Yeah
lawsuit
filed
above
zoom
yeah
they
well,
they
just
like.
They
have
security
issues
with
like
you
know,
if
I
think
there
is
one
incidence
where,
like
people
were
popping
random
way
into
other
meetings,
because
security
flaw
in
the
software
that
was,
you
know
stuff
like
that,
so
I
guess
there
was
some
yeah
I
mean
sometime.
Probably
this
stuff
like
this.
D
C
B
B
We'll
get
started,
I
guess
welcome
to
the
meeting,
it's
Monday
of
course
my
morning,
so
we
usually
get
every
crowd.
I
mean
we
get,
will
record
it
for
people
to
watch
it
later.
We
don't
really
have
anything
specific
on
the
agenda
today.
I
just
wanted
to
go
through
a
bunch
of
different
things,
a
lot
of
papers
that
have
been
put
out
recently.
B
We
talked
about
John
Conway,
who
died
over
the
weekend
and
I
have
some
things
there
that
are
interesting,
generating
contribute
wants
to
do
a
short
presentation
on
his
on
his
he's,
been
mocking
up
the
website
for
the
group,
so
we'll
take
a
look
at
that
it
would
be
a
short
mock-up
session,
just
demonstrated
so
any
like
any
business.
We
want
to
talk
about
before
we
get
started
any
upcoming
of
answer.
B
B
We
had
a
blog
post
for
open
data
day
that
was
a
while
back.
That
was
the
open
data
day
for
2024
deva
worm
just
affiliated
things
create
owv,
w
curriculum
on
Google
Scholar.
We
talked
about
that
last
week.
That
was
a
educational
update.
Some
of
the
materials
we
have
Jesse's
presentation
on
natural
selection
finds
natural
radiance
that
was
completed
several
weeks
ago.
B
B
B
Talk
about
specific
issues
that
they
might
have,
and
so
it's
always
good
to
have.
You
know
like
it's
like
a
code
review
type
thing
where
you're
you
do
something
a
little
weak
and
then
you
review
the
code
because
they're
being
paid
for
this
on
a
tight
schedule,
you
would
get
like
you
would
have
to
do
like
a
very
succinct
review
of
your
work.
B
So
I
will
put
those
on
the
schedule,
though,
as
we
get
closer
to
that
time
and
then,
of
course,
as
well
presented
on
his
progress
on
copy
cell
3d,
and
so
those
are
all
finished
in
progress.
We
have
a
number
of
things
here.
We
have
the
XO
model
operating
animations
and
segmentations.
That's
number
25.
We
don't
really
have
it
assigned
any
one
thing.
B
Coach
wolf
was
showing
me
some
animations
he's
done,
so
maybe
that's
something
we
can
update
in
the
near
future
and
then
to
make
google
Summer
of
Code
selections,
something
that
is
going
on.
You
can't
publicize
that
at
all
it's
going
on
in
a
separate
Channel,
but
that's
ongoing
in
theory
for
developmental
processes.
So
that's
a
paper
that
right
now
I'm
trying
to
negotiate
with
someone
to
write
this.
B
Talk
about
what
that
involves.
If
people
want
to
contribute
different
air
sections
to
the
paper,
but
I
have
to
get
it,
you
may
have
to
get
at
least
two
out
line
a
rough
outline
before
you
propose
that
someone
can
work
on
a
paper,
and
that
goes
for
anyone
here.
If
you
want
to
write
a
group
paper,
if
you
want
input
from
people,
please
propose
some
things
you
can
do.
You
know
write
an
outline
and
you
know
show
it
at
the
group
meetings-
and
you
know
people
might
agree
to
you
know,
contribute
some
sections.
B
We
were
doing
that
in
in
a
prior
meeting
with
the
Bessel
area.
Behavior
paper,
you
know
we're
just
kind
of
like
it-
has
an
outline
and
we
usually
do
it
on
github,
but
we're
on
Google
Docs.
