Trinity College Dublin, Department of Computer Science
Keane, Mark T. 'On Order Effects in Analogical Mapping: Predicting Human Error Using IAM'. - Dublin, Trinity College Dublin, Department of Computer Science, TCD-CS-95-09, 1995, pp6
Computer Science Technical Report TCD-CS-95-09
The Incremental Analogy Machine (IAM) predicts that the
order in which parts of an analogy are processed can affect
the ease of analogical mapping. In this paper, the
predictions of this model are tested in two experiments.
Previous work has shown that such order effects can be
found in attribute-mapping problems. In the first
experiment, it is shown that these effects generalise to
relational-mapping problems, when subjects' error
performance (incorrect mappings) is considered. It is also
found that relational-mapping problems are significantly
harder than attribute-mapping problems. In the second
experiment, it is shown using relational-mapping
problems, that order effects can be demonstrated for
doubles (two sentences about two indiviudals) in these
problems. Throughout the paper it is shown that these
results are best approximated by IAM's measure of the
complexity of global mappings (the remaps-complexity
measure), and not as has been found previously, by a
measure using frequency of remaps (the re-maps measure).
The empirical and theoretical significance of these results
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