This
paper
proposes
a
framework
for
comprehending
the
integration
of
Artificial
Intelligence
(AI)
as
Augmented
Cognition
(AugCog).
AugCog
is
viewed
an
emergent
bio-cultural
process,
reflecting
AI's
design,
implementation,
and
usage.
Section
1
establishes
smart
societies
complex
system.
2
defends
that
development
AI
analogous
to
biological
process
niche
construction.
3
defines
socioculturally
embodied
expansion
by
which
shaped
shapes
human
experience,
resulting
in
various
forms
AugCog.
4
highlights
mixed
realities
such
social
media,
neurotechnology,
environments,
illustrating
its
emergence
from
multiscale
interdependent
sociocultural
perspectives.
AugCog's
perspective
situates
species
state
space
evolution,
signifying
our
existence
individuals.
Abstract
In
this
paper
we
assess
the
functionality
and
therapeutic
potential
of
ambient
smart
environments.
We
argue
that
language
affordances
alone
fails
to
do
justice
peculiar
technology,
draw
from
theoretical
approaches
based
on
free
energy
principle
active
inference.
environments
should
be
understood
as
playing
an'upstream'
role,
shaping
an
agent's
field
in
real
time,
adaptive
way
supports
optimal
grip
a
affordances.
characterise
using
precision
weighting,
terms
allostatic
control,
drawing
analogy
with
role
weighting
metacognitive
processes.
One
key
insight
present
is
may
support
control
not
only
by
simplifying
problem
space,
but
increasing
uncertainty,
order
destabilise
calcified,
sub-optimal,
psychological
behavioural
patterns.
short,
lay
empirically-grounded
foundation
for
understanding
environments,
answering
related
philosophical
questions
around
agency,
trust,
subjective
wellbeing.
Abstract
This
article
applies
the
thesis
of
extended
mind
to
ambient
smart
environments.
These
systems
are
characterised
by
an
environment,
such
as
a
home
or
classroom,
infused
with
multiple,
highly
networked
streams
technology
working
in
background,
learning
about
user
and
operating
without
explicit
interface
any
intentional
sensorimotor
engagement
from
user.
We
analyse
these
context
work
on
“classical”
mind,
conditions
“trust
glue”
phenomenal
transparency,
find
that
ill-suited
describing
our
then
draw
active
inference
framework,
theory
brain
function
which
casts
cognition
process
embodied
uncertainty
minimisation,
develop
version
grounded
ontology,
where
boundaries
understood
be
multiple
always
shifting.
Given
this
more
fluid
account
we
argue
environments
should
thought
allostatic
control
systems,
less
invisibly
support
agent’s
biological
capacity
for
minimising
over
interlocking
timescales.
Thus,
functionality
so
doing,
utilise
markedly
different
classical
mind.
Wicked
problems,
such
as
climate
change,
systemic
poverty,
and
healthcare
inequalities,
rep-
resent
the
most
pressing
intractable
challenges
facing
society
today.
We
propose
a
novel
approach
that
leverages
complex
systems
theory
comprehensive
framework
for
understanding
tackling
these
challenges.
By
applying
concepts
state
space
analysis,
attractors,
nonlinear
dynamics,
we
offer
sophisticated
toolkit
mapping
intricate
web
of
interactions
defining
wicked
problems
exploring
potential
interventions.
Our
moves
beyond
tradi-
tional
reductionist
methods,
embracing
inherent
complexity
dynamism
issues.
demonstrate
how
this
can
lead
to
more
nuanced,
adaptive,
effective
strategies
addressing
persistent
societal
problems.
Despite
prevalence
avail-
ability
theory,
practical
applications
remain
uncommon.
This
paper
aims
bridge
gap,
illustrating
transform
our
engagement
with
pave
way
robust,
holistic
solutions.
synthesizing
insights
from
mathematics,
physics,
social
sciences,
present
transdisci-
plinary
promises
revolutionize
conceptualize
address
society’s
challenging
This
paper
explores
the
brain-behavior
relationship,
integrating
embodiment,
enactment,
and
dynamical
processes.