So
if
you
have,
if
you
want
to
do
in
Google,
Docs
fine,
you
can
do
it
on
github,
where
people
just
put
texture
or
markdown
in
a
file
and
push
their
pull
request
to
you
as
the
leader
of
that
paper.
B
That's
up
to
you,
but
you
know
this
is
a
sort
of
hybrid
of
paper
we
like
to
do
in
this
group,
and
so
that's
that'll
come
in
the
near
future,
create
diva
warm
ml
on
Google
classroom.
This
is
what
was
behind
this
one
here,
number
23,
but
again,
that's
probably
should
be
put
in
finished,
although
I'm
not
really
finished,
with
putting
the
basic
outline
together
on
that
copy,
you
saw
3d
model
for
C
elegans
development.
That's
associated
with
this
thing
that
usual
present
it.
B
So
maybe
we'll
get
some
picture
updates
from
him
on
that
scheduled
presentations
open.
This
is
the
paper.
I
was
telling
you
about
the
best
where
a
non-neuronal
cognition
paper,
the
embryo
physics
archive,
which
is
another
education,
related
thing.
It's
a
bunch
of
lectures
and
we
show
I
showed
you
that
last
week,
we'd
had
a
discussion
on
that
the
review
axolotls
adam
USB
drive.
I
showed
that
last
week
that
was
from
season
that
maybe
should
go
into
finish,
but
I'll
think
about
that.
We
still
have
to
do
some
further
discussion
on
that.
B
B
I
can
send
a
link
out
to
people
after
the
meeting
so
about
ten
years
ago
he
wrote
this
paper
about
like
the
Google
embryo,
which
would
look
like
Google
Earth
its
surface
of
the
embryo
or
sections
of
the
embryo
and
plot
them
out
in
a
browser
just
like
they
do
with
Google
Earth.
So
the
surface
of
the
earth
is
you
can
go
across
the
surface
of
the
earth
with
Google
Earth,
you
can
go.
B
You
know
scroll
different
topo,
quad
map
sections
and
they're
presented
serially
and
they're
presented
on
a
sphere
now
the
idea
of
Google
embryo
and
so
never
always
came
to
be
as
an
artifact
as
a
sufferer,
in
fact,
but
that's
something
that
you
now
have
this
X
alot
of
data,
that's
isn't
presented
and
it's
a
special
type
of
data
where
we
have
where
the
embryo
is
flipped
in
the
course
of
imaging.
So
you
start
at
the
bottom,
the
embryos
flipped
over
and
you
get
the
entire
sequence
from
top
to
bottom
or
from
bottom
to
top.
B
It's
so
I,
don't
know
if
we
can
do
what
dick
wants
with
it
I
mean
you
know
or
or
try
to
figure
out
ways
to
do
that.
So
it's
a
nice
vision,
we'll
see
if
we
can
do
it,
but
we're
still
working
on
it.
So
I
never
I
follow
up
on
that
from
last
week,
but
I
think
that's
something
that
we
can
talk
about
some
more
and
maybe
get
something
going
on.
There
get
some
momentum.
B
B
B
Are
there
papers,
like
I,
said
we
have
a
couple
of
group
papers
that
were
contributing
to
so
maybe
and
I?
Don't
have
them
today
up
and
ready
to
go,
but
we
should
make
an
inventory
of
those
papers
for
people
to
maybe
contribute
to.
Maybe
that's
a
good
thing
for
like
a
github,
like
maybe
a
readme
in
the
group
meetings.
B
Just
so
we
can
keep
track
of
them,
and
then
you
know
people
who
would
be
invited
to
them
if
they
want
to
work
on
something
so
we'll
have.
Maybe
you
know
like
something
like
a
markdown
file
or
have
links
to
each
paper.
You
know
Google,
Docs
or
github,
and
then
you
can
request
access
and
then
make
your
contributions.
I
don't
want
to
make
it
totally
open
because
you
never
know
who
might
like
decide
to.
You
know
put
some
garbage
in
the
paper.
