Oxford University Press eBooks,
Journal Year:
2023,
Volume and Issue:
unknown, P. 89 - 104
Published: Oct. 5, 2023
Abstract
Biology
is
driven
by
self-referential
cognition,
which
cells
become
aware
of
the
uncertainties
environmental
cues.
Cells
evaluate
ambiguous
information
through
a
cellular
cycle
as
crucial
tool
problem-solving.
Since
all
imprecise,
must
measure
it.
A
senomic
architecture
supports
that
intricate
process
an
integral
component
its
management
system.
have
learned
validity
(measuring
value)
their
available
can
be
improved
shared
assessment.
This
basal
impulse
stimulating
factor
leads
to
multicellularity.
Consequently,
informational
ambiguity
constitutes
actual
driver
biological
and
evolutionary
development
reverberations
among
sentient
cells.
There
growing
recognition
biomolecular
processes
represent
flow
equates
with
energy
mobilization
useful
predictions.
However,
any
productive
requires
channelling.
The
epicentre
consciousness.
Accordingly,
are
interactomes.
As
conscious,
macro-organisms
architectures,
theory
consciousness
or
mind
should
based
on
cell
theory.
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.
Cellular
measurement
is
a
crucial
faculty
in
living
systems,
and
exaptations
are
acknowledged
as
significant
source
of
evolutionary
innovation.
However,
the
possibility
that
origin
biological
order
predicated
on
an
exaptation
information
from
abiotic
realm
has
not
been
previously
explored.
To
support
this
hypothesis,
existence
universal
holographic
relational
space-time
matrix
proposed
scale-free
unification
biotic
systems.
In
framework,
property
representing
interactions
between
matter
energy
can
be
subject
to
observation.
Since
observers
also
universally
distributed,
deemed
fundamental
fabric
universe.
The
novel
concept
compartmentalizing
N-space
into
separate
partitions
nodes
informational
density
defined
by
Markov
blankets
boundaries
introduced,
permitting
their
applicability
both
Based
these
partitions,
systems
derive
meaningful
conditional
settlement
quantum
entanglement
asymmetries
coherences
separately
bounded
reference
frames
sufficient
construed
form
measurement.
These
relationships
precursor
reiterating
nested
architecture
N-space-derived
fields
characterize
life
account
for
order.
Accordingly,
partitioning
preexisting
processes
within
Abiotic
states
thereby
reconcile
differing
forms
information.
essential
difference
lies
attributes
specific
observer/detectors,
clarifying
several
contentious
aspects
self-referential
consciousness.
Frontiers in Cell and Developmental Biology,
Journal Year:
2022,
Volume and Issue:
10
Published: Dec. 23, 2022
How
to
make
a
neuron,
synapse,
and
neural
circuit?
Is
there
only
one
'design'
for
architecture
with
universally
shared
genomic
blueprint
across
species?
The
brief
answer
is
"No."
Four
early
divergent
lineages
from
the
nerveless
common
ancestor
of
all
animals
independently
evolved
distinct
neuroid-type
integrative
systems.
One
these
subset
nets
in
comb
jellies
unique
synapses;
second
lineage
well-known
Cnidaria
+
Bilateria;
two
others
are
non-synaptic
neuroid
systems
sponges
placozoans.
By
integrating
scRNA-seq
microscopy
data,
we
revise
definition
neurons
as
synaptically-coupled
polarized
highly
heterogenous
secretory
cells
at
top
behavioral
hierarchies
learning
capabilities.
This
physiological
(not
phylogenetic)
separates
'true'
non-synaptically
gap
junction-coupled
executing
more
stereotyped
behaviors.
Growing
evidence
supports
hypothesis
multiple
origins
synapses.
Thus,
many
non-bilaterian
bilaterian
neuronal
classes,
circuits
or
considered
functional
rather
than
genetic
categories,
composed
non-homologous
cell
types.
In
summary,
little-explored
examples
convergent
evolution
representatives
branching
metazoans
provide
conceptually
novel
microanatomical
architectures
controls
prospects
neuro-engineering
synthetic
biology.
Neuroscience & Biobehavioral Reviews,
Journal Year:
2023,
Volume and Issue:
156, P. 105500 - 105500
Published: Dec. 5, 2023
This
paper
concerns
the
distributed
intelligence
or
federated
inference
that
emerges
under
belief-sharing
among
agents
who
share
a
common
world-and
world
model.
Imagine,
for
example,
several
animals
keeping
lookout
predators.
Their
collective
surveillance
rests
upon
being
able
to
communicate
their
beliefs-about
what
they
see-among
themselves.
But,
how
is
this
possible?
Here,
we
show
all
necessary
components
arise
from
minimising
free
energy.
