@article{ref1,
title="How causal knowledge affects classification: A generative theory of categorization",
journal="Journal of experimental psychology: learning, memory, and cognition",
year="2006",
author="Rehder, Bob and Kim, Sungyop",
volume="32",
number="4",
pages="659-683",
abstract="Several theories have been proposed regarding how causal relations among features of objects affect how those objects are classified. The assumptions of these theories were tested in 3 experiments that manipulated the causal knowledge associated with novel categories. There were 3 results. The 1st was a multiple cause effect in which a feature's importance increases with its number of causes. The 2nd was a coherence effect in which good category members are those whose features jointly corroborate the category's causal knowledge. These 2 effects can be accounted for by assuming that good category members are those likely to be generated by a category's causal laws. The 3rd result was a primary cause effect, in which primary causes are more important to category membership. This effect can also be explained by a generative account with an additional assumption: that categories often are perceived to have hidden generative causes.<p /> <p>Language: en</p>",
language="en",
issn="0278-7393",
doi="10.1037/0278-7393.32.4.659",
url="http://dx.doi.org/10.1037/0278-7393.32.4.659"
}