B
B
So
we
need
to
take
like
the
images
and
create
like
titles
or
flat
surfaces
or
something
that
we
can
like.
Trance
translate
from
that
sphere
that
we're
imaging
in
2d
to
this
flat
surface
map
that
would
give
you
you
know
this
ability
to
navigate
it.
I,
don't
know
a
lot
about
that
sort
of
technology,
but
that's
something
we're
gonna
try
to
do
it's.
B
B
Embryo
bodies
and
things
like
that,
it's
it's
kind
of
an
interesting
thing
about
Metroid
there.
Yet
there's
some
other
things
here:
the
CT
computed
tomography
via
cloud
computing.
Is
this
a
question
I
think
posed
a
couple
weeks
ago
to
the
group
and
no
no
I
took
him
up
on
his
offer,
but
it
still
stands.
There's
I
think
in
one
of
the
meetings
on
YouTube
there's
a
bit
about
it,
where
he
talks
about
this
challenge
that
he
has
for
people
to
be
able
to.
He
actually
wanted
people
to
think
about
in
terms
of
machine
learning.
B
E
B
And
then
so,
then,
just
to
finish
up
these
tasks,
there's
another
lecture
I
wanted
to
do
in
some
statistical
methods,
ill
do
them
in
a
couple
weeks,
maybe
there's
a
thing
of
complexity,
measures
which
I
found
in
our
files
from
a
long
time
ago,
something
that,
if
we'll
talk
about
someone's
interested,
we
can
pull
up
this
issue
and
talk
about
it
in
a
future
meeting.
They're,
just
measures
of
like
measuring
complexity
and
development
or
in
embryology
and
I-
think
we're
actually
talking
about
this
in
terms
of
diatoms.
B
But
I
can
pull
up
our
notes
on
that
if
anyone's
interested
and
that,
of
course,
the
embryo
visualization
for
docker.
That
is
a
open
issue.
We
talked
about
this
in
a
previous
meeting
where
we
wanted
to
create
a
visualization
for
the
open
wound,
docker
file,
and
ideally
it
would
be
some
sort
of
program
that
would
be
executed
in
in
their
doctor
file,
but
it
could
be
just
an
animation.
B
E
B
B
B
B
Due
to
the
change
character
of
gene
transfer,
each
gene
with
an
adaptive
mutation
is
the
spread
among
numerous
existing
clones
creating
further
their
new
clones
in
the
process.
Let's
make
the
propagation
far
faster
than
elimination
in
such
genes
become
practically
immortal
from
a
kind
of
bias
for
genes.
I
met
all,
moreover,
not
all
the
rust
a
significant
fraction
of.
B
However,
they're
soft
enough
to
be
subject
to
natural
selection,
and
so
they
talked
about
met
this
mechanism
protesting
repressed
genes
for
adaptability,
can
be
thought
of
as
shuffling
a
deck
of
genes.
By
analogy
with
shuffling
a
deck
of
cards
in
the
air,
Cain
and
protozoa
tear
yawns,
both
bgp,
which
is
this
bias,
fear
gene
pool
and
the
operational
part
of
each
genome
was
rather
poor
and
the
probability
of
incorporation
of
randomly
expressed
genes
and
the
operational
part
of
the
genome
was
very
small.
B
So,
accordingly,
biological
evolution
during
easy
and
slow
to
to
advance
due
to
rare
adaptive
mutations.
So
this
explains
away
the
realm
of
prokaryotes
as
the
sole
organisms
on
earth
lasted.
So,
and
so
this
is
this
question
of
like
the
sort
of
the
Temple
of
the
Tree
of
Life,
where
you
get
some,
you
know
major
division
in
the
tree,
and
then
it
takes
a
long
time
for
another
division
to
half.
B
Biosphere,
gene
pool
through
gene
transfer
from
prokaryotes
that
live
in
these
multicellular
organisms.
