Economic Affairs,
Год журнала:
2022,
Номер
42(1), С. 87 - 114
Опубликована: Фев. 1, 2022
Abstract
Cognitive
economics
partners
cognitive
science
and
economics:
teaches
about
mentality
(present
in
markets),
whereas
market
forces
minds).
The
shared
Market
Mind
principle
is
intelligent
(sometimes
conscious)
self‐organisation.
Specifically,
the
Hypothesis
formalises
what
investors
casually
refer
to
as
‘the
market's
mind’.
Prices
are
its
informational
signatures
while
mood
phenomenal
experience.
Frontiers in Systems Neuroscience,
Год журнала:
2022,
Номер
16
Опубликована: Март 24, 2022
Synthetic
biology
and
bioengineering
provide
the
opportunity
to
create
novel
embodied
cognitive
systems
(otherwise
known
as
minds)
in
a
very
wide
variety
of
chimeric
architectures
combining
evolved
designed
material
software.
These
advances
are
disrupting
familiar
concepts
philosophy
mind,
require
new
ways
thinking
about
comparing
truly
diverse
intelligences,
whose
composition
origin
not
like
any
available
natural
model
species.
In
this
Perspective,
I
introduce
TAME-Technological
Approach
Mind
Everywhere-a
framework
for
understanding
manipulating
cognition
unconventional
substrates.
TAME
formalizes
non-binary
(continuous),
empirically-based
approach
strongly
agency.
provides
way
think
animal
sentience
an
instance
collective
intelligence
cell
groups,
arising
from
dynamics
that
manifest
similar
numerous
other
When
applied
regenerating/developmental
systems,
suggests
perspective
on
morphogenesis
example
basal
cognition.
The
deep
symmetry
between
problem-solving
anatomical,
physiological,
transcriptional,
3D
(traditional
behavioral)
spaces
drives
specific
hypotheses
by
which
capacities
can
increase
during
evolution.
An
important
medium
exploited
evolution
joining
active
subunits
into
greater
agents
is
developmental
bioelectricity,
implemented
pre-neural
use
ion
channels
gap
junctions
scale
up
cell-level
feedback
loops
anatomical
homeostasis.
This
architecture
multi-scale
competency
biological
has
implications
plasticity
bodies
minds,
greatly
potentiating
evolvability.
Considering
classical
recent
data
perspectives
computational
science,
evolutionary
biology,
cognition,
reveals
rich
research
program
with
many
regenerative
medicine,
artificial
intelligence.
Entropy,
Год журнала:
2022,
Номер
24(6), С. 819 - 819
Опубликована: Июнь 12, 2022
One
of
the
most
salient
features
life
is
its
capacity
to
handle
novelty
and
namely
thrive
adapt
new
circumstances
changes
in
both
environment
internal
components.
An
understanding
this
central
several
fields:
evolution
form
function,
design
effective
strategies
for
biomedicine,
creation
novel
forms
via
chimeric
bioengineering
technologies.
Here,
we
review
instructive
examples
living
organisms
solving
diverse
problems
propose
competent
navigation
arbitrary
spaces
as
an
invariant
thinking
about
scaling
cognition
during
evolution.
We
argue
that
our
innate
recognize
agency
intelligence
unfamiliar
guises
lags
far
behind
ability
detect
it
familiar
behavioral
contexts.
The
multi-scale
competency
essential
adaptive
potentiating
providing
top-down
control
(not
micromanagement)
address
complex
disease
injury.
observer-focused
viewpoint
agnostic
scale
implementation,
illustrating
how
pivoted
similar
explore
exploit
metabolic,
transcriptional,
morphological,
finally
3D
motion
spaces.
By
generalizing
concept
behavior,
gain
perspectives
on
evolution,
system-level
biomedical
interventions,
construction
bioengineered
intelligences.
This
framework
a
first
step
toward
relating
highly
embodiments,
which
will
be
progress
artificial
regenerative
medicine
thriving
world
increasingly
populated
by
synthetic,
bio-robotic,
hybrid
beings.
Cellular and Molecular Life Sciences,
Год журнала:
2023,
Номер
80(6)
Опубликована: Май 8, 2023
Abstract
A
critical
aspect
of
evolution
is
the
layer
developmental
physiology
that
operates
between
genotype
and
anatomical
phenotype.
While
much
work
has
addressed
mechanisms
evolvability
specific
genetic
architectures
with
emergent
complexity,
one
not
been
sufficiently
explored:
implications
morphogenetic
problem-solving
competencies
for
evolutionary
process
itself.
