Investigating
how
goals
impact
the
way
we
explore,
represent,
and
interact
with
world
is
vital
for
understanding
human
cognition.
In
their
insightful
review,
Molinaro
&
Collins
(2023)
redefine
conventional
role
of
in
computational
theories
learning
decision-making,
arguing
that
reinforcement
frameworks,
traditionally
‘fixed’
elements
(e.g.,
states,
actions,
rewards)
are
fact
intricately
linked
to
influenced
by
an
agent’s
current
goals.
support
claim
dynamic
actively
shape
information
processing
altering
state,
they
draw
on
fMRI
work
showing
neural
representations
prefrontal
cortex
vary
systematically
when
participants
imagine
using
same
object
achieve
different
(Castegnetti
et
al.,
2021).
These
other
findings
suggest
do
not
only
influence
high-level
cognitive
processes,
but
can
also
modulate
encoding
sensory
information,
including
early
areas
(Schaffner
2023).
Here
provide
nuance
this
perspective
highlighting
obligatory
largely
automatic
nature
processing,
wherein
evoked
responses
complex
stimuli
faces,
objects)
encode
visual
input
a
manner
independent
goal
state.
This
caveat
arises
out
time-resolved
decoding
literature
suggests
while
observer’s
task
undoubtedly
guides
attention
its
stages
comparatively
subtle.
Trends in Cognitive Sciences,
Journal Year:
2024,
Volume and Issue:
28(5), P. 441 - 453
Published: Feb. 26, 2024
What
drives
our
curiosity
remains
an
elusive
and
hotly
debated
issue,
with
multiple
hypotheses
proposed
but
a
cohesive
account
yet
to
be
established.
This
review
discusses
traditional
emergent
theories
that
frame
as
desire
know
drive
learn,
respectively.
We
adopt
model-based
approach
maps
the
temporal
dynamics
of
various
factors
underlying
curiosity-based
exploration,
such
uncertainty,
information
gain,
learning
progress.
In
so
doing,
we
identify
limitations
past
posit
integrated
harnesses
their
strengths
in
describing
tool
for
optimal
environmental
exploration.
unified
account,
serves
'common
currency'
which
must
balanced
other
safety
hunger
achieve
efficient
action.
Nature Human Behaviour,
Journal Year:
2024,
Volume and Issue:
unknown
Published: April 17, 2024
When
striking
a
balance
between
commitment
to
goal
and
flexibility
in
the
face
of
better
options,
people
often
demonstrate
strong
perseveration.
Here,
using
functional
MRI
(n
=
30)
lesion
patient
26)
studies,
we
argue
that
ventromedial
prefrontal
cortex
(vmPFC)
drives
linked
changes
goal-directed
selective
attention.
Participants
performed
an
incremental
pursuit
task
involving
sequential
decisions
persisting
with
versus
abandoning
progress
for
alternative
options.
Individuals
stronger
perseveration
showed
higher
attention
interleaved
task.
Increasing
also
affected
abandonment
decisions:
while
pursuing
goal,
lost
their
sensitivity
valuable
goals
remaining
more
sensitive
current
goal.
In
healthy
population,
individual
differences
both
biases
goal-oriented
were
predicted
by
baseline
goal-related
activity
vmPFC.
Among
patients,
vmPFC
damage
reduced
commitment,
leading
performance
benefit.
Motor
learning
is
often
viewed
as
a
unitary
process
that
operates
outside
of
conscious
awareness.
This
perspective
has
led
to
the
development
sophisticated
models
designed
elucidate
mechanisms
implicit
sensorimotor
learning.
In
this
review,
we
argue
for
broader
perspective,
emphasizing
contribution
explicit
strategies
tasks.
Furthermore,
propose
theoretical
framework
motor
consists
three
fundamental
processes:
reasoning,
understanding
action–outcome
relationships;
refinement,
optimizing
and
cognitive
parameters
achieve
goals;
retrieval,
inferring
context
recalling
control
policy.
We
anticipate
‘3R’
how
complex
movements
are
learned
will
open
exciting
avenues
future
research
at
intersection
between
cognition
action.
[Now
published
in
eLife:
https://elifesciences.org/articles/91839]
Motor
learning
is
often
viewed
as
a
unitary
process
that
operates
outside
of
conscious
awareness.