Perhaps
this
was
the
cause
of
the
Cambrian
explosion
in
high
increasing
rate
of
evolution
of
phanerozoic
eon
compared
with
the
archean
and
proterozoic.
So
this
is
again
with
the
temple
of
evolution.
B
A
B
Of
estimators
here
to
generate
these
graphs
so
rate
of
biological
evolution
by
era.
So
let's
see
that
the
argument
is
is
that
there
is
a
relatively
low
rate
of
evolutions
for
most
of
the
history
of
early
waste
and
then,
as
we
get
into
the
modern
era,
which
would
be
considered
to
be
after
the
Cambrian
explosion.
You
see
this
increase
in
the
rate
of
biological
evolution.
C
F
B
F
B
B
B
Okay,
relative
rate,
which
is
these
y
axis
here,
is
the
relation
of
sum
of
duration
of
all
the
arrows
total
duration
of
the
existence
of
life
T
on
earth
or
four
billion
years
to
the
duration
of
each
era.
In
other
words,
it
gives
an
equation
here:
R
sub
I
equals
T
over
D
sub.
I,
where
R
sub
I,
is
the
rate
of
evolution
and
the
ice
era.
So
each
of
these
eras.
So
it's
a
fractional
measure
and
then
di
is
the
duration
of
those
I
theta.
B
So
it's
like
weighted
by
the
length
of
that
era
and
then
the
durations
are
taken
from
table
1.
So
the
idea
would
be
basically
that
there
would
be
like
an
accumulation
of
changes
and
then
over
a
certain
time
period,
and
then
you
would
kill,
eat
that
rate
and
then
that
there's
a
relative
which
is
like
you
know,
compared
to
away
the
other
eras,
it's
kind
of
a
normalization.
B
You
can't
get
like
a
molecular
clock
and
I'm
talking
about
in,
like
a
you
know,
like
maybe
a
molecular
study,
they
can't
get
a
molecular
clock.
They'll
just
maybe
make
an
estimation
from
like.
Maybe
the
time
of
a
common
ancestor
and
they'll
sort
of
you
know
calculate
how
many
mutations
are
present
in
each
descendant.
Species
is
enough.
That
calculates
are
great,
I
mean
there's
a
real
there's,
a
lot
more
to
it
than
that.
That's
basically
the
way
people
usually
do
these
calculations
and.
B
Context
and
something
like
this,
you
calculate
the
number
of
changes
over
a
certain
time
period.
You
didn't
mind,
like
a
rate,
you
know,
that's
really.
We
don't
know
for
sure
because
it's
you
know,
mutations
are
random,
so
you
get
things
happening.
You
get
a
bunch
of
mutations
happen
within
a
hundred
years
and
then
maybe
very
few
for
a
couple
hundred
more
errors,
and
then
you
know,
but
we
have
this
sort
of
clock
we're
trying
to
construct
to
say
this
is
the
rate
of
evolution.
B
B
B
There
can
be
three
and
only
three
consequences,
and
then
they
talk
about
those
consequences.
Then
they
talked
about
horizontal
gene
transfer,
being
a
chain
reaction
and
the
immortality
of
adaptive
genes.
So
these
genes
get
propagated
through
a
horizontal
being
transfer
and
if
they're
adaptive
they
become,
you
know
proliferative
and
they
stick
around.
B
B
Each
step
of
HGT
is
a
genes
bomb
in
a
jeans
bomb,
never
the
term
before
it's
related
to
the
atomic
bomb,
so
basically
horizontal
gene
transfer,
as
this
chain
reaction,
leads
to
some
sort
of
explosive
process
and
that's
where
this
adaptive
radiation
occurs
of
some
type.
So
this
is
several
explosion
in
the
genes.
I
mean
I,
like
the
language
here
is
kind
of
interesting
I,
don't
know,
I
mean
you
know
it's
like
I
said
you
have
to
get
into
the
paper
down
now
to
appreciate
it,
but
so
this
is
a
graph.
