TY - JOUR
T1 - Children's imitation of causal action sequences is influenced by statistical and pedagogical evidence
AU - Buchsbaum, Daphna
AU - Gopnik, Alison
AU - Griffiths, Thomas L.
AU - Shafto, Patrick
N1 - Funding Information:
We thank Cari Kaufman for discussions on the model design, Kimmy Yung, Mia Krstic, Rachel Kimm, Sophie Bridgers and Elon Ullman for help with data collection and coding, and three anonymous reviewers for their helpful comments and suggestions on an earlier version of this manuscript. This material is based upon work supported by a National Science Foundation Graduate Research Fellowship , the McDonnell Foundation Causal Learning Initiative and Grant FA9550-07-1-0351 from the Air Force Office of Scientific Research .
PY - 2011/9
Y1 - 2011/9
N2 - Children are ubiquitous imitators, but how do they decide which actions to imitate? One possibility is that children rationally combine multiple sources of information about which actions are necessary to cause a particular outcome. For instance, children might learn from contingencies between action sequences and outcomes across repeated demonstrations, and they might also use information about the actor's knowledge state and pedagogical intentions. We define a Bayesian model that predicts children will decide whether to imitate part or all of an action sequence based on both the pattern of statistical evidence and the demonstrator's pedagogical stance. To test this prediction, we conducted an experiment in which preschool children watched an experimenter repeatedly perform sequences of varying actions followed by an outcome. Children's imitation of sequences that produced the outcome increased, in some cases resulting in production of shorter sequences of actions that the children had never seen performed in isolation. A second experiment established that children interpret the same statistical evidence differently when it comes from a knowledgeable teacher versus a naïve demonstrator. In particular, in the pedagogical case children are more likely to " overimitate" by reproducing the entire demonstrated sequence. This behavior is consistent with our model's predictions, and suggests that children attend to both statistical and pedagogical evidence in deciding which actions to imitate, rather than obligately imitating successful action sequences.
AB - Children are ubiquitous imitators, but how do they decide which actions to imitate? One possibility is that children rationally combine multiple sources of information about which actions are necessary to cause a particular outcome. For instance, children might learn from contingencies between action sequences and outcomes across repeated demonstrations, and they might also use information about the actor's knowledge state and pedagogical intentions. We define a Bayesian model that predicts children will decide whether to imitate part or all of an action sequence based on both the pattern of statistical evidence and the demonstrator's pedagogical stance. To test this prediction, we conducted an experiment in which preschool children watched an experimenter repeatedly perform sequences of varying actions followed by an outcome. Children's imitation of sequences that produced the outcome increased, in some cases resulting in production of shorter sequences of actions that the children had never seen performed in isolation. A second experiment established that children interpret the same statistical evidence differently when it comes from a knowledgeable teacher versus a naïve demonstrator. In particular, in the pedagogical case children are more likely to " overimitate" by reproducing the entire demonstrated sequence. This behavior is consistent with our model's predictions, and suggests that children attend to both statistical and pedagogical evidence in deciding which actions to imitate, rather than obligately imitating successful action sequences.
KW - Bayesian inference
KW - Causal inference
KW - Cognitive development
KW - Imitation
KW - Pedagogy
KW - Statistical learning
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U2 - 10.1016/j.cognition.2010.12.001
DO - 10.1016/j.cognition.2010.12.001
M3 - Article
C2 - 21338983
AN - SCOPUS:79959800839
SN - 0010-0277
VL - 120
SP - 331
EP - 340
JO - Cognition
JF - Cognition
IS - 3
ER -