The
classical
hypothesis
offers
a
mathematical
framework
for
describing
state
space
trajectories.
These
abstract
processes
benefit
from
understanding
systems
as
embodied
enactive
–
what
we
shall
call
Complexity
Hypothesis.
Reconciling
dynamics
embodiment
remains
challenge.
We
analyze
psychological
phenomena
apply
complex
theory
to
elucidate
dynamics.
then
bridge
gap
between
behavior
neural
activity
highlight
mutual
influence
affection
these
levels
of
abstraction
providing
basis
future
research
in
cognitive
science.
This
article
applies
the
thesis
of
extended
mind
to
ambient
smart
environments.
These
systems
are
characterised
by
an
environment,
such
as
a
home
or
classroom,
infused
with
multiple,
highly
networked,
streams
technology
often
working
passively
in
background,
learning
about
user
and
operating
without
explicit
interface
any
sensorimotor
engagement
from
user.
We
analyse
these
context
classical
work,
conditions
“trust
glue”
phenomenal
transparency,
find
that
ill-suited
describing
our
then
draw
active
inference
framework,
theory
brain
function
which
casts
cognition
process
uncertainty
minimisation,
develop
version
grounded
ontology,
where
boundaries
understood
be
multiple
always
shifting.
Given
this
more
fluid
account
mind,
we
argue
environments
should
thought
allostatic
control
systems,
less
invisibly
support
agent’s
biological
capacity
for
minimising
over
interlocking
timescales.
Thus,
functionality
so
doing,
provide
markedly
new
mind.
Wicked
problems,
such
as
climate
change,
systemic
poverty,
and
healthcare
inequalities,
rep-
resent
the
most
pressing
intractable
challenges
facing
society
today.
We
propose
a
novel
approach
that
leverages
complex
systems
theory
comprehensive
framework
for
understanding
tackling
these
challenges.
By
applying
concepts
state
space
analysis,
attractors,
nonlinear
dynamics,
we
offer
sophisticated
toolkit
mapping
intricate
web
of
interactions
defining
wicked
problems
exploring
potential
interventions.
Our
moves
beyond
tradi-
tional
reductionist
methods,
embracing
inherent
complexity
dynamism
issues.
demonstrate
how
this
can
lead
to
more
nuanced,
adaptive,
effective
strategies
addressing
persistent
societal
problems.
Despite
prevalence
avail-
ability
theory,
practical
applications
remain
uncommon.
This
paper
aims
bridge
gap,
illustrating
transform
our
engagement
with
pave
way
robust,
holistic
solutions.
synthesizing
insights
from
mathematics,
physics,
social
sciences,
present
transdisci-
plinary
promises
revolutionize
conceptualize
address
society’s
challenging
Advances in computational intelligence and robotics book series,
Год журнала:
2024,
Номер
unknown, С. 261 - 296
Опубликована: Сен. 27, 2024
In
today's
smart
world,
the
Internet
of
Things
network
has
effectively
been
able
to
provide
a
comfortable
daily
life
everyone.
Smart
home
automation
systems
are
one
most
frequently
adopted
mechanisms
have
modern
and
effective
lifestyles.
It
refers
machine-to-machine
communications
that
can
be
efficiently
controlled
by
using
remote
networks.
A
defined
comparison
will
presented
across
society
researchers
so
novel
upcoming
successfully
free
from
all
vulnerabilities
challenges.
graphical
analysis
lead
solutions
for
better
energy
efficiency,
data
storage
mechanisms,
security
concerns.
To
exhibit
adequacy
possibilities
storage,
in
these
frameworks,
some
details
regarding
usage
hardware
like
sensors
also
discussed.
This
book
chapter
keen
information
actual
benefits
as
well
drawbacks
progressive
society.