B
B
This
is
this
process
sort
of
put
into
a
tree
version
a
tree
visualization,
so
biological
evolution
shuffling
of
the
deck
of
genes.
So
they
talk
about
this
process
of
shuffling.
So
this
is
something
that
happens
in
stochastic
processes,
so
they
suggest
three
categorical,
horizontal
gene
transfer
in
prokaryotes
a
is
a
repressible
gene
in
clone
a
is
copied
bear
to
Colby,
resulting
in
clone
C
with
that
gene.
B
B
The
characteristic
time
of
such
shuffling
is
determined
by
one
of
the
hgts
that
we
are,
as
we
already
estimated,
is
on
the
order
of
weeks
or
even
just
hours.
But
that
estimate
relates
the
transfer
between
individuals
which
were
not
spatially
separated,
and
so
there
are
a
lot
of
things
to
take
into
account,
but
their
model
basically
shows
this
kind
of
shuffling
process
and
how,
when
you
shuffle
genes
between
genomes,
you
have
a
couple
different
outcomes
potentially.
B
Yeah
figure
five
of
these
phases
of
shuffling,
so
you
have
gene
transfer
inside
of
an
ecological
niche
and
then
shuffling
among
ecological
niches,
and
then
we
have
this.
This
sort
of
arrangement
here
so
on
shelf
means
a
set
of
structural
genes,
an
operational
part
of
each
genome
that
belongs
to
clones
from
the
same
ecological
niche
in
stock
of
the
set
of
all
potential
operational,
but
repressed
genes
and
genomes
that
belong
to
clones
from
the
same
ecological
niche,
an
in
assortment
set
of
all
potential
operational
genes
and
the
bias
fear
gene
pool.
B
B
Maybe
you
know
if
someone
wants
to
present
on
it,
they
can
want
to
go
longer
on
it
and
that
just
includes
anyone
in
the
group.
If
that's
something
that
you
want
to
do,
but
we
did
it.
That's
a
good
paper
I
like
it.
It's
very
dense
because
you
know
what
those
dense
papers,
where
there's
a
lot
of
a
theoretical
content,
Acton's
paper.
So
it's
good
so
now
I
think
I
want
to
move
on
to
this
John
Conway
material,
so
John
Conway
was
a
mathematician.
He
died
this
weekend
and
people
immediately
create
tributes
to
him.
B
So
John
Conway
was
a
mathematician
who
developed
the
game
of
life.
So
if
you're
familiar
with
the
game
of
life,
which
is
a
cellular
automata,
it's
that's
what
he
was
known
best
known
for,
but
he
actually
has
a
lot
of
other
mathematical
proofs
and
ideas
that
he
was
responsible
for
her.
So
he's
he's
got
a
pretty
long
list
of
things
that
he
did
in
his
life.
B
You
know
the
you
know
it's
like
you
could
play
a
pattern
matching
game,
but
the
thing
moved
across
the
array
so
not
only
emerged
as
a
as
a
pattern
that
you
could
recognize,
but
it
would
emerge
it
would
move
across
the
array
exhibit
these
sort
of
lifelike
behaviors.
It's
really
interesting.
You
know
it's
a
really
interesting
platform.
There's
a
number
of
different
software
instantiations
this
picture.
What
this
is.
G
B
So
you,
like
the
study
of
knots
as
a
mathematical
Aryan
itself,
contribute
in
that
area
I.
This
is
a
cartoon.
This
is
the
game
of
life,
so
this
is
again
hey.
One
of
the
lights
went
out.
Wasn't
supposed
to
do
that,
yet
so
the
white,
the
lights
are.
The
cells
that
are
turned
on
DNA
and
blue
cells
are
the
ones
that
are
turned
off
and
the
idea
is
that
these
change
dynamically
over
time
and
it
changes
the
sort
of
the
patterns
that
emerge,
and
you
know
their
movement
and
all
this
other
stuff.
B
So
it's
that
was
a
play
on
his
game
of
life.
Let's
see
this
is
another
cartoon
that
I
have
here.
