brief communications
Rational imitation in preverbal infants
Babies may opt for a simpler way to turn on a light after watching an adult do it.
ere we show that if an adult demonstrates a new way to execute a task to a
group of infants aged 14 months, the
children will use this action to achieve the
same goal only if they consider it to be
the most rational alternative. Our results
indicate that imitation of goal-directed
action by preverbal infants is a selective,
interpretative process, rather than a simple
re-enactment of the means used by a
demonstrator, as was previously thought1–3.
In Meltzoff ’s seminal study1, a group of
14-month-old subjects watched a demonstrator illuminate a light-box by leaning
forwards and touching its top with her forehead1,2. One week later, two-thirds of them
re-enacted this head action to achieve the
same outcome, although none of the control
group used it spontaneously. This was taken
as evidence that infants separate the goal
from the means, automatically imitating the
means as demonstrated2. Such imitative
learning is thought to be specific to humans,
as primates do not imitate new strategies to
achieve goals, relying instead on motor
actions already in their repertoire (emulation)3. If this were also the case in infants,
they would be expected to touch the box
with their hands, rather than imitating the
unfamiliar head action. (Meltzoff, however,
did not report such hand actions1,2.)
The readiness of infants to re-enact the
head action is surprising, given that 1-yearold babies can evaluate the rationality of the
means in relation to the goal and the constraints of the situation4,5. When constraints
change, these infants are able to work out the
most effective action that the demonstrator
should use to achieve the goal (the principle
of rational action6,7). Infants would therefore
be expected to re-enact an action only if it
seemed to them to be the most effective
means to achieve the goal (see also ref. 8).
So why did Meltzoff ’s subjects re-enact
the head action, when they could just have
touched the box with their hands? If infants
noticed that the demonstrator declined to
use her hands despite the fact that they were
free, they may have inferred that the head
action must offer some advantage in turning
on the light. They therefore used the same
action themselves in the same situation.
To test this idea, we replicated Meltzoff’s
study1 with one modification: in one condition, the subjects could see that the demonstrator’s hands were occupied while she
executed the head action (pretending to be
cold, she had wrapped a blanket around
herself which she held onto with both hands;
‘hands occupied’, Fig. 1a). After witnessing
the same head action when the adult’s hands
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NATURE | VOL 415 | 14 FEBRUARY 2002 | www.nature.com
a
b
c
100%
80%
60%
40%
20%
0%
Hands
occupied
Hands
free
Figure 1 Comparison of the methods used by 14-month-old infants to switch on a light-box 1 week after watching how an adult executed
the same task under two different conditions. a, b, Adult switching on the light by touching the lamp with her forehead in the hands-occupied
condition (a, n414) or the hands-free condition (b, n413). c, Methods used by infants to switch on the light-box after watching the head
action used by the demonstrator under these two conditions (left bar, adult had hands occupied; right bar, adult had hands free), recorded
over a 20-s period. Blue, head action was re-enacted; green, only manual touch was used. Further details are available from the authors.
were free (Fig. 1b), 69% of infants re-enacted
the head action, replicating Meltzoff’s
results1. However, after watching the adult
turn on the light with her head when her
hands were occupied, the number of children who imitated the head action dropped
significantly to only 21% (P*0.02; Fig. 1c).
It must therefore have seemed sensible to the
infants that the demonstrator should use the
head action when her hands were occupied
— nevertheless, 79% of them chose not to
imitate her because their own hands were
free, presumably concluding that the head
action was not the most rational.
Whether they re-enacted the head action
or not, all infants who watched the adult
perform under both conditions still used the
hand action. This suggests that 14-monthold infants are still subject to an automatic,
emulation-like process whereby the memory
of the effect (illumination by touch) activates the response that is most strongly
associated with establishing contact (hand
action). But the re-enactment of the head
action, when inferred to be rational by the
Evolutionary biology
Performance constraints
in decathletes
hysical performance by vertebrates is
thought to be constrained by tradeoffs between antagonistic pairs of
ecologically relevant traits and between
conflicting specialist and generalist phenotypes1,2, but there is surprisingly little
evidence to support this reasoning3–5. Here
we analyse the performance of world-class
athletes in standardized decathlon events
and find that it is subject to both types of
trade-off, after correction has been made
P
© 2002 Macmillan Magazines Ltd
infant, indicates that imitation by 14month-olds goes beyond emulation. We
conclude that the early imitation of goaldirected actions is a selective, inferential
process that involves evaluation of the
rationality of the means in relation to the
constraints of the situation.
