IEEE Transactions on Molecular Biological and Multi-Scale Communications,
Journal Year:
2023,
Volume and Issue:
9(2), P. 246 - 256
Published: May 1, 2023
Living
systems
face
both
environmental
complexity
and
limited
access
to
free-energy
resources.
Survival
under
these
conditions
requires
a
control
system
that
can
activate,
or
deploy,
available
perception
action
resources
in
context
specific
way.
In
Part
I,
we
introduced
the
principle
(FEP)
idea
of
active
inference
as
Bayesian
prediction-error
minimization,
show
how
problem
arises
systems.
We
then
review
classical
quantum
formulations
FEP,
with
former
being
limit
latter.
this
accompanying
II,
when
are
described
executing
driven
by
their
flow
always
be
represented
tensor
networks
(TNs).
TNs
implemented
within
general
framework
topological
neural
networks,
discuss
implications
results
for
modeling
biological
at
multiple
scales.
Interface Focus,
Journal Year:
2023,
Volume and Issue:
13(3)
Published: April 14, 2023
The
aim
of
this
paper
is
to
introduce
a
field
study
that
has
emerged
over
the
last
decade,
called
Bayesian
mechanics.
mechanics
probabilistic
mechanics,
comprising
tools
enable
us
model
systems
endowed
with
particular
partition
(i.e.
into
particles),
where
internal
states
(or
trajectories
states)
system
encode
parameters
beliefs
about
external
their
trajectories).
These
allow
write
down
mechanical
theories
for
look
as
if
they
are
estimating
posterior
probability
distributions
causes
sensory
states.
This
provides
formal
language
modelling
constraints,
forces,
potentials
and
other
quantities
determining
dynamics
such
systems,
especially
entail
on
space
statistical
manifold).
Here,
we
will
review
state
art
in
literature
free
energy
principle,
distinguishing
between
three
ways
which
been
applied
path-tracking,
mode-tracking
mode-matching).
We
go
examine
duality
principle
constrained
maximum
entropy
both
lie
at
heart
discuss
its
implications.
Physics Reports,
Journal Year:
2023,
Volume and Issue:
1024, P. 1 - 29
Published: June 1, 2023
This
paper
provides
a
concise
description
of
the
free
energy
principle,
starting
from
formulation
random
dynamical
systems
in
terms
Langevin
equation
and
ending
with
Bayesian
mechanics
that
can
be
read
as
physics
sentience.
It
rehearses
key
steps
using
standard
results
statistical
physics.
These
entail
(i)
establishing
particular
partition
states
based
upon
conditional
independencies
inherit
sparsely
coupled
dynamics,
(ii)
unpacking
implications
this
inference
(iii)
describing
paths
variational
principle
least
action.
Teleologically,
offers
normative
account
self-organisation
optimal
design
decision-making,
sense
maximising
marginal
likelihood
or
model
evidence.
In
summary,
world
systems,
we
end
up
sentient
behaviour
interpreted
self-evidencing;
namely,
self-assembly,
autopoiesis
active
inference.
Trends in Cognitive Sciences,
Journal Year:
2023,
Volume and Issue:
28(2), P. 97 - 112
Published: Nov. 15, 2023
Prominent
accounts
of
sentient
behavior
depict
brains
as
generative
models
organismic
interaction
with
the
world,
evincing
intriguing
similarities
current
advances
in
artificial
intelligence
(AI).
However,
because
they
contend
control
purposive,
life-sustaining
sensorimotor
interactions,
living
organisms
are
inextricably
anchored
to
body
and
world.
Unlike
passive
learned
by
AI
systems,
must
capture
sensory
consequences
action.
This
allows
embodied
agents
intervene
upon
their
worlds
ways
that
constantly
put
best
test,
thus
providing
a
solid
bedrock
is
–
we
argue
essential
development
genuine
understanding.
We
review
resulting
implications
consider
future
directions
for
AI.
Physics of Life Reviews,
Journal Year:
2024,
Volume and Issue:
49, P. 40 - 70
Published: Jan. 21, 2024
A
paradigmatic
account
may
suffice
to
explain
behavioral
evolution
in
early
Homo.
We
propose
a
parsimonious
that
(1)
could
particular,
frequently-encountered,
archeological
outcome
of
behavior
Homo
—
namely,
the
fashioning
Paleolithic
stone
'handaxe'
from
biological
theoretic
perspective
informed
by
free
energy
principle
(FEP);
and
(2)
regards
instances
as
postdictive
or
retrodictive,
circumstantial
corroboration.
Our
proposal
considers
humankind
evolving
self-organizing
ecosystem
at
geological
time-scale.
offer
narrative
treatment
this
self-organization
terms
FEP.
Specifically,
we
indicate
how
'cognitive
surprises'
underwrite
an
propensity
express
sporadic
unorthodox
anomalous
behavior.