We
use
numerical
studies
simulate
generation,
acquisition
and
emergence
of
language
in
synthetic
agents.
Specifically,
consider
inference,
learning
selection
as
variational
energy
posterior
(i.e.,
Bayesian)
beliefs
about
states,
parameters
structure
generative
models,
respectively.
The
theme-that
attends
these
optimisation
processes-is
actions
minimise
expected
energy,
leading
active
model
(a.k.a.,
learning).
first
illustrate
role
communication
resolving
uncertainty
latent
states
partially
observed
world,
on
which
have
complementary
perspectives.
then
requisite
language-entailed
by
likelihood
mapping
an
agent's
overt
expression
(e.g.,
speech)-showing
can
be
transmitted
across
generations
learning.
Finally,
emergent
property
minimisation,
when
operate
within
same
econiche.
conclude
with
discussion
various
perspectives
phenomena;
ranging
cultural
niche
construction,
through
learning,
complexity
ensembles
self-organising
systems.
Oxford University Press eBooks,
Journal Year:
2023,
Volume and Issue:
unknown
Published: Oct. 5, 2023
Abstract
This
volume
is
the
natural
follow-up
to
Arthur
Reber’s
2019
book,
The
First
Minds:
Caterpillars,
‘Karyotes,
and
Consciousness
(TFM).
In
that
earlier
work,
Cellular
Basis
of
(CBC)
theory
was
developed
based
on
a
number
efforts
published
in
variety
journals
between
1997
as
well
talks,
colloquia,
presentations
at
conferences.
core
proposition
TFM
life
mind
are
co-terminous.
All
organisms,
all
species
extant
extinct,
sentient.
have
an
existentially
secure
consciousness—without
which
they
would
been
evolutionary
dead-ends,
unable
survive
chaotic,
dangerous
environment
first
appeared.
And,
importantly,
forms
sentience,
cognitive
functioning
right
up
including
those
expressed
by
humans,
evolved
from
original
expression
consciousness
birth
prokaryotes.
unicellular
widely
accepted,
foundational
principle
biological
social
sciences.
CBC
simply
applies
same
sentience.
Journal for General Philosophy of Science,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 28, 2025
Abstract
In
theories
with
a
diffeomorphism
symmetry,
such
as
general
relativity
and
canonical
quantum
gravity,
it
is
often
proposed
that
the
empirical
content
encoded
in
relational
observables.
But
how
do
observables
actually
make
contact
experience?
I
argue
this
question
can
only
be
answered
by
providing
schematization
of
observer
which
appropriate
for
context
diffeomorphism-invariant
theory.
suggest
may
require
us
to
move
away
from
‘passive
awareness’
conception
consciousness
towards
more
agential
conception,
because
there
clear
sense
an
embodied
agent
must
experience
herself
localised
at
time.
Finally,
consider
what
means
prospects
using
reference
frames
address
problem
time,
arguing
way
are
standardly
described
does
not
give
adequate
resources
model
agency,
so
some
other
kind
internal
frame
required
fully
explain
we
observe
context.
Fortschritte der Physik,
Journal Year:
2022,
Volume and Issue:
70(11)
Published: Sept. 2, 2022
Abstract
We
introduce
novel
methods
for
implementing
generic
quantum
information
within
a
scale‐free
architecture.
For
given
observable
system,
we
show
how
observational
outcomes
are
taken
to
be
finite
bit
strings
induced
by
measurement
operators
derived
from
holographic
screen
bounding
the
system.
In
this
framework,
measurements
of
identified
systems
with
respect
defined
reference
frames
represented
semantically‐regulated
flows
through
distributed
sets
binary‐valued
Barwise‐Seligman
classifiers.
Specifically,
construct
functor
category
cone‐cocone
diagrams
(CCCDs)
over
classifiers,
cobordisms
Hilbert
spaces.
that
CCCDs
provide
representation
(QRFs).
Hence
constructed
shows
sequential
can
induce
TQFTs.
The
only
requirement
is
each
in
sequence,
itself,
satisfies
Bayesian
coherence,
hence
probabilities
it
assigns
satisfy
Kolmogorov
axioms.
extend
analysis
too
develop
topological
neural
networks
(TQNNs),
which
enable
machine
learning
functorial
evolution
2‐complexes
(TQN2Cs)
governed
TQFTs
amplitudes,
and
resort
Atiyah‐Singer
theorems
order
classify
data
processed
TQN2Cs.
then
comment
about
quiver
generalized
spin‐networks,
basis
spaces
both
TQNNs
finally
review
potential
implementations
framework
solid
state
physics
suggest
applications
simulation
biological
processing.