Renewal of instrumental avoidance in humans.
Gonzalo P. Urcelay,
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Kadell Symmons,
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Bethany Amos
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et al.
Journal of Experimental Psychology Animal Learning and Cognition,
Journal Year:
2024,
Volume and Issue:
50(3), P. 197 - 209
Published: July 1, 2024
The
ABA
renewal
effect
occurs
when
behavior
is
trained
in
one
context
(A),
extinguished
a
second
(B),
and
the
test
training
(A).Two
mechanisms
that
explain
are
summation
at
contextual
modulation
of
extinction
learning,
with
former
being
unlikely
if
both
contexts
have
similar
associative
history.In
two
experiments,
we
used
within-subjects
designs
which
participants
learned
to
avoid
loud
noise
(unconditioned
stimulus)
signaled
by
discrete
visual
stimuli
(conditioned
[CSs]),
pressing
space
bar
on
computer
keyboard.The
was
conducted
contexts,
different
pair
CSs
(CS+
CS-)
each
context.During
extinction,
CS+
CS-stimuli
were
presented
alternative
from
training,
allowed
freely
respond,
but
no
presented.Finally,
all
tested
resulting
versus
ABB
comparison.Across
increased
avoidance
responses
during
decreased
them
although
Experiment
2
revealed
less
extinction.During
test,
responding
higher
(ABA)
(ABB),
revealing
instrumental
avoidance.Experiment
also
measured
expectancy
after
remarkable
similarity
between
ratings.This
study
shows
humans,
results
suggest
operation
modulatory
role
for
renewal,
occasion
setting
learning
context.
Language: Английский
Balancing safety and efficiency in human decision making
Published: Oct. 18, 2024
The
safety-efficiency
dilemma
describes
the
problem
of
maintaining
safety
during
efficient
exploration
and
is
a
special
case
exploration-exploitation
in
face
potential
dangers.
Conventional
solutions
collapse
punishment
reward
into
single
feedback
signal,
whereby
early
losses
can
be
overcome
by
later
gains.
However,
brain
has
separate
system
for
Pavlovian
fear
learning,
suggesting
possible
computational
advantage
to
specific
memory
exploratory
decision-making.
In
series
simulations,
we
show
this
promotes
safe
but
learning
optimised
arbitrating
avoidance
instrumental
decision-making
according
uncertainty.
We
provide
basic
test
model
simple
human
approach-withdrawal
experiment,
that
flexible
captures
choice
reaction
times.
These
results
more
sophisticated
role
than
previously
thought,
shaping
behaviour
computationally
precise
manner.
Language: Английский
Balancing safety and efficiency in human decision making
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Jan. 24, 2024
ABSTRACT
The
safety-efficiency
dilemma
describes
the
problem
of
maintaining
safety
during
efficient
exploration
and
is
a
special
case
exploration-exploitation
in
face
potential
dangers.
Conventional
solutions
collapse
punishment
reward
into
single
feedback
signal,
whereby
early
losses
can
be
overcome
by
later
gains.
However,
brain
has
separate
system
for
Pavlovian
fear
learning,
suggesting
possible
computational
advantage
to
specific
memory
exploratory
decision-making.
In
series
simulations,
we
show
this
promotes
safe
but
learning
optimised
arbitrating
avoidance
instrumental
decision-making
according
uncertainty.
We
provide
basic
test
model
simple
human
approach-withdrawal
experiment,
that
flexible
captures
choice
reaction
times.
These
results
more
sophisticated
role
than
previously
thought,
shaping
behaviour
computationally
precise
manner.
Language: Английский
Balancing safety and efficiency in human decision making
Published: Oct. 18, 2024
The
safety-efficiency
dilemma
describes
the
problem
of
maintaining
safety
during
efficient
exploration
and
is
a
special
case
exploration-exploitation
in
face
potential
dangers.
Conventional
solutions
collapse
punishment
reward
into
single
feedback
signal,
whereby
early
losses
can
be
overcome
by
later
gains.
However,
brain
has
separate
system
for
Pavlovian
fear
learning,
suggesting
possible
computational
advantage
to
specific
memory
exploratory
decision-making.
In
series
simulations,
we
show
this
promotes
safe
but
learning
optimised
arbitrating
avoidance
instrumental
decision-making
according
uncertainty.
We
provide
basic
test
model
simple
human
approach-withdrawal
experiment,
that
flexible
captures
choice
reaction
times.
These
results
more
sophisticated
role
than
previously
thought,
shaping
behaviour
computationally
precise
manner.
Language: Английский