The
cells
works
are
passive
components:
rather,
they
have
numerous
capabilities
behavior
because
derive
from
ancestral
unicellular
organisms
rich
repertoires.
In
multicellular
organisms,
these
must
be
tamed,
can
exploited,
by
process.
Specifically,
biological
structures
a
multiscale
competency
architecture
where
cells,
tissues,
organs
exhibit
regulative
plasticity—the
ability
to
adjust
perturbations
such
as
external
injury
or
internal
modifications
still
accomplish
adaptive
tasks
across
metabolic,
transcriptional,
physiological,
problem
spaces.
Here,
I
review
examples
illustrating
how
physiological
circuits
guiding
cellular
collective
impart
computational
properties
agential
material
serves
substrate
then
explore
ways
in
which
intelligence
during
morphogenesis
affect
evolution,
providing
new
perspective
on
search
This
key
feature
software
life
helps
explain
remarkable
speed
robustness
sheds
light
relationship
genomes
functional
phenotypes.
Communications Biology,
Год журнала:
2024,
Номер
7(1)
Опубликована: Март 28, 2024
Abstract
A
defining
feature
of
biology
is
the
use
a
multiscale
architecture,
ranging
from
molecular
networks
to
cells,
tissues,
organs,
whole
bodies,
and
swarms.
Crucially
however,
not
only
nested
structurally,
but
also
functionally:
each
level
able
solve
problems
in
distinct
problem
spaces,
such
as
physiological,
morphological,
behavioral
state
space.
Percolating
adaptive
functionality
one
competent
subunits
higher
functional
organization
requires
collective
dynamics:
multiple
components
must
work
together
achieve
specific
outcomes.
Here
we
overview
number
biological
examples
at
different
scales
which
highlight
ability
cellular
material
make
decisions
that
implement
cooperation
toward
homeodynamic
endpoints,
intelligence
by
solving
cell,
tissue,
whole-organism
levels.
We
explore
hypothesis
province
groups
animals,
an
important
symmetry
exists
between
science
swarms
competencies
cells
other
systems
scales.
then
briefly
outline
implications
this
approach,
possible
impact
tools
field
diverse
for
regenerative
medicine
synthetic
bioengineering.
Frontiers in Ecology and Evolution,
Год журнала:
2021,
Номер
9
Опубликована: Март 16, 2021
One
of
the
most
useful
metaphors
for
driving
scientific
and
engineering
progress
has
been
that
“machine.”
Much
controversy
exists
about
applicability
this
concept
in
life
sciences.
Advances
molecular
biology
have
revealed
numerous
design
principles
can
be
harnessed
to
understand
cells
from
an
perspective,
build
novel
devices
rationally
exploit
laws
chemistry,
physics,
computation.
At
same
time,
organicists
point
many
unique
features
life,
especially
at
larger
scales
organization,
which
resisted
decomposition
analysis
artificial
implementation.
Here,
we
argue
much
debate
focused
on
inessential
aspects
machines
–
classical
properties
surpassed
by
advances
modern
Machine
Behavior
no
longer
apply.
This
emerging
multidisciplinary
field,
interface
machine
learning,
synthetic
bioengineering,
is
highlighting
inadequacy
existing
definitions.
Key
terms
such
as
machine,
robot,
program,
software,
evolved,
designed,
etc.,
need
revised
light
technological
theoretical
moved
past
dated
philosophical
conceptions
limited
our
understanding
both
evolved
designed
systems.
Moving
beyond
contingent
historical
current
will
enable
conceptual
tools
embrace
inevitable
hybrid
bioengineering
computer
science,
toward
a
framework
identifies
essential
distinctions
between
fundamental
concepts
living
agents.
Progress
theory
practical
applications
requires
establishment
conception
“machines
they
could
be,”
based
profound
lessons
all
scales.
We
sketch
perspective
acknowledges
remarkable,
help
re-define
key
terms,
identify
deep,
future
sharp
boundaries
systems
not
exist.
Biological Journal of the Linnean Society,
Год журнала:
2022,
Номер
139(4), С. 457 - 486
Опубликована: Июль 14, 2022
Abstract
The
rich
variety
of
biological
forms
and
behaviours
results
from
one
evolutionary
history
on
Earth,
via
frozen
accidents
selection
in
specific
environments.
This
ubiquitous
baggage
natural,
familiar
model
species
obscures
the
plasticity
swarm
intelligence
cellular
collectives.