So
one
of
the
things
about
the
game
of
life
is
it's
not
only
a
nice
simulation
of
life,
but
it's
something
they
call
a
zero
a
player
game.
If
you
know
anything
about
game
theory,
this
is
something
that's
a
zero
player
game,
as
opposed
to
like
one
player
game
or
an
end
player.
So
chess
is
a
two-player
game.
One
player
game
is
something
like
good
example.
B
One
clear
game
like
a
game
against
nature,
where
you're
maybe
trying
to
predict
what
a
slot
machine
is
going
to
do
or
what
the
weather
is
going
to
do.
And
then
this
is
a
zero-order
game
or
a
zero
player
view
where
you
don't
actually
have
a
player
per
se,
but
there's
a
game,
theoretic
formulation
we
can
make.
So
you
have
cells
that
are
turning
on
and
off
against
a
stochastic
background
and
you're,
just
as
a
player
you're.
Actually,
as
someone
who
you're
just
an
observer
to
the
game,
you
don't
play
the
game.
B
These
cells
are
playing
a
game
against
nature,
and
so
it's
a
zero
order.
It's
a
zero
player
game,
and
so
this
is
a
nice
cartoon
where
it
kind
of
demonstrates
the
game
of
life
or
no
growth
drew
up.
This
comic
I.
Don't
have
the
attribution
right
on
this,
but
I
think
you
can
reverse
Google
search
doesn't
find
it.
B
B
B
It's
really
yeah
I
can't
get
this
to
run,
but
it's
there
we
go.
So
this
is
what
looks
like
in
real
life.
When
you
run
the
simulation-
and
you
know
you
can
write
in
different
languages
so
but
you
know
some
sort
of
pattern
propagating
and
there's
also
movement,
and
you
get
gliders
which
are
very
shown
here.
Maybe
these
ends
are
gliders.
They
don't
know
how
you
classify
them,
but
that's
what
it
looks
like.
That's
really
fun
and,
like
you
know
so,
there's
the
game
of
life
and
it's
its
mysteries.
B
B
So
this
is
arguing
that
you
have
this
sort
of
cognitive
domain,
that
you
can
extract
from
the
game
of
life,
so
they're
just
looking
at
a
glider
in
the
simulation
and
they
take
an
autopoietic
perspective,
which
is
something
that
is
a
derivative
of
cybernetics,
and
this
is
a
study
on
sort
of
the
cognitive
domain
of
a
glider
in
the
game
of
life
and
they
go
through
all
these
have
some
cognition.
They
go
through
the
glider
other
places.
So
it's
like
a
process
this
you
know
sort
of
you're
familiar
with
embodiment.
B
Cognitive
domain,
so
there's
a
non-empty
environment,
gliders
undergo
an
endless
endlessly
repeating
sequence
of
state
changes
to
term
by
the
dimensions
of
dynamics.
However,
non-empty
environment
can
perturb
CK's
in
various
ways
and
so
in
in
Auto
fluid
on
the
autopoietic
framework,
an
entity's
cognitive
domain.
This
is
a
set
of
all
interactions
in
which
you
can
participate
without
loss
of
identity,
but
all
of
a
section
as
an
employee
characterizes
cognitive
domain.
So
this
is,
it
goes
on
about
this
different
domains
and
it's
a
pretty
good
paper.
B
If
you're
interested
you
can
follow
up
on
it
and
it
goes
over
the
behavioral
trajectories
it
look
wider
as
well
and
then
finally,
there's
a
paper,
give
you
an
idea:
the
diversity
of
things,
studies
surroundings
in
life.
This
is
a
game
of
life
in
the
epigenetic
principle.
So
this
is
where
they
study
this
to
look
at
it
for
the
evolution
of
methodological
communities,
so
they
apply
it
to
other
biological
processes,
including
some
bio
polices.
That's
a
version
of
Otto
places.
