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Massachusetts Institute of Technology

Judicious imitation : children differentially imitate deterministically and probabilistically effective actions

Abstract

dc:description.abstract

Three studies look at whether the assumption of causal determinism (the assumption that all else being equal, causes generate effects deterministically) affects children's imitation of modeled actions. We show that, even when the frequency of an effect is matched, both preschoolers and toddlers imitate actions more faithfully when modeled actions are deterministically rather than probabilistically effective. A third study suggests that preschoolers' imitation is affected, not just by whether the agent's goal is satisfied but also by whether the action is a reliable means to the goal. Children's tendency to generate variable responses to probabilistically effective modeled actions could support causal learning.

Degree

thesis:*
Department dc:contributor.department
Massachusetts Institute of Technology. Dept. of Brain and Cognitive Sciences.
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2007

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Hooppell, Catherine Amanda Jane
Advisor dc:contributor.advisor
  • Lara Schulz.

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/1721.1/42226
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/42226

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Hooppell, Catherine Amanda Jane. Judicious imitation : children differentially imitate deterministically and probabilistically effective actions. Massachusetts Institute of Technology, 2007. http://hdl.handle.net/1721.1/42226