Significant
gaps
exist
our
understanding
origin
anatomical
novelty,
relationship
between
genome
form,
strategies
for
control
large-scale
structure
function
regenerative
medicine
bioengineering.
Analysis
living
that
have
never
existed
before
is
necessary
to
reveal
deep
design
principles
life
as
it
can
be.
We
briefly
review
existing
examples
chimaeras,
cyborgs,
hybrots
other
beings
along
spectrum
containing
evolved
designed
systems.
To
drive
experimental
progress
multicellular
synthetic
morphology,
we
propose
teleonomic
(goal-seeking,
problem-solving)
behaviour
diverse
problem
spaces
a
powerful
invariant
across
possible
regardless
composition
or
origin.
Cybernetic
perspectives
chimaeric
morphogenesis
erase
artificial
distinctions
established
by
past
limitations
technology
imagination.
suggest
multi-scale
competency
architecture
facilitates
evolution
robust
problem-solving,
machines.
Creation
analysis
novel
will
be
an
essential
testbed
emerging
field
intelligence,
with
numerous
implications
medicine,
robotics
ethics.
Collective Intelligence,
Год журнала:
2023,
Номер
2(2), С. 263391372311683 - 263391372311683
Опубликована: Апрель 1, 2023
Collective
intelligence
and
individual
are
usually
considered
to
be
fundamentally
different.
Individual
is
uncontroversial.
It
occurs
in
organisms
with
special
neural
machinery,
evolved
by
natural
selection
enable
cognitive
learning
functions
that
serve
the
fitness
benefit
of
organism,
then
trained
through
lifetime
experience
maximise
rewards.
Whilst
mechanisms
not
fully
understood,
good
models
exist
for
many
aspects
cognition
learning.
intelligence,
contrast,
a
much
more
ambiguous
idea.
What
exactly
constitutes
collective
often
vague,
might
it
frequently
domain-specific.
These
cannot
selected
specifically
purpose
because
collectives
(except
circumstances)
evolutionary
units,
clear
can
learn
way
intelligences
do
since
they
singular
locus
rewards
benefits.
Here,
we
use
examples
from
evolution
developmental
morphogenesis
argue
these
apparent
distinctions
as
categorical
appear.
Breaking
down
such
enables
us
borrow
expand
existing
framework
particular
connectionist
familiar
context
networks.
We
discuss
how
specific
features
inform
necessary
sufficient
conditions
identify
current
knowledge
gaps
opportunities
future
research.
Oxford University Press eBooks,
Год журнала:
2022,
Номер
unknown
Опубликована: Ноя. 3, 2022
Abstract
Evolutionary
change
is
usually
incremental
and
continuous,
but
some
increases
in
organizational
complexity
have
been
radical
divisive.
biologists,
who
refer
to
such
events
as
“major
transitions,”
not
always
appreciated
that
these
advances
were
novel
forms
of
pairwise
commitment
subjugated
previously
independent
agents.
Inclusive
fitness
theory
convincingly
explains
cooperation
conflict
societies
animals
free-living
cells,
deserve
its
eminent
status
it
should
also
capture
how
major
transitions
originated:
from
prokaryote
cells
eukaryote
via
differentiated
multicellularity,
colonies
with
specialized
queen
worker
castes.
As
yet,
no
attempt
has
made
apply
inclusive
principles
the
origins
events.
Domains
Major
Transitions
Social
Evolution
develops
idea
evolutionary
involved
new
levels
informational
closure
moved
beyond
looser
partnerships.
Early
neo-Darwinians
understood
this
principle,
later
social
gradient
thinking
obscured
discontinuity
life’s
fundamental
transitions.
The
author
argues
required
maximal
kinship
simple
ancestors—not
reduction
already
elaborate
societies.
Reviewing
more
than
a
century
literature,
he
makes
testable
predictions,
proposing
open
closed
organisms
require
very
different
explanations.
It
appears
only
human
ancestors
lived
complex
before
our
cultural
transition
occurred.
We
therefore
impose
trajectory
own
history
on
rest
nature.
This
thought-provoking
text
suitable
for
graduate-level
students
taking
courses
biology,
behavioral
ecology,
organismal
developmental
genetics,
well
professional
researchers
fields.
will
appeal
broader,
interdisciplinary
audience,
including
sciences
humanities.
Jacobus
J.
Boomsma
Professor
Ecology
at
University
Copenhagen.