Causal Model Comparison Shows That Human Representation Learning Is Not Bayesian
نویسندگان
چکیده
منابع مشابه
Causal Model Comparison Shows That Human Representation Learning Is Not Bayesian.
How do we learn what features of our multidimensional environment are relevant in a given task? To study the computational process underlying this type of "representation learning," we propose a novel method of causal model comparison. Participants played a probabilistic learning task that required them to identify one relevant feature among several irrelevant ones. To compare between two model...
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ژورنال
عنوان ژورنال: Cold Spring Harbor Symposia on Quantitative Biology
سال: 2014
ISSN: 0091-7451,1943-4456
DOI: 10.1101/sqb.2014.79.024851