- Library Home /
- Search Collections /
- Open Collections /
- Browse Collections /
- UBC Theses and Dissertations /
- Integrating a physical constraint into a statistical...
Open Collections
UBC Theses and Dissertations
UBC Theses and Dissertations
Integrating a physical constraint into a statistical inference mechanism by 11-month-old infants Denison, Stephanie M.
Abstract
The majority of research on cognitive development focuses on either early-emerging domain-specific knowledge or domain-general learning mechanisms; however little research examines how these sources of knowledge might interact. Previous research suggests that 8-month-old infants can make inferences from samples to populations and 11-month-old infants can integrate psychological knowledge into this mechanism (Xu & Garcia, 2008; Xu & Denison, in press). Here we asked whether infants can integrate a physical constraint, namely, a violation of cohesion into this statistical inference mechanism. Infants succeeded at this in two ways: First, they were able to override statistical information in favor of domain-specific knowledge, reasoning that in some cases a physical constraint is more informative than probabilistic information. Second, they were able to integrate the constraint into the mechanism by using it to exclude a set of objects and then computing probabilities over two remaining sets.
Item Metadata
Title |
Integrating a physical constraint into a statistical inference mechanism by 11-month-old infants
|
Creator | |
Publisher |
University of British Columbia
|
Date Issued |
2009
|
Description |
The majority of research on cognitive development focuses on either early-emerging domain-specific knowledge or domain-general learning mechanisms; however little research examines how these sources of knowledge might interact. Previous research suggests that 8-month-old infants can make inferences from samples to populations and 11-month-old infants can integrate psychological knowledge into this mechanism (Xu & Garcia, 2008; Xu & Denison, in press). Here we asked whether infants can integrate a physical constraint, namely, a violation of cohesion into this statistical inference mechanism. Infants succeeded at this in two ways: First, they were able to override statistical information in favor of domain-specific knowledge, reasoning that in some cases a physical constraint is more informative than probabilistic information. Second, they were able to integrate the constraint into the mechanism by using it to exclude a set of objects and then computing probabilities over two remaining sets.
|
Extent |
588653 bytes
|
Genre | |
Type | |
File Format |
application/pdf
|
Language |
eng
|
Date Available |
2009-08-24
|
Provider |
Vancouver : University of British Columbia Library
|
Rights |
Attribution-NonCommercial-NoDerivatives 4.0 International
|
DOI |
10.14288/1.0067623
|
URI | |
Degree | |
Program | |
Affiliation | |
Degree Grantor |
University of British Columbia
|
Graduation Date |
2009-11
|
Campus | |
Scholarly Level |
Graduate
|
Rights URI | |
Aggregated Source Repository |
DSpace
|
Item Media
Item Citations and Data
Rights
Attribution-NonCommercial-NoDerivatives 4.0 International