This
co-evolutionary
has
left
us
legacy
artifacts
is
reminiscent
'snakes
ladders'
board
game
appearances,
disappearances,
reappearances
particular
traces
When
detected
Early
Middle
Pleistocene
record,
anthropologists
archeologists
often
imagine
evidence
unusual
novel
ascending
rungs
figurative
phylogenetic
'ladder'
if
these
corresponded
progressive
cognitive
abilities
enabled
incremental
achievements
increasingly
innovative
technical
prowess,
culminating
ascendancy
sapiens.
The
conjecture
overlooks
plausible
likelihood
individual
who
was
atypical
among
her
conspecifics
have
been
disregarded
community
Hominina
(for
definition
see
Appendix
1)
failed
recognize,
imagine,
articulate
potential
advantages
adopting
hitherto
Such
failure,
well
diverse
fortuitous
demographic
accidents,
would
cause
exceptional
personal
be
ignored
hence
unremembered.
It
disappear
pitfall,
down
'snake',
it
were,
evolutionary
game;
thereby
causing
discontinuity
human
presents
like
puzzle.
puzzle
discomforts
some
paleoanthropologists
trained
natural
life
sciences.
They
dismiss
it,
explaining
away
with
such
self-justifying
conjectures
that,
maybe,
separate
paleospecies
differentially
possessed
different
abilities,
which,
supposedly,
for
presence
absence
record
skill.
argue
alternative
inherits
FEP
individual's
'active
inference'
about
its
surroundings
own
responses
affords
prosaic,
deflationary,
way
outcomes
skills
humankind.
Entropy,
Journal Year:
2024,
Volume and Issue:
26(3), P. 194 - 194
Published: Feb. 24, 2024
The
ideas
of
self-observation
and
self-representation,
the
concomitant
idea
self-control,
pervade
both
cognitive
life
sciences,
arising
in
domains
as
diverse
immunology
robotics.
Here,
we
ask
a
very
general
way
whether,
to
what
extent,
these
make
sense.
Using
generic
model
physical
interactions,
prove
theorem
several
corollaries
that
severely
restrict
applicable
notions
self-observation,
self-control.
We
show,
particular,
adding
observational,
representational,
or
control
capabilities
meta-level
component
system
cannot,
even
principle,
lead
complete
representation
whole.
conclude
self-representation
can
at
best
be
heuristic,
self
models
general,
empirically
tested
by
systems
implement
them.
We
argue
here
that
the
Origin
of
Life
(OOL)
problem
is
not
just
a
chemistry
but
also,
and
primarily,
cognitive
science
problem.
When
interpreted
through
lens
Conway-Kochen
theorem
Free
Energy
Principle,
contemporary
physics
characterizes
all
complex
dynamical
systems
persist
time
as
Bayesian
agents.
If
persistent
are
to
some
–
perhaps
only
minimal
extent
cognitive,
alive,
or
living
subset
systems?
no
bright
line
can
be
drawn,
we
re-assess,
from
this
perspective,
Fermi
paradox
Drake
equation.
conclude
improving
our
abilities
recognize
communicate
with
diverse
intelligences
in
embodiments,
whether
based
on
familiar
biochemistry
not,
will
either
resolve
obviate
OOL
Neuroscience of Consciousness,
Journal Year:
2025,
Volume and Issue:
2025(1)
Published: Jan. 1, 2025
Abstract
This
paper
examines
the
constraints
that
free-energy
principle
(FEP)
places
on
possible
model
of
consciousness,
particularly
models
attentional
control
and
imaginative
experiences,
including
episodic
memory
planning.
We
first
rehearse
classical
quantum
formulations
FEP,
focusing
their
application
to
multi-component
systems,
in
which
only
some
components
interact
directly
with
external
environment.
In
particular,
we
discuss
role
internal
boundaries
have
structure
Markov
blankets,
hence
function
as
information
channels
between
components.
then
show
how
this
formal
supports
experience,
a
focus
(i)
experience
can
employ
spatio-temporal
object-recognition
reference
frames
employed
ordinary,
non-imaginative
(ii)
be
internally
generated
but
still
surprising.
conclude
by
discussing
implementation,
phenomenology,
phylogeny
implications
large
state
trait
variability
humans.
IEEE Transactions on Molecular Biological and Multi-Scale Communications,
Journal Year:
2023,
Volume and Issue:
9(2), P. 235 - 245
Published: May 1, 2023
Living
systems
face
both
environmental
complexity
and
limited
access
to
free-energy
resources.
Survival
under
these
conditions
requires
a
control
system
that
can
activate,
or
deploy,
available
perception
action
resources
in
context
specific
way.
In
this
Part
I,
we
introduce
the
principle
(FEP)
idea
of
active
inference
as
Bayesian
prediction-error
minimization,
show
how
problem
arises
systems.
We
then
review
classical
quantum
formulations
FEP,
with
former
being
limit
latter.
accompanying
II,
when
are
described
executing
driven
by
their
flow
always
be
represented
tensor
networks
(TNs).
TNs
implemented
within
general
framework
topological
neural
networks,
discuss
implications
results
for
modeling
biological
at
multiple
scales.