György Gergely*, Harold Bekkering†‡,
Ildikó Király*
*Institute for Psychology, Hungarian Academy of
Sciences, 1132 Budapest, Hungary
e-mail: gergelyg@mtapi.hu
†Max Planck Institute for Psychological Research,
Amalienstrasse 33, 80799 Munich, Germany
‡Present address: Department of Experimental and
Work Psychology, University of Groningen,
9712 TS Groningen, The Netherlands
1. Meltzoff, A. N. Dev. Psychol. 24, 470–476 (1988).
2. Meltzoff, A. N. J. Exp. Child Psychol. 59, 497–515 (1995).
3. Tomasello, M. The Cultural Origins of Human Cognition
(Harvard Univ. Press, Cambridge, Massachusetts, 1999).
4. Gergely, G. et al. Cognition 56, 165–193 (1995).
5. Csibra, G. et al. Cognition 72, 237–267 (1999).
6. Gergely, G. & Csibra, G. Cognition 63, 227–233 (1997).
7. Csibra, G. & Gergely, G. Dev. Sci. 1, 255–259 (1998).
8. Bekkering, H., Wohlschlager, A. & Gattis, M.
Q. J. Exp. Psychol. Human Exp. Psych. 53A, 153–164 (2000).
for differences between athletes in general
ability across all 10 events. These trade-offs
may have imposed important constraints
on the evolution of physical performance in
humans and other vertebrates.
Decathletes compete in 10 different
track and field events over two consecutive
days. We constructed a data set of the
performance of 600 world-class decathletes
across all events from sources available on
the Internet (see Fig. 1 legend). Individual
performance for any pair of disciplines was
positively correlated for the entire data set.
This was unexpected, as physiological and
biomechanical theory predicts that there
should be trade-offs between certain pairs
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brief communications
2
Overall performance ('generalist')
1
0
–1
–2
–3
–4
0
1
2
3
Maximal excellence in a particular discipline ('specialist')
4
Figure 1 Trade-off between excellence in a single discipline (specialist) and average performance across all 10 events (generalist) for
600 world-class decathletes. Excellence in a particular discipline (represented by the highest residual score for a particular athlete) is
negatively correlated with average performance (expressed as the average of all 10 residual scores for that athlete). To ensure that scores
in different events received equal weighting, an athlete’s score was standardized for each event by subtracting it from the population
mean and dividing it by the population standard deviation. The decathlete data set was constructed from the following websites:
www.iaaf.org; www.gbrathletics.com; www.athletics.org.au; www.dlv-sport.de; www.athle.org.
of performance traits — for example, speed
depends on the athlete having a high
proportion of fast, fatigue-sensitive muscle
fibres, whereas endurance relies on a higher
proportion of slower fibres that are more
resistant to fatigue3,6–8.
However, when the analysis was restricted to athletes of comparable ranking (on
the basis of International Amateur Athletic
Federation scores), trade-offs became evident between certain traits. For example,
performance in the 100 metres is negatively
correlated with speed over 1,500 metres for
athletes who score above 8,000 points
(n4133; r410.21, P40.016). We suspect
that the apparent contradiction in our
results is caused by differences in ‘general
quality’ between athletes, which effectively
mask any trade-off effects when the entire
population is examined.
To account for these differences in general quality, we calculated partial correla-
tion coefficients for each pair of performance traits and found evidence of some
performance trade-offs (Table 1). For
example, good sprinters performed relatively poorly over 1,500 metres, but did well in
the long jump, the 400 metres and the
110-metre hurdles. Likewise, there was a
negative correlation between performance
in shot-putting (which calls for explosive
power in the upper limbs) and in the
1,500 metres (which depends on endurance
in the lower limbs).