B
We
show
that
Conway's
organization
of
rules
reflects
the
epigenetic
principle
of
genetic
action
in
developmental
processes
or
inseparable
dimensions
of
a
single
biological
system,
and
so
they
look
for
similarities
and
differences
between
two
epi
genetic
models
by
Turing
Edelman
as
a
and
as
they
are
realized
in
the
game
of
life
objects,
and
so
this
is
again.
This
is
more
a
developmental
biology
type
of
application
of
this,
but
they
walk
through
their
explorations
here.
B
Its
way
of
looking
at
this,
so
this
is
all
I-
can
share
this
repository
with
people
in
the
chat
or,
if
you're,
watching
this
online.
You
can
send
me
a
message
or
you
could
send
me
you
can
look
at
it.
You
can
send
me
a
message.
I
can
send
you
the
link,
so
we
have.
Let's
see
we
have
some
care
I'm
gonna
present
on
this
today.
I
want
to
go
through
the
Chapman.
I
want
all
a
chance
to
present,
so
they
can
I
enlarge
the
view
of
the
paper.
B
B
B
We're
playing
against
any
can
be
play
against.
The
machine
is
a
one
player
game
technically
and
then
dick
are
Steve
is
gonna
leave
in
a
couple
minutes
here.
So
thanks
for
attending
Steve
and
then
sending
me,
the
cognitive
domain
I'll
send
out
a
link
to
that
directory
of
things.
So
right
as
well,
can
you
want
to
present
any
other
things?
If
you
need
to
leave
early,
it's
okay,
I'm
recording
this,
so
will
you
know,
will
be
available
to
everyone.
B
F
D
D
D
D
Like
glasses
glasses,
so
this
is
a
little
bit
of
history
about
they
won't
so
like
how
this
all
thing
has
we
started
in
doctors,
they
all
have
met
and
they
started
to
and
also
making
a
kind
of
interactive
game
which
you
can
play
on
that
using
your
arrow
keys
and
we
will
not
be
completed
by
the
end
of
this
week.
These
are
just
numbers
like
to
give
up
roll
over.
D
D
D
One
elderly
takes
all
the
help
that
are
going
to
be
published
by
our
group,
so
then
his
user,
who
is
using
about
yes,
so
like
this,
if
you
wants
to
some
of
it,
if
he
has
some
solutions
for
us,
if
he
wants
to
land
on
one
of
the
thing
which
comes
up
in
his
field,
he
can
pack,
you
send
us
a
message.
So,
let's
see
what
happens
when
you.
D
This
is
some
a
very
pious
model
or
data
set
which
suits
best
so
neck
right
now
we
have
two
kind
of
models
are
always
shaped
or
something
CWS
model
and
an
odd
shape.
My
castle
area
model,
so,
whichever
symbols
to
a
data
or
you
can
just
go
and
see
that
like.
If
you
have
a
more
oval
a
circle
type
paper,
you
can
apply
this
model
this
model.
Also,
I
am
trying
to
integrate
the
steps
for
the
pre-processing
which
are
needed
for
the
process
for
30
person
person.
D
To
add
data,
so
as
long
as
you
choose
this,
so
you
come
so
seated
in
your
stool,
so
this
is
something
where
you
can
browse
and
submit
so
right
now
it
is
not
connected
anywhere,
so
you
can
select.
Anything
is
not
as
loaded
because
it
is
not
connected
or
package
server
right
now
it
is
from
10
all
so
once
it
is
connected
to
pattern,
it
will
become
green.
It
shows
a
confirmation
like
yes,
the
other
thing
is
gonna
float
it.
You
click
on
submit
here.
The
results
of
an
image
will
be
there,
like.
D
You
can
download
output
images
CSV.
So
these
were
the
images.
This
is
one
of
the
design
to
me
that
is
produced
by
balarama.
Do
this
project
in
2009
TG
saw
so
they
are
the
different
options
that
you
charge
your
matrix
parameters,
click
on
view,
charts
and
view
these
parameters.
So
this
is
the
node.
