Competence and performance in causal learning
Competence and performance in causal learning
Competence and performance in causal learning
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228 WALDMANN AND WALKER<br />
<strong>in</strong>crease the likelihood that an associative mechanism<br />
with its built-<strong>in</strong> mechanism of cue competition would<br />
take over.<br />
In our view, the most promis<strong>in</strong>g general approach to<br />
the psychology of <strong>causal</strong>ity is the research strategy most<br />
l<strong>in</strong>guists choose for the analysis of language (Chomsky,<br />
1965). We should start with models that describe our<br />
competence before we deal with conditions that prevent<br />
people from display<strong>in</strong>g their competence. If we want to<br />
learn about our language faculty, then we should give<br />
participants the opportunity to show what they can do.<br />
Later we can study errors people make under different<br />
conditions. Similarly, it is more <strong>in</strong>formative to explore<br />
what people can do when learn<strong>in</strong>g about <strong>causal</strong> relations<br />
under optimal conditions before we <strong>in</strong>vestigate conditions<br />
<strong>in</strong> which their competence fails. The models describ<strong>in</strong>g<br />
competence can then be used to p<strong>in</strong>po<strong>in</strong>t potential<br />
break po<strong>in</strong>ts that cause people to make errors.<br />
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