BUCKLE: A model of unobserved cause learning.
نویسندگان
چکیده
منابع مشابه
BUCKLE: a model of unobserved cause 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. The current article reviews the way in which current learning models deal, or could deal, with unobserved causes. A new model of causal learning, BUCKLE (bidirectional unobserved cause...
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Modeling the Role of Unobserved Causes in Causal Learning
Current theories suggest that causal learning is based on covariation information. However, information about the presence/absence of events (particularly causes) is frequently unavailable, rendering them unobserved. The current paper presents a new model of causal learning, BUCKLE (Bidirectional Unobserved Cause LEarning), which extends existing models of causal learning by dynamically inferri...
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ژورنال
عنوان ژورنال: Psychological Review
سال: 2007
ISSN: 1939-1471,0033-295X
DOI: 10.1037/0033-295x.114.3.657