BUCKLE: A Model of Causal Learning
Dealing with alternative causes is necessary to avoid making inaccurate causal inferences from covariation data. However, information about alternative causes is frequently unavailable, rendering them unobserved. Some theories of causal learning make simplifying assumptions to ease the difficulty as...
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| Format: | Others |
| Language: | en |
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VANDERBILT
2006
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| Online Access: | http://etd.library.vanderbilt.edu/available/etd-03272006-134105/ |