It
is
not
completely
like.
We
don't
have
any
matrix
a,
but
it
is
a
overall
design
by
Howard,
so
I
am
doing
their
first
contact
and
also
in
the
parameters
you
have
I'm
going
to
get
multiple
options
to
edit
English.
D
D
Maytee
3d
models:
first,
you
don't
anyways
and
pacinator
model
and
will
try
to
M
by
hitting
the
website
itself,
so
that
person
can
be
in
3d
all
the
models
and
all
the
moving
stages
of
Emperor
so
like
this
is
the
update
for
me,
like
I,
particularly
want
to
get
your
reviews
on
it,
and
especially
on
these.
Like
this,
you
are
the
editor
images
you
can
just
put
it
as
etc.
So
I
will
appreciate
if
you
can
get
that
if
you
saw
that.
B
Yeah
I
mean
thank
you
for
the
presentation
here,
short
one
yeah.
If
people
want
to
you
don't
have
to
comment
now,
but
this
is
sort
of
the
thing
that
was
what
was
proposing
for
changes
to.
So
this
would
be
kind
of
a
new
face
to
the
so
I
wouldn't
really
be
like
revamping.
The
Bevo's
ooh
would
be
sort
of
like
putting
a
fresher
face
or
a
more
expansive
face
on
the.
B
Yeah
yeah
so
I
mean
I
like
the
idea
of
having
having
this
sort
of
pipeline
or
well
pipeline
aspect,
but
also
having
like
a
pre-processing
steps,
and
maybe
some
interpret
II,
which
is
of
course,
I
think
we
talked
about
India
warm
I'm
out
where
you're
trying
to
make
sure
that
when
people
use
this
tool,
because
this
is
more
of
a
community
endeavor,
you
know
people
will
come
in
and
want
to
contribute
and
they'll.
You
know
want
to
do
some
data
analysis,
perhaps
to
make
it
as
transparent
as
possible.
B
So
if
we
have
a
set
of
images-
and
they
want
to
you-
know
analyze
them,
we
can
a
plug-in
a
new
module.
You
know
it's
Offutt.
If
we
want
to
do
something
with,
you
know,
test
a
new
type
of
algorithm
or
try
out
some
new
techniques
or
have
some
images
that
are
it's
really
hard
to
classify
what
they
are.
You
know
biology
is
very
diverse
and
so.
D
Like
I'm
going
to
make
a
Python,
so
we
can
make
a
static.
Google
call
a
pages
where
we
can
put
our
own
library
and
we
can
show
them
like.
These
are
the
steps
you
have
to
go
through
and
feel
on
the
people
steps
where
they
have
to
just
click
on
the
Run
button,
and
they
can
all
the
people
sing
and
they
can
find
an
output.
So
it
is
not
going
to
be
the
final
output
that
they
are
going
to
temper.
D
B
B
You
know
we
I
guess
we
could
cater
to
like
proprietary
formats,
but
it's
a
little
harder
to
work
with
so
I
think,
maybe
just
to
make
like
a
standard
and
say
you
know
you
have
to
use.
You
know
some
sort
of
generic
movie
format
or
image
format,
and
that
would
be
the
way
to
input
data
because
there
are
a
lot
of
different
like
specialized
formats,
but
I
don't
know
if
that's
I
don't
know
her.
That
is
this
support.
B
Has
this
been
submitted?
Oh
the
diet
time.
Yes,
we
sent
that
over
to
yeah
that
should
have
been
sent
to
what's-his-name
a
while
back
I,
don't
know
yeah
I,
don't
know,
I
mean
as
far
as
I
know
yeah.
He
sent
me
a
confirmation,
email
so
and
then
we're
we're
waiting
comments
on
it
from
people.
I
sent
him
a
list
of
reviewers
and
we'll
see
it
was
a
while
back,
but
maybe
I
do
have
a
missing
month.
Yeah.
That
was
like
I
think
it
was
back
about
a
month
ago.
So.