This
perspective
has
led
to
the
development
sophisticated
models
designed
elucidate
mechanisms
implicit
sensorimotor
learning.
In
this
review
we
argue
for
broader
perspective,
emphasizing
contribution
explicit
strategies
tasks.
Furthermore,
propose
theoretical
framework
motor
consists
three
fundamental
processes:
Reasoning,
understanding
action-outcome
relationships;
Refinement,
optimizing
and
cognitive
parameters
achieve
goals;
Retrieval,
inferring
context
recalling
control
policy.
We
anticipate
“3R”
how
complex
movements
are
learned
will
open
exciting
avenues
future
research
at
intersection
between
cognition
action.
Brain,
Journal Year:
2024,
Volume and Issue:
147(6), P. 2230 - 2244
Published: April 8, 2024
Despite
a
theory
that
an
imbalance
in
goal-directed
versus
habitual
systems
serve
as
building
blocks
of
compulsions,
research
has
yet
to
delineate
how
this
occurs
during
arbitration
between
the
two
obsessive-compulsive
disorder.
Inspired
by
brain
model
which
inferior
frontal
cortex
selectively
gates
putamen
guide
or
actions,
study
aimed
examine
whether
disruptions
process
via
fronto-striatal
circuit
would
underlie
imbalanced
decision-making
and
compulsions
patients.
Thirty
patients
with
disorder
[mean
(standard
deviation)
age
=
26.93
(6.23)
years,
12
females
(40%)]
30
healthy
controls
24.97
(4.72)
17
(57%)]
underwent
functional
MRI
scans
while
performing
two-step
Markov
decision
task,
was
designed
dissociate
behaviour
from
behaviour.
We
employed
neurocomputational
account
for
uncertainty-based
process,
prefrontal
arbitrator
(i.e.
gyrus)
allocates
behavioural
control
more
reliable
strategy
gating
putamen.
analysed
group
differences
neural
estimates
uncertainty
each
strategy.
also
compared
psychophysiological
interaction
effects
system
preference
(goal-directed
habitual)
on
coupling
groups.
examined
correlation
compulsivity
score
activity
connectivity
involved
process.
The
computational
captured
subjects'
preferences
strategies.
Compared
controls,
had
stronger
(t
-2.88,
P
0.006),
attributed
uncertain
2.72,
0.009).
Before
allocation
exhibited
hypoactivity
gyrus
when
region
tracked
inverse
reliability)
(P
0.001,
family-wise
error
rate
corrected).
When
reorienting
behaviours
reach
specific
goals,
weaker
right
ipsilateral
ventrolateral
prefronto-putamen
than
This
hypoconnectivity
correlated
severe
(r
-0.57,
0.002).
Our
findings
suggest
attenuated
top-down
underlies
Enhancing
may
be
potential
neurotherapeutic
approach
adaptive
decision-making.
Philosophical Studies,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Nov. 9, 2024
Abstract
The
dominant
practice
of
AI
alignment
assumes
(1)
that
preferences
are
an
adequate
representation
human
values,
(2)
rationality
can
be
understood
in
terms
maximizing
the
satisfaction
preferences,
and
(3)
systems
should
aligned
with
one
or
more
humans
to
ensure
they
behave
safely
accordance
our
values.
Whether
implicitly
followed
explicitly
endorsed,
these
commitments
constitute
what
we
term
a
preferentist
approach
alignment.
In
this
paper,
characterize
challenge
approach,
describing
conceptual
technical
alternatives
ripe
for
further
research.
We
first
survey
limits
rational
choice
theory
as
descriptive
model,
explaining
how
fail
capture
thick
semantic
content
utility
representations
neglect
possible
incommensurability
those
then
critique
normativity
expected
(EUT)
AI,
drawing
upon
arguments
showing
agents
need
not
comply
EUT,
while
highlighting
EUT
is
silent
on
which
normatively
acceptable.
Finally,
argue
limitations
motivate
reframing
targets
alignment:
Instead
user,
developer,
humanity-writ-large,
normative
standards
appropriate
their
social
roles,
such
role
general-purpose
assistant.
Furthermore,
negotiated
agreed
by
all
relevant
stakeholders.
On
alternative
conception
alignment,
multiplicity
will
able
serve
diverse
ends,
promote
mutual
benefit
limit
harm
despite
plural
divergent