These results seem to support the idea of
trade-offs generated by conflicting anatomical (such as relative body weight and
limb proportions) and muscle-fibre-type
requirements. Negative correlations may
also reflect differences in training, for
example if athletes focus on certain disciplines to the detriment of others. However,
the consistency with which particular
performance traits co-vary suggests that it
Table 1 Correlation between 10 performance measures for 600 world-class decathletes
Discus
Shot putt
Javelin
Pole vault
Shot putt
Javelin
&
&
Pole vault High jump Long jump 100 m
NS
NS
NS
NS
110-m hurdles 400 m
NS
NS
1,500 m
&
NS
NS
NS
NS
NS
NS
1
NS
NS
NS
NS
NS
NS
NS
&
NS
NS
&
NS
NS
&
NS
&
NS
NS
&
&
NS
NS
NS
is more difficult to combine excellence in
some pairs of events than in others.
We calculated measures of excellence
and average performance for each decathlete across all disciplines to test the assumption that there must be a performance
trade-off between specialist and generalist
phenotypes. The principle of allocation, a
hypothesis that underlies much of ecological and evolutionary theory, predicts that
excellence in one task can only be attained
at the expense of average performance in all
other tasks, and vice versa1.
For each athlete, we selected the highest
standardized score from his set of 10 events
and defined this as that athlete’s ‘degree of
excellence’. We also calculated the average
of the 10 scores for each athlete to estimate
their overall average performance. The
degree of excellence was negatively correlated with average performance across all
disciplines (r410.37, P*0.00001; Fig. 1),
which is consistent with the principle of
allocation.
We conclude that in an environment in
which the selection criterion is combined
high performance across multiple tasks,
increased performance in one function may
impede performance in others. The relevance of our findings for the evolution of
performance traits will depend on whether
these correlations have a genetic basis —
studies of mice9 and insects10 indicate that
this may be the case. The influence of an
individual athlete’s training schedule or
career development on these apparent
trade-offs also needs to be determined.
Raoul Van Damme, Robbie S. Wilson,
Bieke Vanhooydonck, Peter Aerts
Department of Biology, University of Antwerp,
Universiteitsplein 1, 2610 Wilrijk, Belgium
e-mail: rwilson@uia.ac.be
1. Levins, R. Evolution in Changing Environments (Princeton
Univ. Press, New Jersey, 1968).
2. Futuyma, D. J. & Moreno, G. Annu. Rev. Ecol. Syst. 19,
207–233 (1988).
3. Garland, T. Jr in Quantitative Genetic Studies of Behavioral
Evolution (ed. Boake, C. R. B.) 251–277 (Univ. Chicago Press,
Chicago, 1994).
4. McPeek, M. A. Am. Nat. 148 (suppl.), 124–138 (1996).
5. Whitlock, M. C. Am. Nat. 148 (suppl.), 65–77 (1996).
6. Vanhooydonck, B., Van Damme, R. & Aerts, P. Evolution 55,
1040–1048 (2001).
7. Esbjörnsson, M., Sylvén, C., Holm, I. & Jansson, E. Int. J. Sports
Med. 14, 257–263 (1993).
8. Rivero, J. L., Serrano, A. L., Henckel, P. & Agüera, E.
J. Appl. Physiol. 75, 1758–1766 (1993).
9. Dohm, M. R., Hayes, J. P. & Garland, T. Jr Evolution 50,
1688–1701 (1996).
10. Gilchrist, G. W. Evolution 50, 1560–1572 (1996).
Competing financial interests: declared none.
Decathlon competitions consist of: first day, 100 metres, long jump, shot putt, high jump and 400 metres; second day, 110-metre hurdles, discus, pole vault,
javelin and 1,500 metres. Partial correlation coefficients were used to adjust correlations between performance pairs for an athlete’s overall ability on the
basis of the other events (regardless of physiological similarity between traits). For each decathlete, all performance results are taken from their best
decathlon score. All data (units in m or in m s11) were log-transformed. Significant positive (&) and negative (1) correlations (P*0.0001) were intact
after Bonferroni correction (d.f., 590); NS, not significant.
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High jump
Long jump
100 m
110-m hurdles
&
&
1
&
NS
&
400 m
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